Neural Systems I
FOCUS · B03 · ID: 46187
Presentations
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Neural circuits for dynamics-based segmentation of time series
ORAL · Invited
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Publication: accepted to Neural Computation<br>preprint: https://arxiv.org/abs/2104.11852
Presenters
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Tiberiu Tesileanu
Flatiron Institute
Authors
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Tiberiu Tesileanu
Flatiron Institute
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Siavash Golkar
Flatiron institute, Flatiron Institute
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Samaneh Nasiri
Harvard Medical School
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Anirvan M Sengupta
Rutgers University, New Brunswick
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Dmitri Chklovskii
Flatiron institute, Flatiron Institute
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Recording neural activity in freely behaving animals with a random access two photon microscopy
ORAL
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Publication: A. Yamaguchi, D. Karagyozov, M. Gershow. Optics Letters. doi 10.1364/OL.419682
Presenters
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Akihiro Yamaguchi
New York University (NYU)
Authors
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Akihiro Yamaguchi
New York University (NYU)
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Akihiro Yamaguchi
New York University (NYU)
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Paul McNulty
New York Univ NYU, New York University (NYU), New York University
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Rui Wu
New York Univ NYU, New York University (NYU)
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Jason P Wolk
New York Univ NYU
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Marc H Gershow
New York Univ NYU
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Volumetric, multi-neuronal imaging in freely behaving Drosophila larvae
ORAL
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Presenters
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Paul McNulty
New York Univ NYU, New York University (NYU), New York University
Authors
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Paul McNulty
New York Univ NYU, New York University (NYU), New York University
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Building emergent representation of neural states using dynamical models
ORAL
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Presenters
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Josuan Calderon
Emory University
Authors
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Josuan Calderon
Emory University
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Gordon J Berman
Emory, Emory University
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Unveiling the dynamics and structure of drifting neural representations
ORAL
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Publication: S. Qin, S. Farashahi, D. Lipshutz, A. M. Sengupta, D. B. Chklovskii, and C. Pehlevan. "Coordinated drift of receptive fields during noisy representation learning". bioRxiv (2021). doi: 10.1101/2021.08.30.458264
Presenters
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Shanshan Qin
Peking Univ, Harvard University
Authors
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Shanshan Qin
Peking Univ, Harvard University
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A simple theory of stochastic dynamics near stable fixed points
ORAL
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Presenters
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Shivang Rawat
University of Minnesota
Authors
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Shivang Rawat
University of Minnesota
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Stefano Martiniani
University of Minnesota, Dept. of Chemical Engineering, University of Minnesota, Minneapolis, MN
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Stimulation-induced long-lasting desynchronization of plastic neuronal networks
ORAL
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Publication: [1] JAK and PAT, PRResearch 2, 033101 (2020); [2] JAK, AKN and PAT, Chaos 30, 083134 (2020); [3] AKN, JAK, and PAT, Front. Physiol. 12, 719680 (2021)
Presenters
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Justus A Kromer
Stanford University
Authors
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Justus A Kromer
Stanford University
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Ali Khaledi-Nasab
Stanford University
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Peter A Tass
Stanford University
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Closed-loop targeted optogenetic stimulation of C. elegans populations
ORAL
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Publication: Liu, M., Kumar, S., Sharma, A. K., & Leifer, A. M. (2021). Closed-loop targeted optogenetic stimulation of C. elegans populations. arXiv preprint arXiv:2109.05303.
Presenters
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Sandeep Kumar
Princeton Neuroscience Institute, Princeton University
Authors
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Mochi Liu
Physics, Princeton University
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Sandeep Kumar
Princeton Neuroscience Institute, Princeton University
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Anuj K Sharma
Princeton University, Department of Physics, Princeton University, USA, Physics, Princeton University
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Andrew M Leifer
Princeton University, Department of Physics, Princeton University, USA, Physics and Princeton Neuroscience Institute, Princeton University
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Temperature Mediated Transitions in Neuronal Activity
ORAL
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Publication: Manuela Burek, Rosangela Follmann and Epaminondas Rosa,<br>Temperature effects on neuronal firing rates and tonic-to-bursting transitions,<br>Biosystems 180, 1-6 (2019).<br>
Presenters
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Epaminondas Rosa
Illinois State University
Authors
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Epaminondas Rosa
Illinois State University
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Rosangela Follmann
Illinois State University
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Manuela Burek
Illinois State University
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Autocorrelations in homeostatic spiking neural networks as a result of emergent bistable activity
ORAL
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Presenters
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Johannes Zierenberg
Max Planck Institute for Dynamics and Self-Organization
Authors
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Johannes Zierenberg
Max Planck Institute for Dynamics and Self-Organization
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Benjamin Cramer
Kirchhoff-Institute for Physics, Heidelberg University
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Markus Kreft
Kirchhoff-Institute for Physics, Heidelberg University
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Sebastian Billaudelle
Kirchhoff-Institute for Physics, Heidelberg University
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Vitali Karasenko
Kirchhoff-Institute for Physics, Heidelberg University
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Aron Leibfried
Kirchhoff-Institute for Physics, Heidelberg University
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Eric Müller
Kirchhoff-Institute for Physics, Heidelberg University
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Philipp Spilger
Kirchhoff-Institute for Physics, Heidelberg University
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Johannes Weis
Kirchhoff-Institute for Physics, Heidelberg University
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Johannes Schemmel
Kirchhoff-Institute for Physics, Heidelberg Univer
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Viola Priesemann
Max Planck Institute for Dynamics and Self-Organization
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Effects of suppressing inhibitory synaptic strength on the dynamics of a network of spiking neurons: A computational study
ORAL
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Publication: H.Y. Li, G.M. Cheng and Emily S.C. Ching, Heterogeneous Responses to Suppressions of Inhibitory Synaptic Strength in Networks of<br>Spiking Neurons, submitted.
Presenters
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Emily S.C. Ching
Chinese University of Hong Kong
Authors
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Emily S.C. Ching
Chinese University of Hong Kong
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H.Y. Li
Chinese University of Hong Kong
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G.M. Cheng
Chinese University of Hong Kong
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Comparison of the synchronization transition of the Kuramoto model on fruit-fly versus a large human connectome
ORAL
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Publication: M. T. Gastner and G. Ódor, The topology of large Open Connectome networks for the human brain<br>Scientific Reports 6 (2016) 27249.<br><br>G. Odor and J. Kelling, Critical synchronization dynamics of the Kuramoto model on connectome and small world graphs. Scientic Reports 9 (2019). <br><br>Geza Odor, M. T. Gastner, J. Kelling, G. Deco,<br>Modelling on the very large-scale connectome, J. Phys. Complex. 2 (2021) 045002.
Presenters
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Geza Odor
Institute of Technical Physics and Mater
Authors
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Geza Odor
Institute of Technical Physics and Mater
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Gustavo Deco
Center for Brain and Cognition, Theoretical and Computational Group, Universitat Pompeu Fabra / ICREA, Barcelona, Spain
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Jeffrey Kelling
Department of Information Services and Computing, Helmholtz-Zentrum Dresden - Rossendorf, P.O.Box 51 01 19, 01314 Dresden, Germany
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