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Adam C. Snyder, Ph.D.

Adam C. Snyder, Ph.D.

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Office (585) 275-8453

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About Me

Faculty Appointments

Assistant Professor - Department of Neuroscience (SMD) - Joint

Credentials

Post-doctoral Training & Residency

Postdoctoral Fellow
Advisor: Byron M. Yu, Ph.D.
Carnegie Mellon University, Pittsburgh, PA 2015 - 2018

Postdoctoral Fellow
Advisor: Matthew A. Smith, Ph.D.
University of Pittsburgh, Pittsburgh, PA 2012 - 2015

Postdoctoral Fellow
Advisor: Sophie Molholm, Ph.D.
Albert Einstein College of Medicine, Pittsburgh, PA 2011 - 2012

Education

PhD | City University of NY, Graduate School & University Center. Neuroscience. 2011

BA | New York University. Languages/Linguistics. 2006

Awards

Alfred P. Sloan Foundation Research Fellowship Award. 2020

NARSAD Young Investigator Award. 2019

Ripple Promising Investigator Research Award. 2015

Center for the Neural Basis of Cognition Outstanding Paper Award. 2015

NIH Pathway to Independence (K99/R00) Award. 2015

Neural Coding, Computation and Dynamics (NCCD) Travel Award. 2015

COSYNE Travel Award. 2014

NIH NRSA Individual Postdoctoral (F32) Fellowship. 2014 - 2015

SfN Postdoctoral Fellow Travel Award. 2013

NIH NRSA Institutional Postdoctoral (T32) Fellowship. 2012 - 2013

NIH National Graduate Student Conference Travel Fellowship. 2011

NIH NRSA Individual Predoctoral (F31) Fellowship. 2010 - 2011

CUNY Science Research Fellowship. 2007 - 2011

NYU Presidential Honors Scholarship. 2002 - 2006

Research

Our lab is focused on understanding the neural mechanisms of Attention Dynamics And Memory Systems. One essential challenge faced by the brain is a fundamental limitation on the amount of information that can be accessed, processed, stored or recalled from moment to moment. To address this challenge...
Our lab is focused on understanding the neural mechanisms of Attention Dynamics And Memory Systems. One essential challenge faced by the brain is a fundamental limitation on the amount of information that can be accessed, processed, stored or recalled from moment to moment. To address this challenge, humans and animals have evolved abilities to prioritize which pieces of information are processed based on context and goals. Disruptions of this crucial ability are implicated in nearly every neurological disease and disorder; frankly, everybody often wishes for an improved ability to handle the information needed to successfully navigate our complex daily lives.

We use electrophysiological methods (EEG, neural population recordings, electrical stimulation) and computational models to investigate the mechanisms of attention and memory and potential avenues for intervention. We employ approaches that measure neural activity across a wide range of scales, from the micrometer scale (neuronal population recordings) to the centimeter scale (scalp-recorded EEG).

Understanding how the brain operates across these scales simultaneously is a central challenge of contemporary neuroscience. Therefore, another pillar of our research program is to improve our basic understanding of how EEG signals and population spiking activity are related to each other. This is important not only for understanding attention and memory (in which disparate brain areas interact to control the information processing of small populations of neurons), but also for understanding other cognitive functions involving interactions across scales, such as learning, language, and decision-making.

Publications

Journal Articles

Automated customization of large-scale spiking network models to neuronal population activity.

Wu S, Huang C, Snyder AC, Smith MA, Doiron B, Yu BM

Nature computational science.. 2024 September 16 Epub 09/16/2024.

Neural Dynamics Underlying False Alarms in Extrastriate Cortex.

Sahoo B, Snyder AC

bioRxiv : the preprint server for biology.. 2024 September 12 Epub 09/12/2024.

Altered task demands lead to a division of labour for sensory and cognitive processing in the middle temporal area.

Scott H, Wimmer K, Pasternak T, Snyder AC

The European journal of neuroscience.. 2023 May 57 (9):1561-1576. Epub 04/04/2023.

Dynamic attention signalling in V4: Relation to fast-spiking/non-fast-spiking cell class and population coupling.

Sachse EM, Snyder AC

The European journal of neuroscience.. 2023 March 57 (6):918-939. Epub 03/03/2023.

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

Johnston R, Snyder AC, Khanna SB, Issar D, Smith MA

Cerebral cortex.. 2022 July 2132 (15):3331-3346. Epub 1900 01 01.

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

Johnston R, Snyder AC, Schibler RS, Smith MA

eNeuro.. 2022 9 (3)Epub 06/08/2022.

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

Snyder AC, Yu BM, Smith MA

The Journal of neuroscience : the official journal of the Society for Neuroscience.. 2021 November 341 (44):9163-9176. Epub 09/28/2021.

Bridging neuronal correlations and dimensionality reduction.

Umakantha A, Morina R, Cowley BR, Snyder AC, Smith MA, Yu BM

Neuron.. 2021 September 1109 (17):2740-2754.e12. Epub 07/21/2021.

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

Cowley BR, Snyder AC, Acar K, Williamson RC, Yu BM, Smith MA

Neuron.. 2020 November 11108 (3):551-567.e8. Epub 08/17/2020.

Distinct Sources of Variability Affect Eye Movement Preparation.

Khanna SB, Snyder AC, Smith MA

The Journal of neuroscience : the official journal of the Society for Neuroscience.. 2019 June 539 (23):4511-4526. Epub 03/26/2019.

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

Snyder AC, Yu BM, Smith MA

Nature communications.. 2018 October 229 (1):4382. Epub 10/22/2018.

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

Snyder AC, Issar D, Smith MA

The European journal of neuroscience.. 2018 October 48 (7):2466-2481. Epub 02/13/2018.

Early steps toward understanding neuronal communication.

Snyder AC, Smith MA

Current opinion in neurology.. 2018 February 31 (1):59-65. Epub 1900 01 01.

Population activity structure of excitatory and inhibitory neurons.

Bittner SR, Williamson RC, Snyder AC, Litwin-Kumar A, Doiron B, Chase SM, Smith MA, Yu BM

PloS one.. 2017 12 (8):e0181773. Epub 08/17/2017.

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

Snyder AC, Morais MJ, Smith MA

Journal of neurophysiology.. 2016 October 1116 (4):1807-1820. Epub 07/27/2016.

Establishing a Statistical Link between Network Oscillations and Neural Synchrony.

Zhou P, Burton SD, Snyder AC, Smith MA, Urban NN, Kass RE

PLoS computational biology.. 2015 October 11 (10):e1004549. Epub 10/14/2015.

Stimulus-dependent spiking relationships with the EEG.

Snyder AC, Smith MA

Journal of neurophysiology.. 2015 September 114 (3):1468-82. Epub 06/24/2015.

Global network influences on local functional connectivity.

Snyder AC, Morais MJ, Willis CM, Smith MA

Nature neuroscience.. 2015 May 18 (5):736-43. Epub 03/23/2015.

Correlations in V1 are reduced by stimulation outside the receptive field.

Snyder AC, Morais MJ, Kohn A, Smith MA

The Journal of neuroscience : the official journal of the Society for Neuroscience.. 2014 August 2034 (34):11222-7. Epub 1900 01 01.

Oscillatory alpha-band suppression mechanisms during the rapid attentional shifts required to perform an anti-saccade task.

Belyusar D, Snyder AC, Frey HP, Harwood MR, Wallman J, Foxe JJ

NeuroImage.. 2013 January 1565 :395-407. Epub 10/05/2012.

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

Snyder AC, Morais MJ, Smith MA

Frontiers in computational neuroscience.. 2013 7 :176. Epub 12/06/2013.

The countervailing forces of binding and selection in vision.

Snyder AC, Foxe JJ

Cortex; a journal devoted to the study of the nervous system and behavior.. 2012 September 48 (8):1035-42. Epub 05/17/2011.

Pitting binding against selection--electrophysiological measures of feature-based attention are attenuated by Gestalt object grouping.

Snyder AC, Fiebelkorn IC, Foxe JJ

The European journal of neuroscience.. 2012 March 35 (6):960-7. Epub 1900 01 01.

Early electrophysiological indices of illusory contour processing within the lateral occipital complex are virtually impervious to manipulations of illusion strength.

Altschuler TS, Molholm S, Russo NN, Snyder AC, Brandwein AB, Blanco D, Foxe JJ

NeuroImage.. 2012 February 1559 (4):4074-85. Epub 10/21/2011.

Mobile brain/body imaging (MoBI): High-density electrical mapping of inhibitory processes during walking.

De Sanctis P, Butler JS, Green JM, Snyder AC, Foxe JJ

Annual International Conference of the IEEE Engineering in Medicine and Biology Society.. 2012 2012 :1542-5. Epub 1900 01 01.

The N1 auditory evoked potential component as an endophenotype for schizophrenia: high-density electrical mapping in clinically unaffected first-degree relatives, first-episode, and chronic schizophrenia patients.

Foxe JJ, Yeap S, Snyder AC, Kelly SP, Thakore JH, Molholm S

European archives of psychiatry and clinical neuroscience.. 2011 August 261 (5):331-9. Epub 12/14/2010.

Oscillatory alpha-band mechanisms and the deployment of spatial attention to anticipated auditory and visual target locations: supramodal or sensory-specific control mechanisms?

Banerjee S, Snyder AC, Molholm S, Foxe JJ

The Journal of neuroscience : the official journal of the Society for Neuroscience.. 2011 July 631 (27):9923-32. Epub 1900 01 01.

Ready, set, reset: stimulus-locked periodicity in behavioral performance demonstrates the consequences of cross-sensory phase reset.

Fiebelkorn IC, Foxe JJ, Butler JS, Mercier MR, Snyder AC, Molholm S

The Journal of neuroscience : the official journal of the Society for Neuroscience.. 2011 July 631 (27):9971-81. Epub 1900 01 01.

The neurophysiology of human biological motion processing: a high-density electrical mapping study.

Krakowski AI, Ross LA, Snyder AC, Sehatpour P, Kelly SP, Foxe JJ

NeuroImage.. 2011 May 156 (1):373-83. Epub 01/26/2011.

The Role of Alpha-Band Brain Oscillations as a Sensory Suppression Mechanism during Selective Attention.

Foxe JJ, Snyder AC

Frontiers in psychology.. 2011 2 :154. Epub 07/05/2011.

Anticipatory attentional suppression of visual features indexed by oscillatory alpha-band power increases: a high-density electrical mapping study.

Snyder AC, Foxe JJ

The Journal of neuroscience : the official journal of the Society for Neuroscience.. 2010 March 1730 (11):4024-32. Epub 1900 01 01.