M. A. Smith

发表

Stimulus onset quenches neural variability: a widespread cortical phenomenon

Andrew M. Clark, Byron M. Yu, Nicholas J. Priebe, 2010, Nature Neuroscience.

Correlations and brain states: from electrophysiology to functional imaging

M. A. Smith, A. Kohn, A. Zandvakili, 2009, Current Opinion in Neurobiology.

Dynamics of motion signaling by neurons in macaque area MT

J. Movshon, M. A. Smith, N. Majaj, 2005, Nature Neuroscience.

Signals in Macaque Striate Cortical Neurons that Support the Perception of Glass Patterns

Anthony J. Movshon, J. Movshon, W. Bair, 2002, The Journal of Neuroscience.

Glass pattern responses in macaque V2 neurons.

J. Movshon, M. A. Smith, A. Kohn, 2007, Journal of vision.

The Timing of Response Onset and Offset in Macaque Visual Neurons

J. Movshon, W. Bair, J. Cavanaugh, 2002, The Journal of Neuroscience.

Fast and Improved SLEX Analysis of High-Dimensional Time Series

Sanjeev Khanna, Geoffrey J. Gordon, Robert E. Kass, 2014, MLINI@NIPS.

Spatial and Temporal Scales of Neuronal Correlation in Primary Visual Cortex

M. A. Smith, A. Kohn, 2008, The Journal of Neuroscience.

Stimulus Dependence of Neuronal Correlation in Primary Visual Cortex of the Macaque

M. A. Smith, A. Kohn, 2005, The Journal of Neuroscience.

The Role of Correlations in Direction and Contrast Coding in the Primary Visual Cortex

M. A. Smith, A. Kohn, S. Schultz, 2007, The Journal of Neuroscience.

Distinct Sources of Variability Affect Eye Movement Preparation

Adam C. Snyder, Sanjeev B. Khanna, Matthew A. Smith, 2019, The Journal of Neuroscience.

Stimulus-dependent Spiking Relationships with the Eeg. University of Pittsburgh Eye and Ear Institute Abbreviated Title: Spike-eeg Relationships

M. A. Smith, A. Snyder, 2015 .

Stimulus-dependent spiking relationships with the EEG.

M. A. Smith, A. Snyder, 2015, Journal of neurophysiology.

Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex

Byron M. Yu, Benjamin R. Cowley, M. A. Smith, 2020, Neuron.

Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex

Byron M. Yu, Benjamin R. Cowley, M. A. Smith, 2020, Neuron.

Cortical responses to visual motion in alert and anesthetized monkeys

J. Anthony Movshon, Thomas D. Albright, Najib J. Majaj, 2003, Nature Neuroscience.

Dynamics of Suppression in Macaque Primary Visual Cortex

J. Movshon, W. Bair, M. A. Smith, 2006, The Journal of Neuroscience.

Stimulus Selectivity and Spatial Coherence of Gamma Components of the Local Field Potential

M. A. Smith, A. Kohn, Xiaoxuan Jia, 2011, The Journal of Neuroscience.

The spatial structure of correlated neuronal variability

M. A. Smith, A. Kohn, B. Doiron, 2016, Nature Neuroscience.

Global network influences on local functional connectivity

Michael J. Morais, M. A. Smith, A. Snyder, 2015, Nature Neuroscience.

Correlations in V1 Are Reduced by Stimulation Outside the Receptive Field

Adam Kohn, Michael J. Morais, M. A. Smith, 2014, The Journal of Neuroscience.

Chapter 3 Dynamics of Pattern Motion Computation

J. Movshon, M. A. Smith, N. Majaj, 2009 .

and Adam Kohn cortex Laminar dependence of neuronal correlations in visual

M. A. Smith, A. Kohn, A. Zandvakili, 2013 .

Laminar dependence of neuronal correlations in visual cortex.

Adam Kohn, Amin Zandvakili, Xiaoxuan Jia, 2013, Journal of neurophysiology.

Dynamic shifts of visual and saccadic signals in prefrontal cortical regions 8Ar and FEF.

Sanjeev B. Khanna, M. A. Smith, Jonathan A Scott, 2020, Journal of neurophysiology.

Context cue-dependent saccadic adaptation in rhesus macaques cannot be elicited using color.

Sanjeev B. Khanna, N. J. Gandhi, M. A. Smith, 2015, Journal of neurophysiology.

Bridging neuronal correlations and dimensionality reduction

Byron M. Yu, Benjamin R. Cowley, M. A. Smith, 2020, Neuron.

Distinct population codes for attention in the absence and presence of visual stimulation

Byron M. Yu, Byron M Yu, M. A. Smith, 2018, Nature Communications.

What does scalp electroencephalogram coherence tell us about long‐range cortical networks?

Deepa Issar, M. A. Smith, A. Snyder, 2018, The European journal of neuroscience.

Surround Suppression in the Early Visual System

M. A. Smith, Matthew A Smith, 2006, The Journal of Neuroscience.

The eyes reflect an internal cognitive state hidden in the population activity of cortical neurons

Sanjeev B. Khanna, M. A. Smith, A. Snyder, 2020, bioRxiv.

Altered functional interactions between neurons in primary visual cortex of macaque monkeys with experimental amblyopia

J. Movshon, M. A. Smith, L. Kiorpes, 2019, bioRxiv.

Altered functional interactions between neurons in primary visual cortex of macaque monkeys with experimental amblyopia

J. Movshon, M. A. Smith, L. Kiorpes, 2019, bioRxiv.

MAPPING AND MODELING EEG SIGNALS BEFORE AND AFTER A CRANIOTOMY PROCEDURE

M. A. Smith, A. Snyder, D. Issar, 2017 .

Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models

Brent Doiron, Byron M. Yu, Adam Kohn, 2016, PLoS Comput. Biol..

Comparison of Recordings from Microelectrode Arrays and Single Electrodes in the Visual Cortex

J. Anthony Movshon, Adam Kohn, Matthew A. Smith, 2007, The Journal of Neuroscience.

Dynamics of visual receptive fields in the macaque frontal eye field.

Marc A Sommer, J Patrick Mayo, M. Sommer, 2015, Journal of neurophysiology.

False Discovery Rate Regression: An Application to Neural Synchrony Detection in Primary Visual Cortex

James G. Scott, Robert E Kass, Pengcheng Zhou, 2013, Journal of the American Statistical Association.

Adaptive stimulus selection for optimizing neural population responses

Byron M. Yu, Matthew A. Smith, Benjamin R. Cowley, 2017, NIPS.

Dynamic shifts of visual and saccadic signals in prefrontal cortical regions 8Ar and FEF

Matthew A. Smith, Sanjeev B. Khanna, Jonathan Scott, 2019, bioRxiv.

ADJUSTED REGULARIZATION IN LATENT GRAPHICAL MODELS: APPLICATION TO MULTIPLE-NEURON SPIKE COUNT DATA.

Robert E. Kass, Valérie Ventura, Giuseppe Vinci, 2018, The annals of applied statistics.

Dynamics of Pattern Motion Computation

J. Anthony Movshon, Najib J. Majaj, Matthew A. Smith, 2009 .

Dynamics of response to perceptual pop-out stimuli in macaque V1.

Ryan C Kelly, Ryan C. Kelly, Tai Sing Lee, 2007, Journal of neurophysiology.

Deciphering the Neuronal Population Code

Matthew A. Smith, Sanjeev B. Khanna, M. A. Smith, 2020 .

Comprehensive chronic laminar single-unit, multi-unit, and local field potential recording performance with planar single shank electrode arrays

Zhanhong Du, Matthew A. Smith, X. Tracy Cui, 2015, Journal of Neuroscience Methods.

LATENT CROSS-POPULATION DYNAMIC TIME-SERIES ANALYSIS OF HIGH-DIMENSIONAL NEURAL RECORDINGS BY HEEJONG BONG

Eric A. Yttri, Department of Electrical Engineering, Heejong Bong, 2021 .

Cross-Population Amplitude Coupling in High-Dimensional Oscillatory Neural Time Series

Robert E. Kass Department of Statistics, Machine Learning Department, V. Ventura, 2021, 2105.03508.

Distance Covariance Analysis

Byron M. Yu, Adam Kohn, Matthew A. Smith, 2017, AISTATS.

Local field potentials indicate network state and account for neuronal response variability

Tai Sing Lee, Robert E. Kass, Matthew A. Smith, 2010, Journal of Computational Neuroscience.

EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings

Matthew A. Smith, Adam C. Snyder, Richard Johnston, 2020, eNeuro.

Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex

Byron M. Yu, Adam Kohn, Matthew A. Smith, 2016, PLoS Comput. Biol..

Establishing a Statistical Link between Network Oscillations and Neural Synchrony

Shawn D. Burton, Nathaniel N. Urban, Robert E. Kass, 2015, PLoS Comput. Biol..

Effects of Deep Brain Stimulation on Adaptive Control of Reaching

R. Shadmehr, M. A. Smith, Haivin Chen, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Early steps toward understanding neuronal communication

Adam C. Snyder, Matthew A. Smith, M. A. Smith, 2017, Current opinion in neurology.

A Stable Population Code for Attention in Prefrontal Cortex Leads a Dynamic Attention Code in Visual Cortex

Byron M. Yu, M. A. Smith, A. Snyder, 2021, The Journal of Neuroscience.

Spatial and Temporal Scales of Neuronal Correlation in Visual Area V4

Marc A Sommer, M. Sommer, M. A. Smith, 2013, The Journal of Neuroscience.

Hue tuning curves in V4 change with visual context

Konrad P. Kording, Matthew A. Smith, Pavan Ramkumar, 2019, bioRxiv.

Distinct population codes for attention in the absence and presence of visual stimulation

Byron M. Yu, M. A. Smith, A. Snyder, 2018, Nature Communications.

Dynamics of excitatory and inhibitory networks are differentially altered by selective attention.

Michael J. Morais, M. A. Smith, A. Snyder, 2016, Journal of neurophysiology.

Separating Spike Count Correlation from Firing Rate Correlation

Robert E. Kass, Valérie Ventura, Matthew A. Smith, 2016, Neural Computation.

Variance in population firing rate as a measure of slow time-scale correlation

Matthew A. Smith, Adam C. Snyder, Michael J. Morais, 2013, Front. Comput. Neurosci..

Accounting for network effects in neuronal responses using L1 regularized point process models

Tai Sing Lee, Robert E. Kass, Matthew A. Smith, 2010, NIPS.

Neuronal Adaptation: Tired Neurons or Wired Networks?

M. A. Smith, J. Mayo, J. Patrick Mayo, 2017, Trends in Neurosciences.

A neural network for online spike classification that improves decoding accuracy.

Sanjeev B. Khanna, Matthew A Smith, Deepa Issar, 2020, Journal of neurophysiology.

A neural network for online spike classification that improves decoding accuracy

Sanjeev B. Khanna, Ryan C. Williamson, Matthew A. Smith, 2019, bioRxiv.

Expectation reshapes V4 neuronal activity and improves perceptual performance

Patricia L. Stan, M. A. Smith, 2023, bioRxiv.

A Probabilistic Approach to Receptive Field Mapping in the Frontal Eye Fields

R. M. Morrison, Matthew A. Smith, M. A. Smith, 2016, Front. Syst. Neurosci..

Adjusted regularization of cortical covariance

Robert E. Kass, Valérie Ventura, Matthew A. Smith, 2018, Journal of Computational Neuroscience.

Population activity structure of excitatory and inhibitory neurons

Brent Doiron, Sean R. Bittner, Byron M. Yu, 2017, PloS one.

Monkey prefrontal neurons during Sternberg task performance: full contents of working memory or most recent item?

M. A. Smith, C. Olson, M. A. Smith, 2017, Journal of neurophysiology.