Samuel Muscinelli 个人学术档案

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Wulfram GerstnerEPFL在 epfl.ch 的电子邮件经过验证
Johanni BreaScientist & Lecturer, Laboratory of Computational Neuroscience, EPFL在 epfl.ch 的电子邮件经过验证
Carl PetersenEcole Polytechnique Fédérale de Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
Vahid EsmaeiliResearch scientist在 epfl.ch 的电子邮件经过验证
Sylvain CrochetSenior Scientist, EPFL在 epfl.ch 的电子邮件经过验证
Keita TamuraUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
Anastasiia OryshchukPhD, Swiss Federal Institute of Technology, Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
Tilo SchwalgerTU Berlin在 bccn-berlin.de 的电子邮件经过验证
Florian ColomboEPFL, Ph.D.在 epfl.ch 的电子邮件经过验证
Alexander SeeholzerÉcole polytechnique fédérale de Lausanne在 alumni.epfl.ch 的电子邮件经过验证
ashok litwin-kumarcenter for theoretical neuroscience, columbia university在 columbia.edu 的电子邮件经过验证
Kameron Decker HarrisAssistant Professor of Computer Science, Western Washington University在 wwu.edu 的电子邮件经过验证
Marjorie XieArizona State University, New York Academy of Sciences在 asu.edu 的电子邮件经过验证
Mark J. WagnerStadtman Investigator, National Institutes of Health在 nih.gov 的电子邮件经过验证
Chiara GastaldiProject Officer, JRC在 ec.europa.eu 的电子邮件经过验证

Samuel Muscinelli

Postdoctoral researcher, Columbia University

在 columbia.edu 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Algorithmic Composition of Melodies with Deep Recurrent Neural Networks F Colombo, SP Muscinelli, A Seeholzer, J Brea, W Gerstner arXiv preprint arXiv:1606.07251, 2016	65	2016
Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response V Esmaeili, K Tamura, SP Muscinelli, A Modirshanechi, M Boscaglia, ... Neuron 109 (13), 2183-2201. e9, 2021	59	2021
How single neuron properties shape chaotic dynamics and signal transmission in random neural networks SP Muscinelli, W Gerstner, T Schwalger PLOS Computational Biology 15 (6), e1007122, 2019	47*	2019
Ultraviolet asymptotics of glueball propagators M Bochicchio, SP Muscinelli Journal of High Energy Physics 2013 (8), 1-51, 2013	28	2013
Task-dependent optimal representations for cerebellar learning M Xie, SP Muscinelli, KD Harris, A Litwin-Kumar Elife 12, e82914, 2023	13	2023
Optimal routing to cerebellum-like structures SP Muscinelli, MJ Wagner, A Litwin-Kumar Nature neuroscience 26 (9), 1630-1641, 2023	12	2023
Exponentially long orbits in Hopfield neural networks SP Muscinelli, W Gerstner, J Brea Neural Computation 29 (2), 458-484, 2017	8	2017
Optimal stimulation protocol in a bistable synaptic consolidation model C Gastaldi, S Muscinelli, W Gerstner Frontiers in computational neuroscience, 78, 2019	6	2019
Long Timescale Sequence Recognition Using Adaptive Neural Networks SP Muscinelli, W Gerstner

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