Signal detection theory. Direct comparison of perception and neural activity. ? Choice probability. Visual stimulus. Behavioral judgement
|
|
|
- Emmeline Craig
- 5 years ago
- Views:
Transcription
1 Signal detection theory yes no Visual stimulus Neurometric function Psychometric function Neuronal response? Choice probability Behavioral judgement Direct comparison oerception and neural activity Record neuron that prefers downward motion while monkeys make up/down motion judgments for stimuli that are barely discriminable. Newsome, Movshon, Britten, Shadlen, Salzman
2 Visual area MT Record 7a LIP, VIP V1 DP M V4 T MST FEF Visual input V 2 VP VOT FST PITd S TP PITv CITd CITv AITd AITv Visual area MT MST MT V3a V3 V2 V1 Electrophysiology (action potential) microelectrode amplifier Voltage (mv) Time (msec) Cortical pyramidal cell (Golgi stain)
3 MT neurons are direction-selective MT neurons are direction-selective Maunsell and Van Essen, 1983 Behavioral protocol Dots Aperture Receptive field Pref target Null target 10 deg Fixation Point Fix Pt Dots Targets 1 sec
4 Stimulus manipulation: motion coherence 0% coherence 50% coherence 100% coherence Psychometric function Britten, Shadlen, Newsome & Movshon, 1992 Motion coherence and MT neurons Motion stimulus no coherence 50% coherence 100% coherence Responses of MT neurons Preferred direction
5 Motion coherence and MT neurons Neural responses are noisy Each tick is an action potential Each line corresponds to a stimulus presentation Average across all trials Firing rate (sp/sec) Trial number Time (msec) Perceptual decision Decision rule: choose pref iref response > non-pref response. Probability r Neuronal response : response PDF for pref direction : response PDF for non-pref direction
6 Perceptual decision Probability r p : response to pref direction r n : response to non-pref direction : response PDF for pref direction : response PDF for non-pref direction F n : response CDF for non-pref direction 0 r r Neuronal response P(correct) = P(r p > r n ) = r ( r )d r 0 dr ( r )d r = F n P(correct) = F n dr 0 0 Neurometric function Response distributions P(correct) = r [r]f n [r] Neurometric function 6.4% Response (spikes/trial) I 1 1 I I,'"I 1.o Correlation (%) llustrates frequency histograms of responses obtained from a single Britten, Shadlen, Newsome & Movshon, 1992 Neurometric vs. psychometric functions psychometric neurometric Neuronal threshold (%) Correlation (%) Figure 6. Psychometric and neurometric functions obtained in six Britten, Shadlen, Newsome & Movshon, 1992
7 Visual stimulus Neurometric function Psychometric function Neuronal response? Choice probability Behavioral judgement Predicting the monkey s decisions Neurometric & psychometric functions: accuracy vs motion coherence Response distributions for pref and non-pref decisions at a fixed motion coherence % motion coherence Proportion correct Neuron Behavior Response (impulses/sec) Correct pref decisions trials Error non-pref trials decisions Motion strength (% coherence) Trial number Shadlen, Britten, Newsome & Movshon, 1996 Predicting the monkey s decisions Choice probability: accuracy with which one could predict monkey s decision from the response of the neuron given that you know the distributions. f N f P Probability Neuronal response f P : response PDF when monkey reports pref direction f N : response PDF when monkey reports non-pref direction
8 Choice probability Example neuron Across all neurons recorded Britten, Newsome, Shadlen, Celebrini & Movshon, 1996 Computational model Pooled "up" signal MT neuron pool + Σ Pooling noise Decision + Pooling noise Pooled "down" signal Noise is partially correlated across neurons. Responses are pooled non-optimally over large populations of neurons including those that are not the most selective. Additional noise is added after pooling. Shadlen, Britten, Newsome & Movshon, 1996 Damage to MT affects performance Newsome and Paré, 1988
9 Microstimulation in MT changes motion perception Salzman, Britten, Newsome, 1990
Three methods for measuring perception. Magnitude estimation. Steven s power law. P = k S n
Three methods for measuring perception 1. Magnitude estimation 2. Matching 3. Detection/discrimination Magnitude estimation Have subject rate (e.g., 1-10) some aspect of a stimulus (e.g., how bright it
Neurons and Perception March 17, 2009
Neurons and Perception March 17, 2009 John Maunsell Maier, A., WIlke, M., Aura, C., Zhu, C., Ye, F.Q., Leopold, D.A. (2008) Divergence of fmri and neural signals in V1 during perceptual suppression in
Neural response time integration subserves. perceptual decisions - K-F Wong and X-J Wang s. reduced model
Neural response time integration subserves perceptual decisions - K-F Wong and X-J Wang s reduced model Chris Ayers and Narayanan Krishnamurthy December 15, 2008 Abstract A neural network describing the
A Role for Neural Integrators in Perceptual Decision Making
A Role for Neural Integrators in Perceptual Decision Making Mark E. Mazurek, Jamie D. Roitman, Jochen Ditterich and Michael N. Shadlen Howard Hughes Medical Institute, Department of Physiology and Biophysics,
Visual area MT responds to local motion. Visual area MST responds to optic flow. Visual area STS responds to biological motion.
Visual area responds to local motion MST V3a V3 Visual area MST responds to optic flow MST V3a V3 Visual area STS responds to biological motion STS Macaque visual areas Flattening the brain What is a visual
Three methods for measuring perception. Magnitude estimation. Steven s power law. Matching. P = k S n. Detection/discrimination
Three methods for measuring perception. Magnitude estimation 2. Matching 3. Detection/discrimination Magnitude estimation Have subject rate (e.g., -) some aspect of a stimulus (e.g., how bright it appears
Correlation between Speed Perception and Neural Activity in the Middle Temporal Visual Area
The Journal of Neuroscience, January 19, 2005 25(3):711 722 711 Behavioral/Systems/Cognitive Correlation between Speed Perception and Neural Activity in the Middle Temporal Visual Area Jing Liu and William
Microstimulation in Visual Area MT: Effects of Varying Pulse Amplitude and Frequency
The Journal of Neuroscience, April 1993, M(4): 1719-1729 Microstimulation in Visual Area MT: Effects of Varying Pulse Amplitude and Frequency Chieko M Murasugi, C Daniel Salzman, and William T Newsome
Report. A Causal Role for V5/MT Neurons Coding Motion-Disparity Conjunctions in Resolving Perceptual Ambiguity
Current Biology 23, 1454 1459, August 5, 2013 ª2013 The Authors. Open access under CC BY license. http://dx.doi.org/10.1016/j.cub.2013.06.023 A Causal Role for V5/MT Neurons Coding Motion-Disparity Conjunctions
Context-Dependent Changes in Functional Circuitry in Visual Area MT
Article Context-Dependent Changes in Functional Circuitry in Visual Area MT Marlene R. Cohen 1, * and William T. Newsome 1 1 Howard Hughes Medical Institute and Department of Neurobiology, Stanford University
Introduction to Computational Neuroscience
Introduction to Computational Neuroscience Lecture 11: Attention & Decision making Lesson Title 1 Introduction 2 Structure and Function of the NS 3 Windows to the Brain 4 Data analysis 5 Data analysis
Overview of the visual cortex. Ventral pathway. Overview of the visual cortex
Overview of the visual cortex Two streams: Ventral What : V1,V2, V4, IT, form recognition and object representation Dorsal Where : V1,V2, MT, MST, LIP, VIP, 7a: motion, location, control of eyes and arms
Perceptual Read-Out of Conjoined Direction and Disparity Maps in Extrastriate Area MT
Perceptual Read-Out of Conjoined Direction and Disparity Maps in Extrastriate Area MT Gregory C. DeAngelis 1*, William T. Newsome 2 PLoS BIOLOGY 1 Department of Anatomy and Neurobiology, Washington University
Attention Response Functions: Characterizing Brain Areas Using fmri Activation during Parametric Variations of Attentional Load
Attention Response Functions: Characterizing Brain Areas Using fmri Activation during Parametric Variations of Attentional Load Intro Examine attention response functions Compare an attention-demanding
Probing Sensory Readout via Combined Choice- Correlation Measures and Microstimulation Perturbation
Article Probing Sensory Readout via Combined Choice- Correlation Measures and Microstimulation Perturbation Highlights d Sensory-choice congruent and opposite cells in the MST and MT contribute to motion
Choosing the Greater of Two Goods: Neural Currencies for Valuation and Decision Making
Choosing the Greater of Two Goods: Neural Currencies for Valuation and Decision Making Leo P. Surgre, Gres S. Corrado and William T. Newsome Presenter: He Crane Huang 04/20/2010 Outline Studies on neural
20: c 2009 Wolters Kluwer Health Lippincott Williams & Wilkins. NeuroReport 2009, 20:
Vision, central 1619 Comparing neuronal and behavioral thresholds for spiral motion discrimination Antonio J. Rodríguez-Sanchez a, John K. Tsotsos a, Stefan Treue c,d and Julio C. Martinez-Trujillo b As
33 Roles of Visual Area MT in Depth Perception
33 Roles of Visual Area MT in Depth Perception gregory c. deangelis abstract One of the most impressive capacities of the visual system is the ability to infer the three-dimensional structure of the environment
Consciousness The final frontier!
Consciousness The final frontier! How to Define it??? awareness perception - automatic and controlled memory - implicit and explicit ability to tell us about experiencing it attention. And the bottleneck
Single cell tuning curves vs population response. Encoding: Summary. Overview of the visual cortex. Overview of the visual cortex
Encoding: Summary Spikes are the important signals in the brain. What is still debated is the code: number of spikes, exact spike timing, temporal relationship between neurons activities? Single cell tuning
Models of Attention. Models of Attention
Models of Models of predictive: can we predict eye movements (bottom up attention)? [L. Itti and coll] pop out and saliency? [Z. Li] Readings: Maunsell & Cook, the role of attention in visual processing,
Perceptual Decisions between Multiple Directions of Visual Motion
The Journal of Neuroscience, April 3, 8 8(7):4435 4445 4435 Behavioral/Systems/Cognitive Perceptual Decisions between Multiple Directions of Visual Motion Mamiko Niwa and Jochen Ditterich, Center for Neuroscience
A Computational Analysis of the Relationship between Neuronal and Behavioral Responses to Visual Motion
The Journal of Neuroscience, February 15, 1996, 76(4):1486-l 510 A Computational Analysis of the Relationship between Neuronal and Behavioral Responses to Visual Motion Michael N. Shadlen, Kenneth H. Britten,
The perception of motion transparency: A signal-to-noise limit
Vision Research 45 (2005) 1877 1884 www.elsevier.com/locate/visres The perception of motion transparency: A signal-to-noise limit Mark Edwards *, John A. Greenwood School of Psychology, Australian National
The Contribution of Area MT to Visual Motion Perception Depends on Training
Article The Contribution of Area MT to Visual Motion Perception Depends on Training Highlights d Little effect of MT inactivation on motion percepts of subjects trained on gratings d d d After training
Joint tuning for direction of motion and binocular disparity in macaque MT is largely separable
J Neurophysiol 11: 286 2816, 213. First published October 2, 213; doi:1.1152/jn.573.213. Joint tuning for direction of motion and binocular disparity in macaque MT is largely separable Alexandra Smolyanskaya,*
Time [ms]
![Time [ms]](/thumbs/95/126316840.jpg "Time [ms]")
Magazine R1051 Brief motion stimuli preferentially activate surroundsuppressed neurons in macaque visual area MT Jan Churan, Farhan A. Khawaja, James M.G. Tsui and Christopher C. Pack Intuitively one might
Sensory Physiology Bi353 Fall Term 2016
Lectures 2-3p MWF 111 Lillis (CRN 11012) Lab/Discussion Section 1 (CRN 11013) Friday 10-110:50a Hue 129 Lab/Discussion Section 2 (CRN 11014) Friday 11a-11:50a Hue 129 Lab/Discussion Section 3 (CRN 16400)
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.
The Representation of Behavioral Choice for Motion in Human Visual Cortex
The Journal of Neuroscience, November 21, 2007 27(47):12893 12899 12893 Behavioral/Systems/Cognitive The Representation of Behavioral Choice for Motion in Human Visual Cortex John T. Serences 1 and Geoffrey
NIH Public Access Author Manuscript Neural Netw. Author manuscript; available in PMC 2007 November 1.
NIH Public Access Author Manuscript Published in final edited form as: Neural Netw. 2006 November ; 19(9): 1447 1449. Models of human visual attention should consider trial-by-trial variability in preparatory
A model of encoding and decoding in V1 and MT accounts for motion perception anisotropies in the human visual system
B R A I N R E S E A R C H 1 2 9 9 ( 2 0 0 9 ) 3 1 6 a v a i l a b l e a t w w w. s c i e n c e d i r e c t. c o m w w w. e l s e v i e r. c o m / l o c a t e / b r a i n r e s Research Report A model of
University of California- Los Angeles. Affiliations: University of California- Los Angeles
(1) Overview Title A random dot kinematogram for online visual psychophysics Paper Authors 1. Rajananda, Sivananda; 2. Lau, Hakwan; 3. Odegaard, Brian Paper Author Roles and Affiliations 1. Designed software;
Directional Signals in the Prefrontal Cortex and in Area MT during a Working Memory for Visual Motion Task
11726 The Journal of Neuroscience, November 8, 2006 26(45):11726 11742 Behavioral/Systems/Cognitive Directional Signals in the Prefrontal Cortex and in Area MT during a Working Memory for Visual Motion
Inferotemporal Cortex Subserves Three-Dimensional Structure Categorization
Article Inferotemporal Cortex Subserves Three-Dimensional Structure Categorization Bram-Ernst Verhoef, 1 Rufin Vogels, 1 and Peter Janssen 1, * 1 Laboratorium voor Neuro- en Psychofysiologie, Campus Gasthuisberg,
To Accompany: Thalamic Synchrony and the Adaptive Gating of Information Flow to Cortex Wang, Webber, & Stanley
SUPPLEMENTARY MATERIAL To Accompany: Thalamic Synchrony and the Adaptive Gating of Information Flow to Cortex Wang, Webber, & Stanley Supplementary Note 1: Parametric fits of spike count distributions
Mechanisms of Learning a Perceptual Decision. Joshua I. Gold University of Pennsylvania
Mechanisms of Learning a Perceptual Decision Joshua I. Gold University of Pennsylvania Cognitive aspects of decision making Research Workshop Crystal City, VA September 21, 2008 It is a mistake to consider
Microstimulation of macaque area LIP affects decision-making in a motion discrimination task
Microstimulation of macaque area LIP affects decision-making in a motion discrimination task Timothy D Hanks, Jochen Ditterich,2 & Michael N Shadlen A central goal of cognitive neuroscience is to elucidate
Visual Attention and the Role of Normalization
Visual Attention and the Role of Normalization The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters. Citation Accessed Citable Link
Population approach to a neural discrimination task
Biol Cybern (2006) 94: 180 191 DOI 10.1007/s00422-005-0039-3 ORIGINAL PAPER Benoit Gaillard HilaryBuxton JianfengFeng Population approach to a neural discrimination task Received: 24 May 2004 / Accepted:
Choice-related activity and correlated noise in subcortical vestibular neurons
Choice-related activity and correlated noise in subcortical vestibular neurons Sheng Liu,2, Yong Gu, Gregory C DeAngelis 3 & Dora E Angelaki,2 npg 23 Nature America, Inc. All rights reserved. Functional
Dynamics of Cortical Decision. Circuits during Changes in the Fidelity of Sensory Representations.
Dynamics of Cortical Decision Circuits during Changes in the Fidelity of Sensory Representations The Harvard community has made this article openly available. Please share how this access benefits you.
A neural circuit model of decision making!
A neural circuit model of decision making! Xiao-Jing Wang! Department of Neurobiology & Kavli Institute for Neuroscience! Yale University School of Medicine! Three basic questions on decision computations!!
Tuning Bandwidths for Near-Threshold Stimuli in Area MT
Tuning Bandwidths for Near-Threshold Stimuli in Area MT KENNETH H. BRITTEN 1 AND WILLIAM T. NEWSOME 2 1 University of California, Davis Center for Neuroscience and Section of Neurobiology, Physiology and
Accumulation of Evidence in Perceptual Decisions. Mads Lund Pedersen
Accumulation of Evidence in Perceptual Decisions Mads Lund Pedersen Master of Philosophy in Psychology, Cognitive Neuroscience discipline at the Department of Psychology. UNIVERSITY OF OSLO May 2012 Accumulation
Adaptation to Speed in Macaque Middle Temporal and Medial Superior Temporal Areas
The Journal of Neuroscience, March 6, 2013 33(10):4359 4368 4359 Systems/Circuits Adaptation to Speed in Macaque Middle Temporal and Medial Superior Temporal Areas Nicholas S. C. Price 1 and Richard T.
NO EVIDENCE FOR ANIMATE IMPLIED MOTION PROCESSING IN MACAQUE AREAS MT AND MST
CHAPTER 4 NO EVIDENCE FOR ANIMATE IMPLIED MOTION PROCESSING IN MACAQUE AREAS MT AND MST Abstract In this study we investigated animate implied motion processing in macaque motion sensitive cortical neurons.
Flexible interpretation of a decision rule by supplementary eye field neurons
Flexible interpretation of a decision rule by supplementary eye field neurons S. J. Heinen, H. Hwang and S. N. Yang J Neurophysiol 106:2992-3000, 2011. First published 7 September 2011; doi:10.1152/jn.01134.2010
Key questions about attention
Key questions about attention How does attention affect behavioral performance? Can attention affect the appearance of things? How does spatial and feature-based attention affect neuronal responses in
Cortical mechanisms of visual motion integration. János Attila Perge
Cortical mechanisms of visual motion integration János Attila Perge 1 Book design by: János A. Perge Artistic consultant: Robert van Sluis Printed by: Febodruk B.V. Enschede ISBN: 90-393-39686 2 CORTICAL
The Neural Basis of Decision Making
I ANRV314-NE30-21 ARI 19 March 2007 22:1 R E V I E W S E C N A D V A N The Neural Basis of Decision Making Joshua I. Gold 1 and Michael N. Shadlen 2 1 Department of Neuroscience, University of Pennsylvania,
Neural Activity in Macaque Parietal Cortex Reflects Temporal Integration of Visual Motion Signals during Perceptual Decision Making
10420 The Journal of Neuroscience, November 9, 2005 25(45):10420 10436 Behavioral/Systems/Cognitive Neural Activity in Macaque Parietal Cortex Reflects Temporal Integration of Visual Motion Signals during
The neural systems that mediate human perceptual decision making
The neural systems that mediate human perceptual decision making Hauke R. Heekeren*, Sean Marrett and Leslie G. Ungerleider Abstract Perceptual decision making is the act of choosing one option or course
The Computing Brain: Decision-Making as a Case Study
The Computing Brain: Decision-Making as a Case Study Prof. Angela Yu Department of Cognitive Science ajyu@ucsd.edu August 9, 2012 Understanding the Brain/Mind Behavior Neurobiology? Cognitive Neuroscience
Classical Psychophysical Methods (cont.)
Classical Psychophysical Methods (cont.) 1 Outline Method of Adjustment Method of Limits Method of Constant Stimuli Probit Analysis 2 Method of Constant Stimuli A set of equally spaced levels of the stimulus
Report. Dissociation of Neuronal and Psychophysical Responses to Local and Global Motion
Current iology 2, 223 228, December 6, 2 ª2 Elsevier Ltd ll rights reserved DOI.6/j.cub.2..49 Dissociation of Neuronal and Psychophysical Responses to Local and Global Motion Report James H. Hedges, Yevgeniya
To compliment the population decoding approach (Figs. 4, 6, main text), we also tested the
Supplementary Material, Page 1 of 18 Single-cell neurometric (ROC) analysis To compliment the population decoding approach (Figs. 4, 6, main text), we also tested the ability of individual MSTd neurons
Retinotopy and Functional Subdivision of Human Areas MT and MST
The Journal of Neuroscience, August 15, 2002, 22(16):7195 7205 Retinotopy and Functional Subdivision of Human Areas MT and MST Alexander C. Huk, Robert F. Dougherty, and David J. Heeger Department of Psychology,
Supplemental Material
Supplemental Material Recording technique Multi-unit activity (MUA) was recorded from electrodes that were chronically implanted (Teflon-coated platinum-iridium wires) in the primary visual cortex representing
Motion Opponency in Visual Cortex
The Journal of Neuroscience, August 15, 1999, 19(16):7162 7174 Motion Opponency in Visual Cortex David J. Heeger, 1 Geoffrey M. Boynton, 1 Jonathan B. Demb, 1 Eyal Seidemann, 2 and William T. Newsome 2
Parallel processing strategies of the primate visual system
Parallel processing strategies of the primate visual system Jonathan J. Nassi* and Edward M. Callaway Abstract Incoming sensory information is sent to the brain along modality-specific channels corresponding
Neuroscience Tutorial
Neuroscience Tutorial Brain Organization : cortex, basal ganglia, limbic lobe : thalamus, hypothal., pituitary gland : medulla oblongata, midbrain, pons, cerebellum Cortical Organization Cortical Organization
Functional correlates of the physical and perceptual. properties of coherent visual motion in humans
Functional correlates of the physical and perceptual properties of coherent visual motion in humans Dissertation zur Erlangung des Grades eines Doktors der Naturwissenschaften der Fakultät für Biologie
The detection of visual signals by macaque frontal eye field during masking
articles The detection of visual signals by macaque frontal eye field during masking Kirk G. Thompson and Jeffrey D. Schall Vanderbilt Vision Research Center, Department of Psychology, Wilson Hall, Vanderbilt
Effects of Attention on MT and MST Neuronal Activity During Pursuit Initiation
Effects of Attention on MT and MST Neuronal Activity During Pursuit Initiation GREGG H. RECANZONE 1 AND ROBERT H. WURTZ 2 1 Center for Neuroscience and Section of Neurobiology, Physiology and Behavior,
Cone Signal Interactions in Direction-Selective Neurons
Barberini, Cohen, Wandell and Newsome 1 Cone Signal Interactions in Direction-Selective Neurons in Area MT Crista L. Barberini Marlene R. Cohen Brian A. Wandell William T. Newsome Department of Neurobiology,
Neural correlates of multisensory cue integration in macaque MSTd
Neural correlates of multisensory cue integration in macaque MSTd Yong Gu, Dora E Angelaki,3 & Gregory C DeAngelis 3 Human observers combine multiple sensory cues synergistically to achieve greater perceptual
Adaptation to direction statistics modulates perceptual discrimination
Journal of Vision (2012) 12(6):32, 1 17 http://www.journalofvision.org/content/12/6/32 1 Adaptation to direction statistics modulates perceptual discrimination Department of Physiology, Monash University,
Information processing and decision-making: evidence from the brain sciences and implications for Economics
Information processing and decision-making: evidence from the brain sciences and implications for Economics Isabelle Brocas University of Southern California and CEPR March 2012 Abstract This article assesses
Contrast Dependence of Suppressive Influences in Cortical Area
Articles in PresS. J Neurophysiol (October 13, 2004). doi:10.1152/jn.00629.2004 FINAL ACCEPTED VERSION Contrast Dependence of Suppressive Influences in Cortical Area MT of Alert Macaque Authors: Christopher
Lecture overview. What hypothesis to test in the fly? Quantitative data collection Visual physiology conventions ( Methods )
Lecture overview What hypothesis to test in the fly? Quantitative data collection Visual physiology conventions ( Methods ) 1 Lecture overview What hypothesis to test in the fly? Quantitative data collection
Direction-of-motion discrimination is facilitated by visible motion smear
Perception & Psychophysics 7, 69 (), 48-55 Direction-of-motion discrimination is facilitated by visible motion smear JIANLIANG TONG, MURAT AYDIN, AND HAROLD E. BEDELL University of Houston, Houston, Texas
The Precision of Single Neuron Responses in Cortical Area V1 during Stereoscopic Depth Judgments
The Journal of Neuroscience, May 1, 2000, 20(9):3387 3400 The Precision of Single Neuron Responses in Cortical Area V1 during Stereoscopic Depth Judgments Simon J. D. Prince, Andrew D. Pointon, Bruce G.
The role of posterior parietal cortex in multisensory decision-making
The role of posterior parietal cortex in multisensory decision-making David Nunes Raposo Dissertation presented to obtain the Ph.D degree in Biology - Neuroscience Instituto de Tecnologia Química e Biológica
Processing of second-order motion stimuli in primate middle temporal area and medial superior temporal area
J. Churan and U. J. Ilg Vol. 18, No. 9/September 2001/J. Opt. Soc. Am. A 2297 Processing of second-order motion stimuli in primate middle temporal area and medial superior temporal area Jan Churan and
arxiv: v1 [q-bio.nc] 29 Oct 2017
![arxiv: v1 [q-bio.nc] 29 Oct 2017](/thumbs/78/77549503.jpg "arxiv: v1 [q-bio.nc] 29 Oct 2017")
State Dependence of Stimulus-Induced Variability Tuning in Macaque MT Joseph Lombardo,, Matthew Macellaio,, Bing Liu, Stephanie E. Palmer, *, with Leslie C. Osborne, * arxiv:7.8v [q-bio.nc] 9 Oct 7 Computational
Attention alters the appearance of motion coherence
Psychonomic Bulletin & Review 2006, 13 (6), 1091-1096 Attention alters the appearance of motion coherence TAOSHENG LIU, STUART FULLER, and MARISA CARRASCO New York University, New York, New York Selective
Two mechanisms for optic flow and scale change processing of looming
Journal of Vision (2011) 11(3):5, 1 9 http://www.journalofvision.org/content/11/3/5 1 Two mechanisms for optic flow and scale change processing of looming Finnegan J. Calabro Kunjan D. Rana Lucia M. Vaina
Functional dissection of signal and noise in MT and LIP during decision-making
Functional dissection of signal and noise in MT and LIP during decision-making Jacob L Yates 6, Il Memming Park 7, Leor N Katz 3,8, Jonathan W Pillow 9, & Alexander C Huk 3 27 Nature America, Inc., part
Neuroimaging of high-level visual functions. Visual awareness
Neuroimaging of high-level visual functions Visual awareness Phylosphy of mind Art AI Normal and abnormal states Coma Drugs Hypnosis Religion Cosciousness 2 Unconscious processes Normal and abnormal contents
Domain General Mechanisms of Perceptual Decision Making in Human Cortex
The Journal of Neuroscience, July 8, 2009 29(27):8675 8687 8675 Behavioral/Systems/Cognitive Domain General Mechanisms of Perceptual Decision Making in Human Cortex Tiffany C. Ho, 1 Scott Brown, 2 and
Motion streaks improve motion detection
Vision Research 47 (2007) 828 833 www.elsevier.com/locate/visres Motion streaks improve motion detection Mark Edwards, Monique F. Crane School of Psychology, Australian National University, Canberra, ACT
Dissociable Sources of Uncertainty in Perceptual Decision Making. Elizabeth Michael
Dissociable Sources of Uncertainty in Perceptual Decision Making Elizabeth Michael Department of Experimental Psychology & Magdalen College DPhil, Experimental Psychology University of Oxford Hilary Term
Area MT Neurons Respond to Visual Motion Distant From Their Receptive Fields
J Neurophysiol 94: 4156 4167, 2005. First published August 24, 2005; doi:10.1152/jn.00505.2005. Area MT Neurons Respond to Visual Motion Distant From Their Receptive Fields Daniel Zaksas and Tatiana Pasternak
Photoreceptors Rods. Cones
Photoreceptors Rods Cones 120 000 000 Dim light Prefer wavelength of 505 nm Monochromatic Mainly in periphery of the eye 6 000 000 More light Different spectral sensitivities!long-wave receptors (558 nm)
Report. Practicing Coarse Orientation Discrimination Improves Orientation Signals in Macaque Cortical Area V4
Current Biology 21, 1661 1666, October 11, 2011 ª2011 Elsevier Ltd All rights reserved DOI 10.1016/j.cub.2011.08.037 Practicing Coarse Orientation Discrimination Improves Orientation Signals in Macaque
Effects of Network Topology on Decision-Making Behavior in A Biological Network Model
Effects of Network Topology on Decision-Making Behavior in A Biological Network Model Suojun Lu*, Jian an Fang, Qingying Miao College of Information Science & Technology, Donghua University, 2999 North
A Model of Neuronal Responses in Visual Area MT
A Model of Neuronal Responses in Visual Area MT Eero P. Simoncelli a and David J. Heeger b a Center for Neural Science 4 Washington Place, Room 809 New York, NY 10003 b Department of Psychology Stanford
Flexibility of Sensory Representations in Prefrontal Cortex Depends on Cell Type
Article Flexibility of Sensory Representations in Prefrontal Cortex Depends on Cell Type Cory R. Hussar 1,2 and Tatiana Pasternak 1,2, * 1 Department of Neurobiology and Anatomy 2 Center for Visual Science
Seeing faces in the noise: Stochastic activity in perceptual regions of the brain may influence the perception of ambiguous stimuli
R175B BC JP To printer - need negs for pgs, 3,, and Psychonomic Bulletin & Review,?? (?),???-??? Seeing faces in the noise: Stochastic activity in perceptual regions of the brain may influence the perception
EFFECT OF COHERENT MOVING STIMULUS ON THE VISUAL EVOKED POTENTIAL (CMVEP) ABSTRACT
EFFECT OF COHERENT MOVING STIMULUS ON THE VISUAL EVOKED POTENTIAL (CMVEP) NSF Summer Undergraduate Fellowship in Sensor Technologies Adrian Lau (Electrical Engineering) University of Pennsylvania Advisors:
Representation of 3-D surface orientation by velocity and disparity gradient cues in area MT
J Neurophysiol 107: 2109 2122, 2012. First published January 4, 2012; doi:10.1152/jn.00578.2011. Representation of 3-D surface orientation by velocity and disparity gradient cues in area MT Takahisa M.
Learning to See Rotation and Dilation with a Hebb Rule
In: R.P. Lippmann, J. Moody, and D.S. Touretzky, eds. (1991), Advances in Neural Information Processing Systems 3. San Mateo, CA: Morgan Kaufmann Publishers, pp. 320-326. Learning to See Rotation and Dilation
Rules of apparent motion: The shortest-path constraint: objects will take the shortest path between flashed positions.
Rules of apparent motion: The shortest-path constraint: objects will take the shortest path between flashed positions. The box interrupts the apparent motion. The box interrupts the apparent motion.
Millisecond-scale differences in neural activity in auditory cortex can drive decisions
BRIEF COMMUNICATIONS 2008 Nature Publishing Group http://www.nature.com/natureneuroscience Millisecond-scale differences in neural activity in auditory cortex can drive decisions Yang Yang 1,2, Michael
Visual field maps, population receptive field sizes, and. visual field coverage in the human MT+ complex
Articles in PresS. J Neurophysiol (July 8, 2009). doi:10.1152/jn.00102.2009 Visual field maps, population receptive field sizes, and visual field coverage in the human MT+ complex Kaoru Amano (1, 2), Brian
Running head: VARIABILITY IN PERCEPTUAL DECISION MAKING
Manuscript Running head: VARIABILITY IN PERCEPTUAL DECISION MAKING Internal and External Sources of Variability in Perceptual Decision-Making Roger Ratcliff 1 *, Chelsea Voskuilen 1, and Gail McKoon 1
Reading Assignments: Lecture 5: Introduction to Vision. None. Brain Theory and Artificial Intelligence
Brain Theory and Artificial Intelligence Lecture 5:. Reading Assignments: None 1 Projection 2 Projection 3 Convention: Visual Angle Rather than reporting two numbers (size of object and distance to observer),
Vision Research 50 (2010) Contents lists available at ScienceDirect. Vision Research. journal homepage:
Vision Research 5 (2) 44 45 Contents lists available at ScienceDirect Vision Research journal homepage: www.elsevier.com/locate/visres Attention directed by expectations enhances receptive fields in cortical