Physics of Neural Systems II
FOCUS · D11 · ID: 1067838
Presentations
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Detecting assemblies of coordinated neurons with a novel family of maximum entropy models
ORAL · Invited
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Presenters
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Clelia de Mulatier
University of Amsterdam
Authors
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Clelia de Mulatier
University of Amsterdam
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Baseline control of optimal performance in recurrent neural networks
ORAL
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Publication: https://www.biorxiv.org/content/10.1101/2022.05.11.491436v1.abstract
Presenters
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Luca Mazzucato
University of Oregon
Authors
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Luca Mazzucato
University of Oregon
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Francesco Fumarola
RIKEN
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Shun Ogawa
RIKEN
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Pitch Acts as a Distractor in Optimal Estimation of Yaw in Dynamic Natural Scenery
ORAL
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Presenters
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Charles Edelson
Indiana University Bloomington
Authors
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Charles Edelson
Indiana University Bloomington
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Robert de Ruyter
Indiana Univ - Bloomington
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William S Bialek
Princeton University
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Shiva R Sinha
Indiana University Bloomington
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On the context-dependent efficient coding of olfactory spaces
ORAL
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Publication: G. Tavoni, S. Ching, B. Raman. Context-dependent efficient coding of olfactory spaces: normative solutions and neural implementations. In prep.
Presenters
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Gaia Tavoni
Washington University in St. Louis
Authors
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Gaia Tavoni
Washington University in St. Louis
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ShiNung Ching
Washington University in St. Louis
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Baranidharan Raman
Washington University in St. Louis
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Emergent neural network behavior in dynamically driven superconducting loop disordered systems
ORAL
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Publication: Goteti, Uday S., et al. "Superconducting disordered neural networks for neuromorphic processing with fluxons." Science advances 8.16 (2022): eabn4485.<br>Goteti, Uday S., et al. "Low-temperature emergent neuromorphic networks with correlated oxide devices." Proceedings of the National Academy of Sciences 118.35 (2021): e2103934118.<br>Goteti, Uday S., and Robert C. Dynes. "Superconducting neural networks with disordered Josephson junction array synaptic networks and leaky integrate-and-fire loop neurons." Journal of Applied Physics 129.7 (2021): 073901.
Presenters
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Uday S Goteti
University of California, San Diego
Authors
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Uday S Goteti
University of California, San Diego
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Shane A Cybart
University of California, Riverside
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Robert C Dynes
University of California, San Diego
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Grid Cell Percolation
ORAL
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Publication: LANL: arxiv.org/abs/2208.12876
Presenters
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Yuri A Dabaghian
University of Texas Health Science Cente
Authors
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Yuri A Dabaghian
University of Texas Health Science Cente
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Flexible multitask computation in recurrent networks utilizes shared dynamical motifs
ORAL · Invited
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Presenters
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Laura Driscoll
Stanford University
Authors
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Philipp Fleig
Max Planck Institute for Medical Research
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Laura Driscoll
Stanford University
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Eugenio Piasini
University of Pennsylvania
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Theory of Coupled Neuronal-Synaptic Dynamics
ORAL
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Presenters
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David G Clark
Columbia University
Authors
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David G Clark
Columbia University
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Larry F Abbott
Columbia University
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Potential landscapes and the visual cortex: A study of brain wave entrainment using Neural Mass Models
ORAL
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Publication: Phogat R, Parmananda P, Prasad A. Intensity dependence of sub-harmonics in cortical response to photic stimulation. J Neural Eng. 2022 Jul 29;19(4).
Presenters
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Ashok Prasad
Colorado State University
Authors
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Richa Phogat
Indian Institute of Technology, Bombay
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P. Parmananda
Indian Institute of Technology, Bombay
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Ashok Prasad
Colorado State University
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MiV-Simulator: A computational framework to simulate exact scale in-vitro neuronal networks
ORAL
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Presenters
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Gaurav Upadhyay
University of Illinois at Urbana-Champaign
Authors
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Gaurav Upadhyay
University of Illinois at Urbana-Champaign
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Seung-Hyun Kim
University of Illinois at Urbana-Champaign
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Frithjof Gressmann
University of illinois at Urbana-Champaign
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Ivan Raikov
Stanford University
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Zhi Dou
University of Illinois at Urbana-Champai, University of Illinois at Urbana-Champaign
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Xiaotian Zhang
University of Illinois at Urbana-Champai, University of Illinois at Urbana-Champaign
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Ivan Soltesz
Stanford University
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Lawrence Rauchwerger
University of Illinois ar Urbana-Champaign
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Mattia Gazzola
University of Illinois at Urbana-Champaign
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High Frequency Deep Brain Stimulation Reduces Exaggerated Synchronization in Biophysically Realistic Spiking Neural Networks
ORAL
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Publication: for submission to Physical Review Letters or Physical Review E
Presenters
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AmirAli Farokhniaee
University College Dublin
Authors
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AmirAli Farokhniaee
University College Dublin
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