User profiles for J. S. Sherfey
 | Jason SherfeyResearch Assistant Professor, Boston University, MIT Verified email at mit.edu Cited by 579 |
Multimodal imaging of repetition priming: using fMRI, MEG, and intracranial EEG to reveal spatiotemporal profiles of word processing
…, HM Girard, A Trongnetrpunya, JS Sherfey… - Neuroimage, 2010 - Elsevier
Repetition priming is a core feature of memory processing whose anatomical correlates
remain poorly understood. In this study, we use advanced multimodal imaging (functional …
remain poorly understood. In this study, we use advanced multimodal imaging (functional …
[HTML][HTML] DynaSim: a MATLAB toolbox for neural modeling and simulation
DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural
models and batch simulation management. It is designed to speed up and simplify the process …
models and batch simulation management. It is designed to speed up and simplify the process …
[HTML][HTML] Flexible resonance in prefrontal networks with strong feedback inhibition
Oscillations are ubiquitous features of brain dynamics that undergo task-related changes in
synchrony, power, and frequency. The impact of those changes on target networks is poorly …
synchrony, power, and frequency. The impact of those changes on target networks is poorly …
Biased competition in the absence of input bias revealed through corticostriatal computation
S Ardid, JS Sherfey, MM McCarthy… - Proceedings of the …, 2019 - National Acad Sciences
Classical accounts of biased competition require an input bias to resolve the competition
between neuronal ensembles driving downstream processing. However, flexible and reliable …
between neuronal ensembles driving downstream processing. However, flexible and reliable …
Hetereogeneity in neuronal intrinsic properties: a possible mechanism for hub-like properties of the rat anterior cingulate cortex during network activity
The anterior cingulate cortex (ACC) is vital for a range of brain functions requiring cognitive
control and has highly divergent inputs and outputs, thus manifesting as a hub in …
control and has highly divergent inputs and outputs, thus manifesting as a hub in …
Biased competition in the absence of input bias: predictions from corticostriatal computation
Classical accounts of biased competition (BC) require an input bias to resolve the competition
between neuronal ensembles driving downstream processing. However, flexible and …
between neuronal ensembles driving downstream processing. However, flexible and …
[PDF][PDF] Prefrontal oscillations modulate the propagation of neuronal activity required for working
… Building on our earlier work (Sherfey et al., 2018a), we hypothesized that increasing the
excitability of the 390 output gate would increase the gate’s resonant frequency and lead to the …
excitability of the 390 output gate would increase the gate’s resonant frequency and lead to the …
[PDF][PDF] Spatiotemporal Dynamics of the Slow Oscillation in a Thalamocortical Network Model
JS Sherfey - isn.ucsd.edu
Rhythmicity is a ubiquitous feature of neural activity that results from an interaction between
intrinsic currents and extrinsic network properties. The most prominent rhythm during sleep …
intrinsic currents and extrinsic network properties. The most prominent rhythm during sleep …
[PDF][PDF] Cortical rhythms and interneurons for reading working memory
Methods Dorsolateral prefrontal cortex (DLPFC) maintains working memory (WM) in the
persistent spiking of pyramidal cells. Experimental and theoretical studies have shown this …
persistent spiking of pyramidal cells. Experimental and theoretical studies have shown this …
[HTML][HTML] Prefrontal oscillations modulate the propagation of neuronal activity required for working memory
Cognition involves using attended information, maintained in working memory (WM), to guide
action. During a cognitive task, a correct response requires flexible, selective gating so that …
action. During a cognitive task, a correct response requires flexible, selective gating so that …