Jude F. Mitchell, Kristy A. Sundberg, John H. Reynolds  Neuron 

Slides:



Advertisements
Similar presentations
Volume 60, Issue 4, Pages (November 2008)
Advertisements

Interacting Roles of Attention and Visual Salience in V4
One-Dimensional Dynamics of Attention and Decision Making in LIP
Single-Neuron Correlates of Atypical Face Processing in Autism
Neuronal Correlates of Metacognition in Primate Frontal Cortex
A Source for Feature-Based Attention in the Prefrontal Cortex
Volume 82, Issue 1, Pages (April 2014)
Luc Estebanez, Diana Hoffmann, Birgit C. Voigt, James F.A. Poulet 
Braden A. Purcell, Roozbeh Kiani  Neuron 
Volume 87, Issue 1, Pages (July 2015)
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)
Hannah M. Bayer, Paul W. Glimcher  Neuron 
Volume 85, Issue 1, Pages (January 2015)
CA3 Retrieves Coherent Representations from Degraded Input: Direct Evidence for CA3 Pattern Completion and Dentate Gyrus Pattern Separation  Joshua P.
A Switching Observer for Human Perceptual Estimation
Volume 18, Issue 4, Pages (January 2017)
Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1  Yuzhi Chen, Eyal Seidemann  Neuron  Volume.
Responses of Collicular Fixation Neurons to Gaze Shift Perturbations in Head- Unrestrained Monkey Reveal Gaze Feedback Control  Woo Young Choi, Daniel.
Volume 49, Issue 3, Pages (February 2006)
Cortical Mechanisms of Smooth Eye Movements Revealed by Dynamic Covariations of Neural and Behavioral Responses  David Schoppik, Katherine I. Nagel, Stephen.
Volume 66, Issue 4, Pages (May 2010)
Gamma and the Coordination of Spiking Activity in Early Visual Cortex
Volume 71, Issue 4, Pages (August 2011)
Volume 95, Issue 1, Pages e3 (July 2017)
Volume 75, Issue 1, Pages (July 2012)
Dynamic Coding for Cognitive Control in Prefrontal Cortex
Huihui Zhou, Robert Desimone  Neuron 
Sensory Population Decoding for Visually Guided Movements
Single-Unit Responses Selective for Whole Faces in the Human Amygdala
Anubhuti Goel, Dean V. Buonomano  Neuron 
Attention Increases Sensitivity of V4 Neurons
Independent Category and Spatial Encoding in Parietal Cortex
A Switching Observer for Human Perceptual Estimation
Feature-based attention in visual cortex
Eye Movement Preparation Modulates Neuronal Responses in Area V4 When Dissociated from Attentional Demands  Nicholas A. Steinmetz, Tirin Moore  Neuron 
Ethan S. Bromberg-Martin, Masayuki Matsumoto, Okihide Hikosaka  Neuron 
Volume 80, Issue 4, Pages (November 2013)
Sharon C. Furtak, Omar J. Ahmed, Rebecca D. Burwell  Neuron 
Volume 89, Issue 6, Pages (March 2016)
Effects of Long-Term Visual Experience on Responses of Distinct Classes of Single Units in Inferior Temporal Cortex  Luke Woloszyn, David L. Sheinberg 
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 
Value-Based Modulations in Human Visual Cortex
Timescales of Inference in Visual Adaptation
Stephen V. David, Benjamin Y. Hayden, James A. Mazer, Jack L. Gallant 
The Normalization Model of Attention
Volume 72, Issue 6, Pages (December 2011)
Peter H. Rudebeck, Andrew R. Mitz, Ravi V. Chacko, Elisabeth A. Murray 
Sara E. Morrison, Alexandre Saez, Brian Lau, C. Daniel Salzman  Neuron 
Luc Estebanez, Diana Hoffmann, Birgit C. Voigt, James F.A. Poulet 
Volume 91, Issue 3, Pages (August 2016)
Jude F. Mitchell, Kristy A. Sundberg, John H. Reynolds  Neuron 
Masayuki Matsumoto, Masahiko Takada  Neuron 
John T. Serences, Geoffrey M. Boynton  Neuron 
Farran Briggs, W. Martin Usrey  Neuron 
Biased Associative Representations in Parietal Cortex
Kristy A. Sundberg, Jude F. Mitchell, John H. Reynolds  Neuron 
Volume 78, Issue 4, Pages (May 2013)
Tuned Normalization Explains the Size of Attention Modulations
The Postsaccadic Unreliability of Gain Fields Renders It Unlikely that the Motor System Can Use Them to Calculate Target Position in Space  Benjamin Y.
Christoph Kayser, Nikos K. Logothetis, Stefano Panzeri  Current Biology 
Anubhuti Goel, Dean V. Buonomano  Neuron 
Volume 99, Issue 1, Pages e4 (July 2018)
Volume 66, Issue 4, Pages (May 2010)
Taosheng Liu, Franco Pestilli, Marisa Carrasco  Neuron 
Steven C. Leiser, Karen A. Moxon  Neuron 
Volume 61, Issue 6, Pages (March 2009)
Jacqueline R. Hembrook-Short, Vanessa L. Mock, Farran Briggs 
Presentation transcript:

Differential Attention-Dependent Response Modulation across Cell Classes in Macaque Visual Area V4  Jude F. Mitchell, Kristy A. Sundberg, John H. Reynolds  Neuron  Volume 55, Issue 1, Pages 131-141 (July 2007) DOI: 10.1016/j.neuron.2007.06.018 Copyright © 2007 Elsevier Inc. Terms and Conditions

Figure 1 Classification of Broad- and Narrow-Spiking Neurons by Waveform Shape (A) The mean waveforms (±1 standard deviation) of two neurons recorded from the same electrode. Waveform duration was defined as the time, in μs, from waveform trough to peak. (B) Average waveforms of each of the 218 neurons in the total sample. Narrow and broad waveforms of visually responsive neurons are indicated in red and blue. Waveforms of non-visually responsive neurons are in gray. Nine waveforms that did not have a biphasic shape with a trough followed by a clearly defined peak were excluded from analysis. (C) The distribution of waveform durations was significantly bimodal (Hartigan's dip test, p = 0.0030). Neuron 2007 55, 131-141DOI: (10.1016/j.neuron.2007.06.018) Copyright © 2007 Elsevier Inc. Terms and Conditions

Figure 2 Comparison of Attention-Dependent Modulation of Rate and Fano Factor in Broad- and Narrow-Spiking Neurons (A) Behavioral task. Each trial began with fixation of a central point. While fixation was maintained, two of four Gabor stimuli were cued with a brief luminance increase. All four stimuli then moved along independent randomized trajectories that brought one stimulus into the RF. All stimuli then paused for 1000 ms. Stimulus locations were then shuffled a second time and motion terminated. The fixation point then disappeared. Reward was delivered if a saccade was made to each target and no distracters. (B and C) Average firing rate of broad-spiking (blue) and narrow-spiking (red) neurons for attended (dark red, dark blue) and unattended (light red, light blue) conditions (±1 SEM indicated by dashed lines). (D) Distribution of firing rate attention indices for both classes. Individual units showing significant modulation are indicated in black. (E and F) Average Fano factors of broad-spiking (blue) and narrow-spiking (red) neurons for attended (dark red, dark blue) and unattended (light red, light blue) stimuli (±1 SEM indicated by dashed lines). (G) Distributions of Fano factor attention indices, for both classes. Neuron 2007 55, 131-141DOI: (10.1016/j.neuron.2007.06.018) Copyright © 2007 Elsevier Inc. Terms and Conditions

Figure 3 Comparison of Attention-Dependent Modulation of Spiking Variability at Different Firing Rates for Broad- and Narrow-Spiking Neurons (A) Spike count variance versus spike count mean for a pure Poisson process (dashed line) and for a model neuron that includes a relative refractory period and saturates in variance at higher rates. An identical percentage increase in rate results in a larger reduction in Fano factor at higher firing rates (2% reduction at low rates, light and dark blue points; 14% reduction at high rates, light and dark red points). (B) Measured mean spike count variance (±2 SEM) for broad-spiking neurons, sorted according to mean spike count (rate intervals marked by gray vertical lines). Measures of spike count mean and variance are derived from the ten 100 ms bins during the pause period and averaged across all 109 broad-spiking neurons for attended (black) and unattended (blue) trials. (C) Same conventions as in (B), but averaged across 43 narrow-spiking neurons for attended (black) and unattended (red) trials. Asterisks indicate a significant reduction in variability within a bin (Mann-Whitney U test, p < 0.05). Neuron 2007 55, 131-141DOI: (10.1016/j.neuron.2007.06.018) Copyright © 2007 Elsevier Inc. Terms and Conditions