Samuel Pavio Muscinelli
Samuel Pavio Muscinelli
Email verificata su columbia.edu
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
502016
Ultraviolet asymptotics of glueball propagators
M Bochicchio, SP Muscinelli
Journal of High Energy Physics 2013 (8), 1-51, 2013
242013
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
18*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, 2021
22021
Optimal stimulation protocol in a bistable synaptic consolidation model
C Gastaldi, S Muscinelli, W Gerstner
Frontiers in Computational Neuroscience 13, 78, 2019
22019
Exponentially long orbits in Hopfield neural networks
SP Muscinelli, W Gerstner, J Brea
Neural Computation 29 (2), 458-484, 2017
22017
Divergent sensory processing converges in frontal cortex for a planned motor response
V Esmaeili, K Tamura, SP Muscinelli, A Modirshanechi, M Boscaglia, ...
bioRxiv, 2020
12020
Slow dynamics in structured neural network models
SP Muscinelli
EPFL, 2018
2018
A hierarchy of time scales supports unsupervised learning of behavioral sequences
SP Muscinelli, W Gerstner
BMC neuroscience 16 (S1), P78, 2015
2015
Long Timescale Sequence Recognition Using Adaptive Neural Networks
SP Muscinelli, W Gerstner
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–10