Eye Movement Preparation Modulates Neuronal Responses in Area V4 When Dissociated from Attentional Demands  Nicholas A. Steinmetz, Tirin Moore  Neuron 

Slides:



Advertisements
Similar presentations
Soyoun Kim, Jaewon Hwang, Daeyeol Lee  Neuron 
Advertisements

A Sensorimotor Role for Traveling Waves in Primate Visual Cortex
Volume 60, Issue 4, Pages (November 2008)
Heather L. Dean, Maureen A. Hagan, Bijan Pesaran  Neuron 
Neuronal Correlates of Metacognition in Primate Frontal Cortex
A Source for Feature-Based Attention in the Prefrontal Cortex
René Quilodran, Marie Rothé, Emmanuel Procyk  Neuron 
Volume 51, Issue 6, Pages (September 2006)
Volume 58, Issue 3, Pages (May 2008)
Choosing Goals, Not Rules: Deciding among Rule-Based Action Plans
Jude F. Mitchell, Kristy A. Sundberg, John H. Reynolds  Neuron 
Coding of the Reach Vector in Parietal Area 5d
Heather L. Dean, Maureen A. Hagan, Bijan Pesaran  Neuron 
Injecting Instructions into Premotor Cortex
Volume 87, Issue 1, Pages (July 2015)
A Neural Signature of Divisive Normalization at the Level of Multisensory Integration in Primate Cortex  Tomokazu Ohshiro, Dora E. Angelaki, Gregory C.
Attention-Induced Variance and Noise Correlation Reduction in Macaque V1 Is Mediated by NMDA Receptors  Jose L. Herrero, Marc A. Gieselmann, Mehdi Sanayei,
Volume 97, Issue 4, Pages e6 (February 2018)
Neural Correlates of Knowledge: Stable Representation of Stimulus Associations across Variations in Behavioral Performance  Adam Messinger, Larry R. Squire,
Vincent B. McGinty, Antonio Rangel, William T. Newsome  Neuron 
Volume 85, Issue 1, Pages (January 2015)
A Role for the Superior Colliculus in Decision Criteria
Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1  Yuzhi Chen, Eyal Seidemann  Neuron  Volume.
Gamma and the Coordination of Spiking Activity in Early Visual Cortex
Aurel Wannig, Valia Rodríguez, Winrich A. Freiwald  Neuron 
Volume 95, Issue 1, Pages e3 (July 2017)
Volume 75, Issue 1, Pages (July 2012)
Learning to Link Visual Contours
Dynamic Coding for Cognitive Control in Prefrontal Cortex
Pieter R. Roelfsema, Henk Spekreijse  Neuron 
Huihui Zhou, Robert Desimone  Neuron 
Volume 78, Issue 5, Pages (June 2013)
Attention Governs Action in the Primate Frontal Eye Field
Liu D. Liu, Christopher C. Pack  Neuron 
Attention Increases Sensitivity of V4 Neurons
Volume 28, Issue 15, Pages e5 (August 2018)
Independent Category and Spatial Encoding in Parietal Cortex
Katherine M. Armstrong, Jamie K. Fitzgerald, Tirin Moore  Neuron 
Prefrontal Cortex Activity Related to Abstract Response Strategies
Neural Mechanisms of Speed-Accuracy Tradeoff
Ethan S. Bromberg-Martin, Masayuki Matsumoto, Okihide Hikosaka  Neuron 
Volume 80, Issue 4, Pages (November 2013)
Ryo Sasaki, Takanori Uka  Neuron  Volume 62, Issue 1, Pages (April 2009)
Volume 95, Issue 5, Pages e5 (August 2017)
Volume 89, Issue 6, Pages (March 2016)
Neuronal Response Gain Enhancement prior to Microsaccades
Segregation of Object and Background Motion in Visual Area MT
Serial, Covert Shifts of Attention during Visual Search Are Reflected by the Frontal Eye Fields and Correlated with Population Oscillations  Timothy J.
Volume 54, Issue 2, Pages (April 2007)
Georgia G. Gregoriou, Stephen J. Gotts, Robert Desimone  Neuron 
Guilhem Ibos, David J. Freedman  Neuron 
Xiaomo Chen, Marc Zirnsak, Tirin Moore  Cell Reports 
Direct Two-Dimensional Access to the Spatial Location of Covert Attention in Macaque Prefrontal Cortex  Elaine Astrand, Claire Wardak, Pierre Baraduc,
Stephen V. David, Benjamin Y. Hayden, James A. Mazer, Jack L. Gallant 
Volume 76, Issue 4, Pages (November 2012)
The Normalization Model of Attention
Volume 72, Issue 6, Pages (December 2011)
Sara E. Morrison, Alexandre Saez, Brian Lau, C. Daniel Salzman  Neuron 
Posterior Parietal Cortex Encodes Autonomously Selected Motor Plans
Prefrontal Neurons Coding Suppression of Specific Saccades
Jude F. Mitchell, Kristy A. Sundberg, John H. Reynolds  Neuron 
Masayuki Matsumoto, Masahiko Takada  Neuron 
John T. Serences, Geoffrey M. Boynton  Neuron 
Phase Locking of Single Neuron Activity to Theta Oscillations during Working Memory in Monkey Extrastriate Visual Cortex  Han Lee, Gregory V. Simpson,
Population Responses to Contour Integration: Early Encoding of Discrete Elements and Late Perceptual Grouping  Ariel Gilad, Elhanan Meirovithz, Hamutal.
The Postsaccadic Unreliability of Gain Fields Renders It Unlikely that the Motor System Can Use Them to Calculate Target Position in Space  Benjamin Y.
Volume 99, Issue 1, Pages e4 (July 2018)
Supratim Ray, John H.R. Maunsell  Neuron 
Maxwell H. Turner, Fred Rieke  Neuron 
Jacqueline R. Hembrook-Short, Vanessa L. Mock, Farran Briggs 
Presentation transcript:

Eye Movement Preparation Modulates Neuronal Responses in Area V4 When Dissociated from Attentional Demands  Nicholas A. Steinmetz, Tirin Moore  Neuron  Volume 83, Issue 2, Pages 496-506 (July 2014) DOI: 10.1016/j.neuron.2014.06.014 Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 1 Cued Change-Detection and Antisaccade Task (A) Task design and trial sequence. Monkeys fixated a white dot while four peripheral oriented-grating stimuli were presented. After a variable delay, stimuli disappeared then reappeared, either with or without one of the four stimuli rotating (change trial or catch trial, respectively). Monkeys could earn a reward by making a saccade to the diametrically opposite stimulus from the change on change trials or by maintaining fixation on catch trials. A small, central cue (white line) indicated which stimulus, if any, was most likely to change. Green outlined panels emphasize the change in orientation, or lack of change, across the blank period. Dashed circle indicates area V4 receptive field (RF) locations, and arrow indicates saccade direction; these were not visible to the monkey. All graphical elements are not precisely to scale; in particular, the cue is shown much larger than scale for visibility. (B) Task conditions. On cue-RF trials, the relevant visual stimulus was in the RF of recorded neurons (spotlight) whereas the direction of the potential antisaccade was to the diametrically opposite stimulus (dashed arrow). Conversely, on cue-opposite trials, antisaccades were directed to the RF stimulus, whereas the relevant stimulus was diametrically opposite. On cue-orthogonal trials, neither the relevant stimulus nor the saccade target was in the RF. Neuron 2014 83, 496-506DOI: (10.1016/j.neuron.2014.06.014) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 2 Effects of Cueing on Behavioral Measures (A) Effect of cue validity on performance. The plot compares the rate of correct responses to orientation changes with valid and invalid cues. (B) Effect of cue validity on reaction time. The plot compares the time between the orientation change and the onset of a correctly executed response across conditions. (C) Examples of saccades executed after the onset of the cue but before the blank period. Colored circles represent stimulus positions. Black traces and red dots indicate path of eye position and saccade endpoint, respectively, for all saccades from one behavioral session and one cue direction. (D) Mean proportion of early saccades made to each stimulus, sorted relative to the direction of the cue. Error bars denote SEM; asterisk = p < 0.01. Neuron 2014 83, 496-506DOI: (10.1016/j.neuron.2014.06.014) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 3 Responses of Example Neurons in the Cued Change-Detection and Antisaccade Task (A) Peristimulus time histogram of spiking activity around the time of cue onset for cue-RF (cyan) trials relative to cue-orthogonal (purple) trials. Shaded region indicates ±1 SEM. (B) As in (A) but for cue-opposite (red) trials relative to cue-orthogonal. Neuron 2014 83, 496-506DOI: (10.1016/j.neuron.2014.06.014) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 4 Effects of Cue Direction on Firing Rate (A) Histogram of the effect of cueing the RF stimulus on firing rate across all recordings. The effect is measured as a modulation index: the difference between mean rates in the cue-RF and the cue-orthogonal conditions divided by the sum. Rates were computed on each trial during the period from 500 ms after cue onset until the start of the blank period; p value shown for Wilcoxon signed rank test. The colored part of the histogram corresponds to units (i.e., single neurons or multineuron clusters) for which firing rate modulation was individually significant. Triangles in this and following figures indicate median values. (B) As in (A) but for modulation indices computed between the cue-opposite condition and the cue-orthogonal condition. Neuron 2014 83, 496-506DOI: (10.1016/j.neuron.2014.06.014) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 5 Effects of Cue Direction on Tuning Amplitude (A) Tuning curves for four example V4 neurons. Firing rate during the postcue period is averaged across groups of trials with identical RF stimuli and cue-direction and then plotted against the stimulus orientation for each cue condition. Error bars represent ±1 SEM. Fit lines shown are best-fit von Mises functions. Tuning amplitude modulation indices for cue-RF versus cue-orthogonal (cyan text) and for cue-opposite versus cue-orthogonal (red text) are shown for each neuron. (B) Histogram of the effect of cueing the RF stimulus on tuning amplitude across all tuned units. Other histogram conventions are as in Figure 2. (C) As in (B) but for cue-opposite condition compared to cue-orthogonal condition. Neuron 2014 83, 496-506DOI: (10.1016/j.neuron.2014.06.014) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 6 Effects of Cue Direction on across-Trial Spiking Reliability (A) Histogram of the effect of cueing the RF stimulus on Fano factor (FF) across all units. The effect is measured as a modulation index: the difference between FF in the cue-RF and the cue-orthogonal conditions divided by the sum. Positive modulation indices indicate larger FF in cue-RF than cue-orthogonal condition, corresponding to increased variability, i.e., decreased reliability. (B) As in (A) but for cue-opposite condition compared to cue-orthogonal condition. Neuron 2014 83, 496-506DOI: (10.1016/j.neuron.2014.06.014) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 7 Modulation during Saccade Preparation in Neurons Significantly Modulated during Covert Attention Overlaid histograms of modulation indices during saccade preparation (cue-opposite condition) for neurons significantly enhanced (red) and significantly suppressed (black) during covert attention (cue-RF condition). Neuron 2014 83, 496-506DOI: (10.1016/j.neuron.2014.06.014) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 8 Difference in LFP Power between Cue Conditions across Frequencies Fourier transforms were computed for the final 500 ms of the postcue period for each trial and each channel and then averaged across trials and channels within each cue condition and recording. The mean differences, cue-RF minus cue-orthogonal (cyan) and cue-opposite minus cue-orthogonal (red), across recordings are represented with shaded regions reflecting ±1 SEM. Neuron 2014 83, 496-506DOI: (10.1016/j.neuron.2014.06.014) Copyright © 2014 Elsevier Inc. Terms and Conditions