Synchrony and the attentional state

Similar documents
1 Introduction Synchronous ring of action potentials amongst multiple neurons is a phenomenon that has been observed in a wide range of neural systems

Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex

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

Supplementary Motor Area exerts Proactive and Reactive Control of Arm Movements

Processing and Plasticity in Rodent Somatosensory Cortex

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

Control of Selective Visual Attention: Modeling the "Where" Pathway

Correlation at the neuron and population levels. Correlation at the neuron and population levels. Recording from LGN/V1.

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

Prof. Greg Francis 7/31/15

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

The Integration of Features in Visual Awareness : The Binding Problem. By Andrew Laguna, S.J.

Entrainment of neuronal oscillations as a mechanism of attentional selection: intracranial human recordings

A coincidence detector neural network model of selective attention

Oscillations: From Neuron to MEG

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

Spatial and Temporal Structure of Receptive Fields in Primate Somatosensory Area 3b: Effects of Stimulus Scanning Direction and Orientation

Lecture 35 Association Cortices and Hemispheric Asymmetries -- M. Goldberg

Spectro-temporal response fields in the inferior colliculus of awake monkey

Neural Correlates of High-Gamma Oscillations ( Hz) in Macaque Local Field Potentials and Their Potential Implications in Electrocorticography

Commentary on Moran and Desimone's 'spotlight in V4

Key questions about attention

NIH Public Access Author Manuscript J Neurosci. Author manuscript; available in PMC 2009 July 26.

A U'Cortical Substrate of Haptic Representation"

Chapter 7, Neural Coding

Selective Attention. Modes of Control. Domains of Selection

Timing and the cerebellum (and the VOR) Neurophysiology of systems 2010

Association Cortex, Asymmetries, and Cortical Localization of Affective and Cognitive Functions. Michael E. Goldberg, M.D.

Relationships between Spike Train Spatiotemporal Structure and Cortical Synchronization

A COMPETITIVE NETWORK OF SPIKING VLSI NEURONS

Clusters, Symbols and Cortical Topography

Convergence of Submodality-Specific Input Onto Neurons in Primary Somatosensory Cortex

Supplemental Material

Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., Fried, I. (2005). Invariant visual representation by single neurons in the human brain, Nature,

Lateral view of human brain! Cortical processing of touch!

Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway

The origins of localization

Lecture overview. What hypothesis to test in the fly? Quantitative data collection Visual physiology conventions ( Methods )

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

The Nonhuman Primate as Model System for Mechanistic Studies of Glutamate System Function and Dysfunction

Computational Models of Visual Attention: Bottom-Up and Top-Down. By: Soheil Borhani

Robust Neural Encoding of Speech in Human Auditory Cortex

The Central Nervous System

Retinotopy & Phase Mapping

Neural Coding. Computing and the Brain. How Is Information Coded in Networks of Spiking Neurons?

Consciousness The final frontier!

Two-Point Threshold Experiment

What do you notice? Edited from

Reading Neuronal Synchrony with Depressing Synapses

Peter N. Steinmetz, M.D., Ph.D.

Attention decouples action potentials from the phase of local field potentials in macaque visual cortical area MT

Supplemental Information. Gamma and the Coordination of Spiking. Activity in Early Visual Cortex. Supplemental Information Inventory:

Cognitive Modelling Themes in Neural Computation. Tom Hartley

The individual animals, the basic design of the experiments and the electrophysiological

Dendritic compartmentalization could underlie competition and attentional biasing of simultaneous visual stimuli

PSY 310: Sensory and Perceptual Processes 1

Touch PSY 310 Greg Francis. Lecture 33. Touch perception

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

The role of phase synchronization in memory processes

Overview of Questions

Computational Cognitive Science. The Visual Processing Pipeline. The Visual Processing Pipeline. Lecture 15: Visual Attention.

TEMPORAL PRECISION OF SENSORY RESPONSES Berry and Meister, 1998

Rhythm and Rate: Perception and Physiology HST November Jennifer Melcher

Competing Streams at the Cocktail Party

Information and neural computations

Control of visuo-spatial attention. Emiliano Macaluso

The Tools: Imaging the Living Brain

Theory of correlation transfer and correlation structure in recurrent networks

EDGE DETECTION. Edge Detectors. ICS 280: Visual Perception

Cognitive Neuroscience Attention

Supplementary materials for: Executive control processes underlying multi- item working memory

A mechanism for cognitive dynamics: neuronal communication through neuronal

Introduction to Computational Neuroscience

Conscious control of movements: increase of temporal precision in voluntarily delayed actions

Chapter 14: The Cutaneous Senses

Attention Response Functions: Characterizing Brain Areas Using fmri Activation during Parametric Variations of Attentional Load

Awake-behaving recordings in mice during fear conditioning. Eric H. Chang, Ph.D. Goldsmith Postdoctoral Fellow

The Pennsylvania State University. The Graduate School. College of Medicine

Visual attention: the where, what, how and why of saliency Stefan Treue

Informationsverarbeitung im zerebralen Cortex

Neural mechanisms of selective attention in the somatosensory system

(Visual) Attention. October 3, PSY Visual Attention 1

A neural network model of the attentional blink phenomenon

Velocity Invariance of Receptive Field Structure in Somatosensory Cortical Area 3b of the Alert Monkey

Pre-Attentive Visual Selection

NIH Public Access Author Manuscript J Vis. Author manuscript; available in PMC 2010 August 4.

Signal detection in networks of spiking neurons with dynamical synapses

Signals, systems, acoustics and the ear. Week 5. The peripheral auditory system: The ear as a signal processor

Computational Cognitive Science

Strength of Gamma Rhythm Depends on Normalization

Voluntary Movements. Lu Chen, Ph.D. MCB, UC Berkeley. Outline. Organization of the motor cortex (somatotopic) Corticospinal projection

SA1 and RA Afferent Responses to Static and Vibrating Gratings

Sound Waves. Sensation and Perception. Sound Waves. Sound Waves. Sound Waves

Neurons of the cerebral cortex exhibit precise inter spike timing in correspondence to behavior

LEAH KRUBITZER RESEARCH GROUP LAB PUBLICATIONS WHAT WE DO LINKS CONTACTS

SUPPLEMENTARY INFORMATION

Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model

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

Somatosensation. Recording somatosensory responses. Receptive field response to pressure


Transcription:

Synchrony and the attentional state Ernst Niebur, Dept. of Neuroscience & Krieger Mind/Brain Institute Johns Hopkins University niebur@jhu.edu

Collaborators Arup Roy monkey monkey Peter monkey Steven monkey Ken human Supratim Ray (now Harvard U) human Nathan Crone Steinmetz (now Arizona State U) Hsiao Johnson

Modeling the What Pathway Assume attentional selection has been made in Where pathway: How to tell the What pathway? ("What is the representation of attention?") Physical properties and attentional state are 'quasi orthogonal' difficult to represent both by firing rate Hypothesis: Attentional state is represented by synchrony structure of spike trains (quasi orthogonal to rate) "Temporal Tagging" A hybrid (temporal code > rate code) representation

Temporal Tagging Attentional Control (e.g by bottom up Saliency Map: Niebur & Koch, 1996; Itti, Koch, Niebur 1998; Top down control: Usher & Niebur 1995) FoA RF V2 V2: Modulation of temporal structure V4: Coincidence detection/integration

Predictions Peak in crosscorrelation between attended stimuli No peaks between unattended stimuli Rate dependence at higher levels V2 Attended V4 Attended V4 Unattended Niebur & Koch, 1994

Experimental Test: Somatosensory attention in awake behaving monkey Experimental Paradigm: Macaque receives simultaneous visual and tactile stimulation Attention switched between visual and tactile task Performance approx. 90% correct Tactile input identical during both tasks Record in SII cortex Analyze temporal structure and correlation with attentional state

Task Monkeys 1&2 Complex patterns (letters) scanned across finger pad Twist lever when target pattern appears Blocked with visual task (dimming detection)

Task Monkey 3 Tactile task: Delayed match to sample of orientation Visual task: Detect dimming (as for M1 & M2)

Data Set Up to 7 electrodes 436 SII cells in 4 hemispheres of 3 monkeys. 648 cell pairs analyzed. Cells in pair had overlapping fields on the hands. Cells in pair recorded on separate electrodes, average distance 1 mm, minimum 400 m.

Responses of a neural pair Tactile (attended) Visual (unattended) Tactile Visual Expected

Quantify deviation of correlation function from shiftpredictor Cross Correlation Shift Predictor

Synchrony changes with attentional state Attended Unatt. (remember the predictions...)

Quantification of difference between shift predictor corrected corr. Functions Attended Unattended Significance testing by bootstrap

Pairs with synchrony Monkey Synchronous Change with Increase with pairs attention attention M: constant target letter 50/95 (53%) 8/50 (16%) 7/8 (87%) M2: varying target letter 113/145 (78%) 41/116 (35%) 35/41/ (85%) 24/264 (9%) 17/24/(68%) M3: orientation same different 264/408 (65%)

Synchrony vs. firing rate

Correction for spike counts Oram, Wiener, Lestienne, Richmond, J. Neurophysiol. 1999. Also Brody, ibid. 1998.

Shiftpredictor Correction vs. Count Correction Count correction reduces total number of sync. pairs Percentages of pairs 80 75 70 65 60 55 50 45 40 35 30 25 20 15 10 5 0 Essentially Shift Predictor Count Corrected no change in number of sync. pairs modulated by attention Therefore: relative proportion of modulated pairs increases (to 34%) Synchrony Modul. Sync. Inc. Sync. Fraction of pairs with increased synchrony nearly unchanged

Control for Movement Effects Observation: increased firing at time of response (mainly M2) Remedy: remove 100ms after response

Pairs with synchrony Monkey Synchronous Change with Increase with pairs attention attention 8/50 (16%) M: constant target letter 50/95 (53%) M2: varying target letter 113/145 (78%) 41/116 (35%) M3: orientation same different 264/408 (65%) 24/264 (9%) 7/8 (87%) 35/41/ (85%) 17/24/(68%)

Pairs with synchrony Monkey Synchronous Change with Increase with pairs attention attention 8/50 (16%) 7/8 (87%) M: constant target letter 50/95 (53%) M2: varying target letter 113/145 (78%) 41/116 (35%) 35/41/ (85%) Deletion around response 40/145 (28%) 23/29 (79%) M3: orientation same different 264/408 (65%) 29/40 (73%) 24/264 (9%) 17/24/(68%)

Pairs with synchrony Monkey Synchronous Change with Increase with pairs attention attention 8/50 (16%) 7/8 (87%) M: constant target letter 50/95 (53%) M2: varying target letter 113/145 (78%) 41/116 (35%) 35/41/ (85%) Deletion around response 40/145 (28%) 29/40 (73%) 23/29 (79%) True Negatives 49/145 (31%) 27/45 (60%) 16/27 (60%) M3: orientation same different 264/408 (65%) 24/264 (9%) 17/24/(68%)

Overall Changes in Synchrony

Summary of monkey data Synchrony present in 66% of neuron pairs in SII (37% with count correction) Synchrony changes with attentional state in 17% of those pairs (34% with count correction) Synchrony increases with attention in most pairs (80% with shift predictor, 74% with count correction) Evidence for mixed rate/temporal code, in agreement with model predictions

The Other Primate Instruction 800 ms, 200 Hz A* Tones Attend to Tones A* T T Vibrations (on hand) A Tones Attend to Vibrations Vibrations (on hand) A T* T*

Basic experimental parameters Three patients with intractable epilepsy Record electrocorticogram; grids of (~80) subdural electrodes Switch attention between tactile and auditory stimuli Matching Pursuit analysis for non stationary responses

Experimental Protocol (attention to AUD analogous)

Examples from 3 subjects

Examples from 3 subjects Findings: stimulus related response independent of attentional state attentional response at time of expected relevant stimulus (400ms)

Results: Auditory cortex 0 A* A* vs A Ray et al, 2008 A 0.4 s 0.8 s

Results: Auditory cortex 0 A* A* vs A A 0.4 s 0.8 s

Results: Somatosensory cortex 0 T T* vs T T* 0.4 s 0.8 s

Frequency range Aud Att Tac Att Tac Att Stimulus related response: Broadband (gamma) range (>40Hz) Attention related response (difference between attended and unattended; *, p=0.05): High gamma range (60 150Hz)

Attention dependent differences appear at time of expected relevant stimulus Attention (aud) Attention (aud) Attention (tac) Attention (tac)

Frontal cortex

More frontal results

Conclusions Activity in high gamma range (80 150Hz) is strongly correlated with selective attention Over sensory and frontal cortex Speculation: due to underlying synchronous activity Consistent with temporal tagging models