Electromagne7c Brain Mapping Physiology of source signals

Size: px
Start display at page:

Download "Electromagne7c Brain Mapping Physiology of source signals"

Transcription

1 lectromagne7c Brain Mapping Physiology of source signals Sylvain Baillet McConnell Brain Imaging Centre Montreal Neurological Ins7tute McGill University Google it! MG MNI

2 The neural cell as elementary building block

3 The neural cell as elementary building block

4 The neural cell as elementary building block

5 The neural cell as elementary building block pyramidal cell as canonical source element

6 Baillet, Nature Neuroscience (2017)

7 Baillet, Nature Neuroscience (2017)

8 Baillet, Nature Neuroscience (2017)

9 measured induced currents magnetometer Baillet, Nature Neuroscience (2017)

10 Baillet, Nature Neuroscience (2017)

11 experimental data (micro)mg Murakami et al., J. Physiol (2002) Baillet, Nature Neuroscience (2017)

12 Baillet, Nature Neuroscience (2017)

13 The equivalent current dipole = current source model of PSP s and AP s equivalent current dipole model = +

14 The equivalent current dipole = current source model of PSP s and AP s equivalent current dipole model = +

15 The equivalent current dipole = current source model of PSP s and AP s equivalent current dipole model = +

16 The equivalent current dipole = current source model of PSP s and AP s overlap of multiple PSPs yields stronger contribution to MG/G signalling equivalent current dipole model = +

17 The equivalent current dipole = current source model of PSP s and AP s overlap of multiple PSPs yields stronger contribution to MG/G signalling stronger individual currents but poorer temporal overlap of APs equivalent current dipole model = +

18 The equivalent current dipole = current source model of PSP s and AP s overlap of multiple PSPs yields stronger contribution to MG/G signalling stronger individual currents but poorer temporal overlap of APs equivalent current dipole model = + > 50,000 cells

19 The equivalent current dipole = current source model of PSP s and AP s overlap of multiple PSPs yields stronger contribution to MG/G signalling stronger individual currents but poorer temporal overlap of APs equivalent current dipole model = + > 50,000 cells > 10,000 cells

20 influence of cell morphology on signal strength radial cell morphology

21 influence of cell morphology on signal strength radial cell morphology net current dipole

22 influence of cell morphology on signal strength radial cell morphology weaker net currents than from elongated cell morphology net current dipole

23 mesoscopic distribu7on of currents cortex

24 mesoscopic distribu7on of currents cortex

25 mesoscopic distribu7on of currents cortex nuclei

26 mesoscopic distribu7on of currents cortex nuclei

27 Dynamics a rapid overview

28 Dynamics a rapid overview

29 Signal extrac7on: several op7ons

30 Signal extrac7on: several op7ons LFP G sensor/source MG sensor/source MG example

31 Signal extrac7on: several op7ons LFP G sensor/source MG sensor/source MG example

32 Signal extrac7on: several op7ons LFP G sensor/source MG sensor/source MG example

33 Signal extrac7on: several op7ons LFP G sensor/source MG sensor/source Stimulus / behavioral event MG example

34 Signal extrac7on: several op7ons Average representations LFP G sensor/source MG sensor/source Stimulus / behavioral event MG example

35 Signal extrac7on: several op7ons Average representations vent related response, perturbation LFP G sensor/source MG sensor/source Stimulus / behavioral event MG example

36 Signal extrac7on: several op7ons Average representations vent related response, perturbation frequency γ β α θ δ power time-frequency decomposition time LFP G sensor/source MG sensor/source Stimulus / behavioral event MG example

37 Temporal jizer of unitary and ensemble responses Thalamic stimulation Cortical response Contreras & Steriade, J. Neurophys. (1996)

38 vidence of low-to-high frequency coupling of neural oscilla7ons: single cells & assemblies Contreras & Steriade, J. Neurosci. (1995)

39 Oscilla7ons a scaffold of neural dynamics

40 Oscilla7ons a scaffold of neural dynamics

41 State-dependent expressions of neural oscilla7ons

42 State-dependent expressions of neural oscilla7ons Consider the res7ng-state as a case example

43 State-dependent expressions of neural oscilla7ons Consider the res7ng-state as a case example fmri - BOLD Resting-state networks Buckner et al. Ann NY Acad. Sci. (2008) Carhart-Harris & Friston, Brain (2010)

44 State-dependent expressions of neural oscilla7ons Consider the res7ng-state as a case example fmri - BOLD Resting-state networks? Buckner et al. Ann NY Acad. Sci. (2008) Carhart-Harris & Friston, Brain (2010)

45 State-dependent expressions of neural oscilla7ons Consider the res7ng-state as a case example electrophysiology fmri - BOLD Resting-state networks β α? θ γ Buckner et al. Ann NY Acad. Sci. (2008) Carhart-Harris & Friston, Brain (2010) δ

46 Correla7on between ongoing brain rhythms and BOLD high γ γ β correla7on BOLD vs. envelope of oscillatory fluctua7ons δ θ α Schölvinck et al. PNAS (2010) see also Logothe7s et al., Nature (2001)

47 Baillet, Nature Neuroscience (2017) Interdependencies in the polyrhythmic ac7vity of the brain?

48 Interdependencies in the polyrhythmic ac7vity of the brain? MG example Baillet, Nature Neuroscience (2017)

49 Interdependencies in the polyrhythmic ac7vity of the brain? e-phys power MG example frequency Baillet, Nature Neuroscience (2017)

50 Interdependencies in the polyrhythmic ac7vity of the brain? δ θ α β γ e-phys power MG example frequency Baillet, Nature Neuroscience (2017)

51 Interdependencies in the polyrhythmic ac7vity of the brain? δ θ α β γ e-phys power MG example frequency Baillet, Nature Neuroscience (2017)

52 Interdependencies in the polyrhythmic ac7vity of the brain? δ θ α β γ e-phys power MG example frequency Baillet, Nature Neuroscience (2017)

53 Interdependencies in the polyrhythmic ac7vity of the brain? cross-frequency coupling δ θ α β γ e-phys power MG example frequency Baillet, Nature Neuroscience (2017)

54 Cross-frequency phase-amplitude coupling (PAC)

55 Cross-frequency phase-amplitude coupling (PAC)

56 Cross-frequency phase-amplitude coupling (PAC)

57 Cross-frequency phase-amplitude coupling (PAC) frequency for phase (fp)

58 Cross-frequency phase-amplitude coupling (PAC) frequency for phase (fp) frequency for amplitude (fa)

59 Cross-frequency phase-amplitude coupling (PAC) γ frequency for phase (fp) frequency for amplitude (fa)

60 Cross-frequency phase-amplitude coupling (PAC) γ frequency for phase (fp) θ frequency for amplitude (fa)

61 Baillet, Nature Neuroscience (2017) Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics?

62 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI Baillet, Nature Neuroscience (2017)

63 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example Baillet, Nature Neuroscience (2017)

64 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)

65 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)

66 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)

67 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)

68 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)

69 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly Human LFP Canolty et al. Science (2006) FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)

70 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly Human LFP Canolty et al. Science (2006) FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) B Baillet, Nature Neuroscience (2017) MG Florin & Baillet NeuroImage (2015)

71 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly Human LFP Canolty et al. Science (2006) FI SI MG example : net excitability I: net inhibi7on I I Comodulogram Frequency for amplitude PAC Buszaki & Wang Ann Rev Neurosc (2012) B Baillet, Nature Neuroscience (2017) MG Florin & Baillet NeuroImage (2015)

72 Baillet, Nature Neuroscience (2017) Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics?

73 Baillet, Nature Neuroscience (2017) Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics?

74 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? FI SI Baillet, Nature Neuroscience (2017)

75 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α γ FI SI Baillet, Nature Neuroscience (2017)

76 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α γ INPUT FI SI Baillet, Nature Neuroscience (2017)

77 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI Baillet, Nature Neuroscience (2017)

78 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI Baillet, Nature Neuroscience (2017)

79 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI β Baillet, Nature Neuroscience (2017)

80 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI β δ α γ phase resetting I I I γ γ γ unpredicted STIM expected STIM expected STIM expected STIM Baillet, Nature Neuroscience (2017) β

81 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI β δ α γ phase resetting I I I γ γ γ A testable holis7c model of interdependent, polyrhythmic neural ac7vity unpredicted STIM expected STIM expected STIM expected STIM Baillet, Nature Neuroscience (2017) β

82 Wrap-up: dis7nct roles for dis7nct frequencies

83 Wrap-up: dis7nct roles for dis7nct frequencies

84 Wrap-up: dis7nct roles for dis7nct frequencies δ α: cycles of regional excitability I I

85 Wrap-up: dis7nct roles for dis7nct frequencies δ α: cycles of regional excitability I I β: bursts as expressions of top-down modulations

86 Wrap-up: dis7nct roles for dis7nct frequencies δ α: cycles of regional excitability I I β: bursts as expressions of top-down modulations γ: bursts nested in slower rhythms, bottom-up signaling

87 Wrap-up: dis7nct roles for dis7nct frequencies δ α: cycles of regional excitability I I β: bursts as expressions of top-down modulations γ: bursts nested in slower rhythms, bottom-up signaling higher γ: PSP/AP spiking?

88 Review

89 Signal origins Review

90 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere)

91 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity

92 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity Dynamics

93 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity Dynamics event-related responses as reseong of ongoing ac7vity

94 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity Dynamics event-related responses as reseong of ongoing ac7vity dis7nct roles of typical frequency bands: net excita7on, bozom-up vs top-down signaling, etc

95 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity Dynamics event-related responses as reseong of ongoing ac7vity dis7nct roles of typical frequency bands: net excita7on, bozom-up vs top-down signaling, etc a topic of intense research

Physiological and Physical Basis of Functional Brain Imaging 6. EEG/MEG. Kâmil Uludağ, 20. November 2007

Physiological and Physical Basis of Functional Brain Imaging 6. EEG/MEG. Kâmil Uludağ, 20. November 2007 Physiological and Physical Basis of Functional Brain Imaging 6. EEG/MEG Kâmil Uludağ, 20. November 2007 Course schedule 1. Overview 2. fmri (Spin dynamics, Image formation) 3. fmri (physiology) 4. fmri

More information

Models and Physiology of Macroscopic Brain Ac5vity. Jose C. Principe University of Florida

Models and Physiology of Macroscopic Brain Ac5vity. Jose C. Principe University of Florida Models and Physiology of Macroscopic Brain Ac5vity Jose C. Principe University of Florida Literature W. Freeman- Mass Ac5on in the Nervous System P. Nunez Electric Fields of the Brain H. Berger- On the

More information

Part 3. Synaptic models

Part 3. Synaptic models Part 3 Synaptic models Purpose of synap/c modeling To capture the following facts: 1. Some neurons have stronger and more las/ng influences over a given neuron than others 2. Some of these influences are

More information

Oscillations: From Neuron to MEG

Oscillations: From Neuron to MEG Oscillations: From Neuron to MEG Educational Symposium, MEG UK 2014, Nottingham, Jan 8th 2014 Krish Singh CUBRIC, School of Psychology Cardiff University What are we trying to achieve? Bridge the gap from

More information

Avalanche dynamics and the human connectome

Avalanche dynamics and the human connectome Avalanche dynamics and the human connectome J. Matias Palva Neuroscience Center, University of Helsinki http://www.helsinki.fi/neurosci/groups/palva.html matias.palva@helsinki.fi Three tiers of systems

More information

Multiscale Evidence of Multiscale Brain Communication

Multiscale Evidence of Multiscale Brain Communication Multiscale Evidence of Multiscale Brain Communication Scott Makeig Swartz Center for Computational Neuroscience Institute for Neural Computation University of California San Diego La Jolla CA Talk given

More information

Supplemental Information: Adaptation can explain evidence for encoding of probabilistic. information in macaque inferior temporal cortex

Supplemental Information: Adaptation can explain evidence for encoding of probabilistic. information in macaque inferior temporal cortex Supplemental Information: Adaptation can explain evidence for encoding of probabilistic information in macaque inferior temporal cortex Kasper Vinken and Rufin Vogels Supplemental Experimental Procedures

More information

Consciousness as representation formation from a neural Darwinian perspective *

Consciousness as representation formation from a neural Darwinian perspective * Consciousness as representation formation from a neural Darwinian perspective * Anna Kocsis, mag.phil. Institute of Philosophy Zagreb, Croatia Vjeran Kerić, mag.phil. Department of Psychology and Cognitive

More information

What do you notice? Edited from

What do you notice? Edited from What do you notice? Edited from https://www.youtube.com/watch?v=ffayobzdtc8&t=83s How can a one brain region increase the likelihood of eliciting a spike in another brain region? Communication through

More information

Lateral view of human brain! Cortical processing of touch!

Lateral view of human brain! Cortical processing of touch! Lateral view of human brain! Cortical processing of touch! How do we perceive objects held in the hand?! Touch receptors deconstruct objects to detect local features! Information is transmitted in parallel

More information

Neural Correlates of Human Cognitive Function:

Neural Correlates of Human Cognitive Function: Neural Correlates of Human Cognitive Function: A Comparison of Electrophysiological and Other Neuroimaging Approaches Leun J. Otten Institute of Cognitive Neuroscience & Department of Psychology University

More information

Analysis of in-vivo extracellular recordings. Ryan Morrill Bootcamp 9/10/2014

Analysis of in-vivo extracellular recordings. Ryan Morrill Bootcamp 9/10/2014 Analysis of in-vivo extracellular recordings Ryan Morrill Bootcamp 9/10/2014 Goals for the lecture Be able to: Conceptually understand some of the analysis and jargon encountered in a typical (sensory)

More information

What is necessary and sufficient for consciousness?

What is necessary and sufficient for consciousness? What is necessary and sufficient for consciousness? The conscious state is characterized by three critical properties: 1. Qualitativeness (how it feels) 2. Subjectivity (it exists only when experienced

More information

Causality from fmri?

Causality from fmri? Causality from fmri? Olivier David, PhD Brain Function and Neuromodulation, Joseph Fourier University Olivier.David@inserm.fr Grenoble Brain Connectivity Course Yes! Experiments (from 2003 on) Friston

More information

C3GI Structural and Functional Neural Correlates of Emotional Responses to Music. Gianluca Susi

C3GI Structural and Functional Neural Correlates of Emotional Responses to Music. Gianluca Susi C3GI 2017 Structural and Functional Neural Correlates of Emotional Responses to Music Gianluca Susi UPM/UCM Laboratory of Cognitive and Computational Neuroscience Centro de Tecnologia Biomedica Madrid

More information

Nikos Laskaris ENTEP

Nikos Laskaris ENTEP Nikos Laskaris ENTEP Reflections of learning at the University of Patras and opportunities to discover at BSI/RIKEN Understanding begins by elucidating basic brain mechanisms. This area of research is

More information

Resonant synchronization of heterogeneous inhibitory networks

Resonant synchronization of heterogeneous inhibitory networks Cerebellar oscillations: Anesthetized rats Transgenic animals Recurrent model Review of literature: γ Network resonance Life simulations Resonance frequency Conclusion Resonant synchronization of heterogeneous

More information

Experimental design for Cognitive fmri

Experimental design for Cognitive fmri Experimental design for Cognitive fmri Alexa Morcom Edinburgh SPM course 2017 Thanks to Rik Henson, Thomas Wolbers, Jody Culham, and the SPM authors for slides Overview Categorical designs Factorial designs

More information

Signal detection in networks of spiking neurons with dynamical synapses

Signal detection in networks of spiking neurons with dynamical synapses Published in AIP Proceedings 887, 83-88, 7. Signal detection in networks of spiking neurons with dynamical synapses Jorge F. Mejías and Joaquín J. Torres Dept. of Electromagnetism and Physics of the Matter

More information

Temporal patterning of neural synchrony in the basal ganglia in Parkinson s disease

Temporal patterning of neural synchrony in the basal ganglia in Parkinson s disease Temporal patterning of neural synchrony in the basal ganglia in Parkinson s disease Shivakeshavan Ratnadurai-Giridharan 1, S. Elizabeth Zauber 2, Robert M. Worth 1,3, Thomas Witt 3, Sungwoo Ahn 1,5, Leonid

More information

Stuttering Research. Vincent Gracco, PhD Haskins Laboratories

Stuttering Research. Vincent Gracco, PhD Haskins Laboratories Stuttering Research Vincent Gracco, PhD Haskins Laboratories Stuttering Developmental disorder occurs in 5% of children Spontaneous remission in approximately 70% of cases Approximately 1% of adults with

More information

11/26/12. Dendri,c processing in real neurons

11/26/12. Dendri,c processing in real neurons Dendri,c processing in real neurons N Spruston (2008) Pyramidal neurons: dendri,c structure and synap,c integra,on. Nature Rev. Neurosci. 9:206-221. The shapes of cortical pyramidal neurons vary, but follow

More information

Inhibition: Effects of Timing, Time Scales and Gap Junctions

Inhibition: Effects of Timing, Time Scales and Gap Junctions Inhibition: Effects of Timing, Time Scales and Gap Junctions I. Auditory brain stem neurons and subthreshold integ n. Fast, precise (feed forward) inhibition shapes ITD tuning. Facilitating effects of

More information

Over-representation of speech in older adults originates from early response in higher order auditory cortex

Over-representation of speech in older adults originates from early response in higher order auditory cortex Over-representation of speech in older adults originates from early response in higher order auditory cortex Christian Brodbeck, Alessandro Presacco, Samira Anderson & Jonathan Z. Simon Overview 2 Puzzle

More information

Introduction to Electrophysiology

Introduction to Electrophysiology Introduction to Electrophysiology Dr. Kwangyeol Baek Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School 2018-05-31s Contents Principles in Electrophysiology Techniques

More information

Beyond Blind Averaging: Analyzing Event-Related Brain Dynamics. Scott Makeig. sccn.ucsd.edu

Beyond Blind Averaging: Analyzing Event-Related Brain Dynamics. Scott Makeig. sccn.ucsd.edu Beyond Blind Averaging: Analyzing Event-Related Brain Dynamics Scott Makeig Institute for Neural Computation University of California San Diego La Jolla CA sccn.ucsd.edu Talk given at the EEG/MEG course

More information

MEG Coherence Imaging of Low frequencies: Applications for Stroke and Migraine & DC shifts in spreading cortical depression. Susan M.

MEG Coherence Imaging of Low frequencies: Applications for Stroke and Migraine & DC shifts in spreading cortical depression. Susan M. MEG Coherence Imaging of Low frequencies: Applications for Stroke and Migraine & DC shifts in spreading cortical depression Susan M. Bowyer PhD John Moran PhD, Karen M Mason R.EEG/MEG T, Brien J Smith

More information

Theta sequences are essential for internally generated hippocampal firing fields.

Theta sequences are essential for internally generated hippocampal firing fields. Theta sequences are essential for internally generated hippocampal firing fields. Yingxue Wang, Sandro Romani, Brian Lustig, Anthony Leonardo, Eva Pastalkova Supplementary Materials Supplementary Modeling

More information

Biennial SPM course The BOLD signal. Cyril Pernet. Centre for Clinical Brain Sciences (CCBS) Neuroimaging Sciences

Biennial SPM course The BOLD signal. Cyril Pernet. Centre for Clinical Brain Sciences (CCBS) Neuroimaging Sciences Biennial SPM course 2017 The BOLD signal Cyril Pernet Centre for Clinical Brain Sciences (CCBS) Neuroimaging Sciences Overview 1. MRI physics 2. Neurovascular coupling 3. Neural activity and BOLD 4. Experimental

More information

COGS 107B Systems Neuroscience. Week 6: Study Ques=ons

COGS 107B Systems Neuroscience. Week 6: Study Ques=ons COGS 107B Systems Neuroscience Week 6: Study Ques=ons Auditory System II Neuromodulators and Drugs of Abuse Auditory System Neurons in the primary auditory cortex (A1) are sensi=ve to of sounds. Neurons

More information

The physiology of the BOLD signal What do we measure with fmri?

The physiology of the BOLD signal What do we measure with fmri? The physiology of the BOLD signal What do we measure with fmri? Methods and Models in fmri, 10.11.2012 Jakob Heinzle Translational Neuromodeling Unit (TNU) Institute for Biomedical Engineering (IBT) University

More information

The webinar will begin momentarily. Tractography-based Targeting for Functional Neurosurgery

The webinar will begin momentarily. Tractography-based Targeting for Functional Neurosurgery Welcome The webinar will begin momentarily. Tractography-based Targeting for Functional Neurosurgery Vibhor Krishna, MD, SM Assistant Professor, Center for Neuromoduation, Dept. of Neurosurgery and Dept.

More information

PHY3111 Mid-Semester Test Study. Lecture 2: The hierarchical organisation of vision

PHY3111 Mid-Semester Test Study. Lecture 2: The hierarchical organisation of vision PHY3111 Mid-Semester Test Study Lecture 2: The hierarchical organisation of vision 1. Explain what a hierarchically organised neural system is, in terms of physiological response properties of its neurones.

More information

Effects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations

Effects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations Effects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations 1 2 3 4 5 Scott Cole Richard Gao Neurosciences Graduate Program Department of Cognitive Science University of California,

More information

Precise Spike Timing and Reliability in Neural Encoding of Low-Level Sensory Stimuli and Sequences

Precise Spike Timing and Reliability in Neural Encoding of Low-Level Sensory Stimuli and Sequences Precise Spike Timing and Reliability in Neural Encoding of Low-Level Sensory Stimuli and Sequences Temporal Structure In the World Representation in the Brain Project 1.1.2 Feldman and Harris Labs Temporal

More information

Cortical Map Plasticity. Gerald Finnerty Dept Basic and Clinical Neuroscience

Cortical Map Plasticity. Gerald Finnerty Dept Basic and Clinical Neuroscience Cortical Map Plasticity Gerald Finnerty Dept Basic and Clinical Neuroscience Learning Objectives Be able to: 1. Describe the characteristics of a cortical map 2. Appreciate that the term plasticity is

More information

Do women with fragile X syndrome have problems in switching attention: Preliminary findings from ERP and fmri

Do women with fragile X syndrome have problems in switching attention: Preliminary findings from ERP and fmri Brain and Cognition 54 (2004) 235 239 www.elsevier.com/locate/b&c Do women with fragile X syndrome have problems in switching attention: Preliminary findings from ERP and fmri Kim Cornish, a,b, * Rachel

More information

Introduction to Computational Neuroscience

Introduction to Computational Neuroscience Introduction to Computational Neuroscience Lecture 7: Network models Lesson Title 1 Introduction 2 Structure and Function of the NS 3 Windows to the Brain 4 Data analysis 5 Data analysis II 6 Single neuron

More information

Perceptual Grouping in a Self-Organizing Map of Spiking Neurons

Perceptual Grouping in a Self-Organizing Map of Spiking Neurons Perceptual Grouping in a Self-Organizing Map of Spiking Neurons Yoonsuck Choe Department of Computer Sciences The University of Texas at Austin August 13, 2001 Perceptual Grouping Group Two! Longest Contour?

More information

Dynamic Changes in Phase-Amplitude Coupling Facilitate Spatial Attention Control in Fronto-Parietal Cortex

Dynamic Changes in Phase-Amplitude Coupling Facilitate Spatial Attention Control in Fronto-Parietal Cortex Dynamic Changes in Phase-Amplitude Coupling Facilitate Spatial Attention Control in Fronto-Parietal Cortex Sara M. Szczepanski 1,2 *, Nathan E. Crone 3, Rachel A. Kuperman 4, Kurtis I. Auguste 5,6, Josef

More information

Active Control of Spike-Timing Dependent Synaptic Plasticity in an Electrosensory System

Active Control of Spike-Timing Dependent Synaptic Plasticity in an Electrosensory System Active Control of Spike-Timing Dependent Synaptic Plasticity in an Electrosensory System Patrick D. Roberts and Curtis C. Bell Neurological Sciences Institute, OHSU 505 N.W. 185 th Avenue, Beaverton, OR

More information

Synaptic excitation of principal cells in the cat's lateral geniculate nucleus during focal epileptic seizures in the visual cortex

Synaptic excitation of principal cells in the cat's lateral geniculate nucleus during focal epileptic seizures in the visual cortex Synaptic excitation of principal cells in the cat's lateral geniculate nucleus during focal epileptic seizures in the visual cortex Andrzej wr6be11, Anders ~ edstr~m~ and Sivert ~indstrsm~ 'Department

More information

The Role of Mitral Cells in State Dependent Olfactory Responses. Trygve Bakken & Gunnar Poplawski

The Role of Mitral Cells in State Dependent Olfactory Responses. Trygve Bakken & Gunnar Poplawski The Role of Mitral Cells in State Dependent Olfactory Responses Trygve akken & Gunnar Poplawski GGN 260 Neurodynamics Winter 2008 bstract Many behavioral studies have shown a reduced responsiveness to

More information

The role of amplitude, phase, and rhythmicity of neural oscillations in top-down control of cognition

The role of amplitude, phase, and rhythmicity of neural oscillations in top-down control of cognition The role of amplitude, phase, and rhythmicity of neural oscillations in top-down control of cognition Chair: Jason Samaha, University of Wisconsin-Madison Co-Chair: Ali Mazaheri, University of Birmingham

More information

Oscillatory Neural Network for Image Segmentation with Biased Competition for Attention

Oscillatory Neural Network for Image Segmentation with Biased Competition for Attention Oscillatory Neural Network for Image Segmentation with Biased Competition for Attention Tapani Raiko and Harri Valpola School of Science and Technology Aalto University (formerly Helsinki University of

More information

Perturbations of cortical "ringing" in a model with local, feedforward, and feedback recurrence

Perturbations of cortical ringing in a model with local, feedforward, and feedback recurrence Perturbations of cortical "ringing" in a model with local, feedforward, and feedback recurrence Kimberly E. Reinhold Department of Neuroscience University of California, San Diego San Diego, CA 9237 kreinhol@ucsd.edu

More information

Structural And Functional Integration: Why all imaging requires you to be a structural imager. David H. Salat

Structural And Functional Integration: Why all imaging requires you to be a structural imager. David H. Salat Structural And Functional Integration: Why all imaging requires you to be a structural imager David H. Salat salat@nmr.mgh.harvard.edu Salat:StructFunct:HST.583:2015 Structural Information is Critical

More information

Biomarkers in Schizophrenia

Biomarkers in Schizophrenia Biomarkers in Schizophrenia David A. Lewis, MD Translational Neuroscience Program Department of Psychiatry NIMH Conte Center for the Neuroscience of Mental Disorders University of Pittsburgh Disease Process

More information

Normal brain rhythms and the transition to epileptic activity

Normal brain rhythms and the transition to epileptic activity School on Modelling, Automation and Control of Physiological variables at the Faculty of Science, University of Porto 2-3 May, 2007 Topics on Biomedical Systems Modelling: transition to epileptic activity

More information

Electrophysiological and firing properties of neurons: categorizing soloists and choristers in primary visual cortex

Electrophysiological and firing properties of neurons: categorizing soloists and choristers in primary visual cortex *Manuscript Click here to download Manuscript: Manuscript revised.docx Click here to view linked Referenc Electrophysiological and firing properties of neurons: categorizing soloists and choristers in

More information

Report. Direct Recordings of Pitch Responses from Human Auditory Cortex

Report. Direct Recordings of Pitch Responses from Human Auditory Cortex Current Biology 0,, June, 00 ª00 Elsevier Ltd. Open access under CC BY license. DOI 0.0/j.cub.00.0.0 Direct Recordings of Pitch Responses from Human Auditory Cortex Report Timothy D. Griffiths,, * Sukhbinder

More information

Areas of the visual cortex are arranged hierarchically, with

Areas of the visual cortex are arranged hierarchically, with Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex Timo van Kerkoerle a,1, Matthew W. Self a, Bruno Dagnino a, Marie-Alice Gariel-Mathis a, Jasper Poort

More information

Reading Neuronal Synchrony with Depressing Synapses

Reading Neuronal Synchrony with Depressing Synapses NOTE Communicated by Laurence Abbott Reading Neuronal Synchrony with Depressing Synapses W. Senn Department of Neurobiology, Hebrew University, Jerusalem 4, Israel, Department of Physiology, University

More information

NEURAL CONTROL OF MOVEMENT: ENGINEERING THE RHYTHMS OF THE BRAIN

NEURAL CONTROL OF MOVEMENT: ENGINEERING THE RHYTHMS OF THE BRAIN NEURAL CONTROL OF MOVEMENT: ENGINEERING THE RHYTHMS OF THE BRAIN Madeleine Lowery School of Electrical and Electronic Engineering Centre for Biomedical Engineering University College Dublin Parkinson s

More information

A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current

A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current Zaneta Navratilova and Jean-Marc Fellous ARL Division of Neural Systems, Memory and Aging University of Arizona,

More information

COGS 107B Week 1. Hyun Ji Friday 4:00-4:50pm

COGS 107B Week 1. Hyun Ji Friday 4:00-4:50pm COGS 107B Week 1 Hyun Ji Friday 4:00-4:50pm Before We Begin... Hyun Ji 4th year Cognitive Behavioral Neuroscience Email: hji@ucsd.edu In subject, always add [COGS107B] Office hours: Wednesdays, 3-4pm in

More information

Levodopa vs. deep brain stimulation: computational models of treatments for Parkinson's disease

Levodopa vs. deep brain stimulation: computational models of treatments for Parkinson's disease Levodopa vs. deep brain stimulation: computational models of treatments for Parkinson's disease Abstract Parkinson's disease (PD) is a neurodegenerative disease affecting the dopaminergic neurons of the

More information

Supplementary Information Supplementary Table 1. Quantitative features of EC neuron dendrites

Supplementary Information Supplementary Table 1. Quantitative features of EC neuron dendrites Supplementary Information Supplementary Table 1. Quantitative features of EC neuron dendrites Supplementary Table 2. Quantitative features of EC neuron axons 1 Supplementary Figure 1. Layer distribution

More information

Neocortex. Cortical Structures in the Brain. Neocortex Facts. Laminar Organization. Bark-like (cortical) structures: Shepherd (2004) Chapter 12

Neocortex. Cortical Structures in the Brain. Neocortex Facts. Laminar Organization. Bark-like (cortical) structures: Shepherd (2004) Chapter 12 Neocortex Shepherd (2004) Chapter 12 Rodney Douglas, Henry Markram, and Kevan Martin Instructor: Yoonsuck Choe; CPSC 644 Cortical Networks Cortical Structures in the Brain Bark-like (cortical) structures:

More information

Early Stages of Vision Might Explain Data to Information Transformation

Early Stages of Vision Might Explain Data to Information Transformation Early Stages of Vision Might Explain Data to Information Transformation Baran Çürüklü Department of Computer Science and Engineering Mälardalen University Västerås S-721 23, Sweden Abstract. In this paper

More information

The Tools: Imaging the Living Brain

The Tools: Imaging the Living Brain The Tools: Imaging the Living Brain I believe the study of neuroimaging has supported the localization of mental operations within the human brain. -Michael I. Posner, 2003 Neuroimaging methods Since Descarte

More information

Functional MRI of the dynamic brain: quasiperiodic patterns, brain states, and trajectories. Shella Keilholz BME, Emory/Georgia Tech 20 March 2018

Functional MRI of the dynamic brain: quasiperiodic patterns, brain states, and trajectories. Shella Keilholz BME, Emory/Georgia Tech 20 March 2018 Functional MRI of the dynamic brain: quasiperiodic patterns, brain states, and trajectories Shella Keilholz BME, Emory/Georgia Tech 20 March 2018 Resting State fmri No stimulus Looks at spontaneous BOLD

More information

Thalamo-Cortical Relationships Ultrastructure of Thalamic Synaptic Glomerulus

Thalamo-Cortical Relationships Ultrastructure of Thalamic Synaptic Glomerulus Central Visual Pathways V1/2 NEUR 3001 dvanced Visual Neuroscience The Lateral Geniculate Nucleus () is more than a relay station LP SC Professor Tom Salt UCL Institute of Ophthalmology Retina t.salt@ucl.ac.uk

More information

Mechanosensation. Central Representation of Touch. Wilder Penfield. Somatotopic Organization

Mechanosensation. Central Representation of Touch. Wilder Penfield. Somatotopic Organization Mechanosensation Central Representation of Touch Touch and tactile exploration Vibration and pressure sensations; important for clinical testing Limb position sense John H. Martin, Ph.D. Center for Neurobiology

More information

Experimental design of fmri studies

Experimental design of fmri studies Experimental design of fmri studies Kerstin Preuschoff Computational Neuroscience Lab, EPFL LREN SPM Course Lausanne April 10, 2013 With many thanks for slides & images to: Rik Henson Christian Ruff Sandra

More information

Beyond bumps: Spiking networks that store sets of functions

Beyond bumps: Spiking networks that store sets of functions Neurocomputing 38}40 (2001) 581}586 Beyond bumps: Spiking networks that store sets of functions Chris Eliasmith*, Charles H. Anderson Department of Philosophy, University of Waterloo, Waterloo, Ont, N2L

More information

Recording ac0vity in intact human brain. Recording ac0vity in intact human brain

Recording ac0vity in intact human brain. Recording ac0vity in intact human brain Recording ac0vity in intact human brain Recording ac0vity in intact human brain BIONB 4910 April 8, 2014 BIONB 4910 April 8, 2014 Objec0ves: - - review available recording methods EEG and MEG single unit

More information

Attention March 4, 2009

Attention March 4, 2009 Attention March 4, 29 John Maunsell Mitchell, JF, Sundberg, KA, Reynolds, JH (27) Differential attention-dependent response modulation across cell classes in macaque visual area V4. Neuron, 55:131 141.

More information

High Frequency Oscillations in Temporal Lobe Epilepsy

High Frequency Oscillations in Temporal Lobe Epilepsy High Frequency Oscillations in Temporal Lobe Epilepsy Paolo Federico MD, PhD, FRCPC Departments of Clinical Neurosciences and Diagnostic Imaging University of Calgary 7 June 2012 Learning Objectives Understand

More information

Visual Streams. A"en%on

Visual Streams. Aen%on al Pathways Visual Streams A"en%on Dorsal Stream: Vision beyond iden4fica4on Ventral Stream: Iden4fica4on Hierarchical Organiza4on Columnar architecture in other visual areas Fujita, Tanaka, Ito, Cheng,

More information

The firing rates of cortical neurons carry information about

The firing rates of cortical neurons carry information about Feedback stabilizes propagation of synchronous spiking in cortical neural networks Samat Moldakarimov a,b, Maxim Bazhenov a,c, and Terrence J. Sejnowski a,b,d, a Howard Hughes Medical Institute, Salk Institute

More information

The Central Nervous System

The Central Nervous System The Central Nervous System Cellular Basis. Neural Communication. Major Structures. Principles & Methods. Principles of Neural Organization Big Question #1: Representation. How is the external world coded

More information

Sum of Neurally Distinct Stimulus- and Task-Related Components.

Sum of Neurally Distinct Stimulus- and Task-Related Components. SUPPLEMENTARY MATERIAL for Cardoso et al. 22 The Neuroimaging Signal is a Linear Sum of Neurally Distinct Stimulus- and Task-Related Components. : Appendix: Homogeneous Linear ( Null ) and Modified Linear

More information

Brain and Cognition. Cognitive Neuroscience. If the brain were simple enough to understand, we would be too stupid to understand it

Brain and Cognition. Cognitive Neuroscience. If the brain were simple enough to understand, we would be too stupid to understand it Brain and Cognition Cognitive Neuroscience If the brain were simple enough to understand, we would be too stupid to understand it 1 The Chemical Synapse 2 Chemical Neurotransmission At rest, the synapse

More information

Outline. Biological Psychology: Research Methods. Dr. Katherine Mickley Steinmetz

Outline. Biological Psychology: Research Methods. Dr. Katherine Mickley Steinmetz Biological Psychology: Research Methods Dr. Katherine Mickley Steinmetz Outline Neuroscience Methods Histology Electrophysiological Recordings Lesion Neuroimaging Neuroanatomy Histology: Brain structure

More information

PHGY 210,2,4 - Physiology SENSORY PHYSIOLOGY. Martin Paré

PHGY 210,2,4 - Physiology SENSORY PHYSIOLOGY. Martin Paré PHGY 210,2,4 - Physiology SENSORY PHYSIOLOGY Martin Paré Associate Professor of Physiology & Psychology pare@biomed.queensu.ca http://brain.phgy.queensu.ca/pare PHGY 210,2,4 - Physiology SENSORY PHYSIOLOGY

More information

Investigations in Resting State Connectivity. Overview

Investigations in Resting State Connectivity. Overview Investigations in Resting State Connectivity Scott FMRI Laboratory Overview Introduction Functional connectivity explorations Dynamic change (motor fatigue) Neurological change (Asperger s Disorder, depression)

More information

Circuits & Behavior. Daniel Huber

Circuits & Behavior. Daniel Huber Circuits & Behavior Daniel Huber How to study circuits? Anatomy (boundaries, tracers, viral tools) Inactivations (lesions, optogenetic, pharma, accidents) Activations (electrodes, magnets, optogenetic)

More information

Thalamocortical Feedback and Coupled Oscillators

Thalamocortical Feedback and Coupled Oscillators Thalamocortical Feedback and Coupled Oscillators Balaji Sriram March 23, 2009 Abstract Feedback systems are ubiquitous in neural systems and are a subject of intense theoretical and experimental analysis.

More information

Supplementary Figure 1

Supplementary Figure 1 8w Pia II/III IV V VI PV EYFP EYFP PV EYFP PV d PV EYFP Supplementary Figure a Spike probability x - PV-Cre d Spike probability x - RS RS b e Spike probability Spike probability.6......8..... FS FS c f

More information

Discriminative Analysis for Image-Based Studies

Discriminative Analysis for Image-Based Studies Discriminative Analysis for Image-Based Studies Polina Golland 1, Bruce Fischl 2, Mona Spiridon 3, Nancy Kanwisher 3, Randy L. Buckner 4, Martha E. Shenton 5, Ron Kikinis 6, Anders Dale 2, and W. Eric

More information

AUXILIARIES AND NEUROPLASTICITY

AUXILIARIES AND NEUROPLASTICITY AUXILIARIES AND NEUROPLASTICITY Claudio Babiloni, Ph.D. Department of Biomedical Sciences, University of Foggia (UNIFG), Italy UNIFG structured personnel involved Prof. Claudio Babiloni (Coordinator),

More information

Neurobiology of Hearing (Salamanca, 2012) Auditory Cortex (2) Prof. Xiaoqin Wang

Neurobiology of Hearing (Salamanca, 2012) Auditory Cortex (2) Prof. Xiaoqin Wang Neurobiology of Hearing (Salamanca, 2012) Auditory Cortex (2) Prof. Xiaoqin Wang Laboratory of Auditory Neurophysiology Department of Biomedical Engineering Johns Hopkins University web1.johnshopkins.edu/xwang

More information

Prof. Greg Francis 7/31/15

Prof. Greg Francis 7/31/15 s PSY 200 Greg Francis Lecture 06 How do you recognize your grandmother? Action potential With enough excitatory input, a cell produces an action potential that sends a signal down its axon to other cells

More information

(And what are we measuring with?) SPM course, 8 May MPI for Human Cognitive and Brain Sciences, Leipzig, Germany

(And what are we measuring with?) SPM course, 8 May MPI for Human Cognitive and Brain Sciences, Leipzig, Germany (And what are we with?) MPI for Human Cognitive and Brain Sciences, Leipzig, Germany SPM course, 8 May 2017 1/40 Contents 1 2 3 4 2/40 1 2 3 4 3/40 MEG and EEG are the same underlying neural current sources

More information

Supporting Information

Supporting Information Supporting Information Lingnau et al. 10.1073/pnas.0902262106 Fig. S1. Material presented during motor act observation (A) and execution (B). Each row shows one of the 8 different motor acts. Columns in

More information

CS/NEUR125 Brains, Minds, and Machines. Due: Friday, April 14

CS/NEUR125 Brains, Minds, and Machines. Due: Friday, April 14 CS/NEUR125 Brains, Minds, and Machines Assignment 5: Neural mechanisms of object-based attention Due: Friday, April 14 This Assignment is a guided reading of the 2014 paper, Neural Mechanisms of Object-Based

More information

Methodological challenges (and value) of intracranial electrophysiological recordings in humans

Methodological challenges (and value) of intracranial electrophysiological recordings in humans Methodological challenges (and value) of intracranial electrophysiological recordings in humans Nanthia Suthana, Ph.D. Assistant Professor of Psychiatry & Biobehavioral Sciences, Neurosurgery, and Psychology

More information

Structure and Function of the Auditory and Vestibular Systems (Fall 2014) Auditory Cortex (3) Prof. Xiaoqin Wang

Structure and Function of the Auditory and Vestibular Systems (Fall 2014) Auditory Cortex (3) Prof. Xiaoqin Wang 580.626 Structure and Function of the Auditory and Vestibular Systems (Fall 2014) Auditory Cortex (3) Prof. Xiaoqin Wang Laboratory of Auditory Neurophysiology Department of Biomedical Engineering Johns

More information

Informationsverarbeitung im zerebralen Cortex

Informationsverarbeitung im zerebralen Cortex Informationsverarbeitung im zerebralen Cortex Thomas Klausberger Dept. Cognitive Neurobiology, Center for Brain Research, Med. Uni. Vienna The hippocampus is a key brain circuit for certain forms of memory

More information

Spectral fingerprints of large-scale neuronal interactions

Spectral fingerprints of large-scale neuronal interactions Nature Reviews Neuroscience AOP, published online 11 January 212; doi:1.138/nrn3137 REVIEWS Spectral fingerprints of large-scale neuronal interactions Markus Siegel 1 *, Tobias H. Donner 2 * and Andreas

More information

Music-induced Emotions and Musical Regulation and Emotion Improvement Based on EEG Technology

Music-induced Emotions and Musical Regulation and Emotion Improvement Based on EEG Technology Music-induced Emotions and Musical Regulation and Emotion Improvement Based on EEG Technology Xiaoling Wu 1*, Guodong Sun 2 ABSTRACT Musical stimulation can induce emotions as well as adjust and improve

More information

Input-speci"c adaptation in complex cells through synaptic depression

Input-specic adaptation in complex cells through synaptic depression 0 0 0 0 Neurocomputing }0 (00) } Input-speci"c adaptation in complex cells through synaptic depression Frances S. Chance*, L.F. Abbott Volen Center for Complex Systems and Department of Biology, Brandeis

More information

Neuron Phase Response

Neuron Phase Response BioE332A Lab 4, 2007 1 Lab 4 February 2, 2007 Neuron Phase Response In this lab, we study the effect of one neuron s spikes on another s, combined synapse and neuron behavior. In Lab 2, we characterized

More information

Modeling the interplay of short-term memory and the basal ganglia in sequence processing

Modeling the interplay of short-term memory and the basal ganglia in sequence processing Neurocomputing 26}27 (1999) 687}692 Modeling the interplay of short-term memory and the basal ganglia in sequence processing Tomoki Fukai* Department of Electronics, Tokai University, Hiratsuka, Kanagawa

More information

Synchrony Generation in Recurrent Networks with Frequency-Dependent Synapses

Synchrony Generation in Recurrent Networks with Frequency-Dependent Synapses The Journal of Neuroscience, 2000, Vol. 20 RC50 1of5 Synchrony Generation in Recurrent Networks with Frequency-Dependent Synapses Misha Tsodyks, Asher Uziel, and Henry Markram Department of Neurobiology,

More information

Computing with Spikes in Recurrent Neural Networks

Computing with Spikes in Recurrent Neural Networks Computing with Spikes in Recurrent Neural Networks Dezhe Jin Department of Physics The Pennsylvania State University Presented at ICS Seminar Course, Penn State Jan 9, 2006 Outline Introduction Neurons,

More information

Neuroscience of Consciousness I

Neuroscience of Consciousness I 1 C83MAB: Mind and Brain Neuroscience of Consciousness I Tobias Bast, School of Psychology, University of Nottingham 2 What is consciousness? 3 Consciousness State of consciousness - Being awake/alert/attentive/responsive

More information

Functional connectivity in fmri

Functional connectivity in fmri Functional connectivity in fmri Cyril Pernet, PhD Language and Categorization Laboratory, Brain Research Imaging Centre, University of Edinburgh Studying networks fmri can be used for studying both, functional

More information