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Samuel Muscinelli
Samuel Muscinelli
Postdoctoral researcher, Columbia University
Email verificata su columbia.edu - Home page
Titolo
Citata da
Citata da
Anno
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
612016
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
36*2019
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
302021
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, S Muscinelli, KD Harris, A Litwin-Kumar
bioRxiv, 2022.08. 15.504040, 2022
72022
Optimal stimulation protocol in a bistable synaptic consolidation model
C Gastaldi, S Muscinelli, W Gerstner
Frontiers in computational neuroscience, 78, 2019
42019
Exponentially long orbits in Hopfield neural networks
SP Muscinelli, W Gerstner, J Brea
Neural Computation 29 (2), 458-484, 2017
42017
Optimal routing to cerebellum-like structures
S Muscinelli, M Wagner, A Litwin-Kumar
bioRxiv, 2022.02. 10.480014, 2022
22022
Long Timescale Sequence Recognition Using Adaptive Neural Networks
SP Muscinelli, W Gerstner
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–9