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Samuel Muscinelli
Samuel Muscinelli
Postdoctoral researcher, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
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
672016
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
532021
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
46*2019
Ultraviolet asymptotics of glueball propagators
M Bochicchio, SP Muscinelli
Journal of High Energy Physics 2013 (8), 1-51, 2013
272013
Task-dependent optimal representations for cerebellar learning
M Xie, SP Muscinelli, KD Harris, A Litwin-Kumar
Elife 12, e82914, 2023
162023
Optimal routing to cerebellum-like structures
SP Muscinelli, MJ Wagner, A Litwin-Kumar
Nature neuroscience 26 (9), 1630-1641, 2023
112023
Exponentially long orbits in Hopfield neural networks
SP Muscinelli, W Gerstner, J Brea
Neural Computation 29 (2), 458-484, 2017
72017
Optimal stimulation protocol in a bistable synaptic consolidation model
C Gastaldi, S Muscinelli, W Gerstner
Frontiers in computational neuroscience, 78, 2019
62019
Long Timescale Sequence Recognition Using Adaptive Neural Networks
SP Muscinelli, W Gerstner
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Articles 1–9