Matthew Panichello

6PUBLICATIONS
9CO-AUTHORS
Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)Electronic device and system performance evaluation, testing and simulationMemory and attentionSemi- and unsupervised learning
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Publications (6)

|May 18, 2026
Condition-Dependent Noise Correlations without Condition-Dependent Spike Counts.

|Feb 12, 2026
Live Spike Sorting of Large-scale Neural Recordings.

Shreyas Muralidharan, Calvin Leng, Lucas Orts

|Nov 07, 2024
Intermittent rate coding and cue-specific ensembles support working memory.

Matthew F Panichello, Donatas Jonikaitis, Yu Jin Oh

|Nov 06, 2023
Corvids optimize working memory by categorizing continuous stimuli.

Aylin Apostel, Matthew Panichello, Timothy J Buschman

|Sep 08, 2020
Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory.

Qing Yu, Matthew F Panichello, Ying Cai

|Jul 31, 2019
Error-correcting dynamics in visual working memory.

Matthew F Panichello, Brian DePasquale, Jonathan W Pillow

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Frequent Collaborators

3 joint publications

Timothy J Buschman

2 joint publications

Shude Zhu

2 joint publications

Tirin Moore

1 joint publications

Qing Yu