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Brian D. DePasquale, Ph.D. - Publications

Affiliations: 
2009-2016 Center for Theoretical Neuroscience Columbia University, New York, NY 
 2016- Princeton Neuroscience Institute Princeton University, Princeton, NJ 
 2023- Biomedical Engineering Boston University, Boston, MA, United States 
Area:
Computation & Theory
Website:
http://www.princeton.edu/~briandd/
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18 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 DePasquale B, Brody CD, Pillow JW. Neural population dynamics underlying evidence accumulation in multiple rat brain regions. Elife. 13. PMID 39162374 DOI: 10.7554/eLife.84955  0.747
2024 Insanally MN, Albanna BF, Toth J, DePasquale B, Fadaei SS, Gupta T, Lombardi O, Kuchibhotla K, Rajan K, Froemke RC. Contributions of cortical neuron firing patterns, synaptic connectivity, and plasticity to task performance. Nature Communications. 15: 6023. PMID 39019848 DOI: 10.1038/s41467-024-49895-6  0.781
2024 Gupta D, DePasquale B, Kopec CD, Brody CD. Trial-history biases in evidence accumulation can give rise to apparent lapses in decision-making. Nature Communications. 15: 662. PMID 38253526 DOI: 10.1038/s41467-024-44880-5  0.755
2023 Luo TZ, Kim TD, Gupta D, Bondy AG, Kopec CD, Elliot VA, DePasquale B, Brody CD. Non-canonical attractor dynamics underlie perceptual decision-making. Biorxiv : the Preprint Server For Biology. PMID 37904994 DOI: 10.1101/2023.10.15.562427  0.628
2023 Gupta D, DePasquale B, Kopec CD, Brody CD. Trial-history biases in evidence accumulation can give rise to apparent lapses. Biorxiv : the Preprint Server For Biology. PMID 36778392 DOI: 10.1101/2023.01.18.524599  0.757
2023 DePasquale B, Sussillo D, Abbott LF, Churchland MM. The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks. Neuron. PMID 36630961 DOI: 10.1016/j.neuron.2022.12.007  0.759
2019 Pinto L, Rajan K, DePasquale B, Thiberge SY, Tank DW, Brody CD. Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions. Neuron. PMID 31564591 DOI: 10.1016/J.Neuron.2019.08.025  0.74
2019 Panichello MF, DePasquale B, Pillow JW, Buschman TJ. Error-correcting dynamics in visual working memory. Nature Communications. 10: 3366. PMID 31358740 DOI: 10.1038/S41467-019-11298-3  0.594
2019 Insanally MN, Carcea I, Field RE, Rodgers CC, DePasquale B, Rajan K, DeWeese MR, Albanna BF, Froemke RC. Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons. Elife. 8. PMID 30688649 DOI: 10.7554/Elife.42409  0.793
2019 DePasquale B. Decision letter: Local online learning in recurrent networks with random feedback Elife. DOI: 10.7554/Elife.43299.014  0.396
2019 Insanally MN, Carcea I, Field RE, Rodgers CC, DePasquale B, Rajan K, DeWeese MR, Albanna BF, Froemke RC. Author response: Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons Elife. DOI: 10.7554/Elife.42409.029  0.76
2018 DePasquale B, Cueva CJ, Rajan K, Escola GS, Abbott LF. full-FORCE: A target-based method for training recurrent networks. Plos One. 13: e0191527. PMID 29415041 DOI: 10.1371/Journal.Pone.0191527  0.667
2018 Panichello M, DePasquale B, Pillow J, Buschman T. Memory load modulates the dynamics of visual working memory. Journal of Vision. 18: 189. DOI: 10.1167/18.10.189  0.569
2016 Abbott LF, DePasquale B, Memmesheimer RM. Building functional networks of spiking model neurons. Nature Neuroscience. 19: 350-5. PMID 26906501 DOI: 10.1038/Nn.4241  0.616
2016 Abbott LF, DePasquale B, Memmesheimer RM. Building functional networks of spiking model neurons Nature Neuroscience. 19: 350-355. DOI: 10.1038/nn.4241  0.574
2015 Feingold J, Gibson DJ, DePasquale B, Graybiel AM. Bursts of beta oscillation differentiate postperformance activity in the striatum and motor cortex of monkeys performing movement tasks. Proceedings of the National Academy of Sciences of the United States of America. 112: 13687-92. PMID 26460033 DOI: 10.1073/Pnas.1517629112  0.498
2012 Paninski L, Vidne M, DePasquale B, Ferreira DG. Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methods. Journal of Computational Neuroscience. 33: 1-19. PMID 22089473 DOI: 10.1007/S10827-011-0371-7  0.334
2011 DePasquale BD, Fusi S. Memory capacity of a random, recurrently connected network of neurons with multiple, biologically realistic facilitation and adaptation profiles Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P115  0.438
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