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Srdjan Ostojic
Srdjan Ostojic
Ecole Normale Superieure Paris
Подтвержден адрес электронной почты в домене ens.fr - Главная страница
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Процитировано
Процитировано
Год
Linking connectivity, dynamics, and computations in low-rank recurrent neural networks
F Mastrogiuseppe, S Ostojic
Neuron 99 (3), 609-623. e29, 2018
3602018
Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons
S Ostojic
Nature neuroscience 17 (4), 594-600, 2014
3442014
From spiking neuron models to linear-nonlinear models
S Ostojic, N Brunel
PLoS computational biology 7 (1), e1001056, 2011
2652011
How connectivity, background activity, and synaptic properties shape the cross-correlation between spike trains
S Ostojic, N Brunel, V Hakim
Journal of Neuroscience 29 (33), 10234-10253, 2009
2632009
Scale invariance and universality of force networks in static granular matter
S Ostojic, E Somfai, B Nienhuis
Nature 439 (7078), 828-830, 2006
1872006
Abstract context representations in primate amygdala and prefrontal cortex
A Saez, M Rigotti, S Ostojic, S Fusi, CD Salzman
Neuron 87 (4), 869-881, 2015
1842015
The role of population structure in computations through neural dynamics
A Dubreuil, A Valente, M Beiran, F Mastrogiuseppe, S Ostojic
Nature Neuroscience 25, 783–794, 2022
182*2022
Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity
M Jazayeri, S Ostojic
Current opinion in neurobiology 70, 113-120, 2021
1702021
Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities
S Ostojic, N Brunel, V Hakim
Journal of computational neuroscience 26, 369-392, 2009
1292009
Interspike interval distributions of spiking neurons driven by fluctuating inputs
S Ostojic
Journal of neurophysiology 106 (1), 361-373, 2011
882011
Dynamics of random recurrent networks with correlated low-rank structure
F Schuessler, A Dubreuil, F Mastrogiuseppe, S Ostojic, O Barak
Physical Review Research 2 (1), 013111, 2020
872020
Intrinsically-generated fluctuating activity in excitatory-inhibitory networks
F Mastrogiuseppe, S Ostojic
PLoS computational biology 13 (4), e1005498, 2017
832017
Correlations between synapses in pairs of neurons slow down dynamics in randomly connected neural networks
D Martí, N Brunel, S Ostojic
Physical Review E 97 (6), 062314, 2018
792018
Go/No-Go task engagement enhances population representation of target stimuli in primary auditory cortex
S Bagur, M Averseng, D Elgueda, S David, J Fritz, P Yin, S Shamma, ...
Nature communications 9 (1), 2529, 2018
762018
A complex-valued firing-rate model that approximates the dynamics of spiking networks
ES Schaffer, S Ostojic, LF Abbott
PLoS computational biology 9 (10), e1003301, 2013
692013
The interplay between randomness and structure during learning in RNNs
F Schuessler, F Mastrogiuseppe, A Dubreuil, S Ostojic, O Barak
Advances in neural information processing systems 33, 13352-13362, 2020
682020
Shaping dynamics with multiple populations in low-rank recurrent networks
M Beiran, A Dubreuil, A Valente, F Mastrogiuseppe, S Ostojic
Neural computation 33 (6), 1572-1615, 2021
652021
Natural firing patterns imply low sensitivity of synaptic plasticity to spike timing compared with firing rate
M Graupner, P Wallisch, S Ostojic
Journal of Neuroscience 36 (44), 11238-11258, 2016
652016
Neuronal morphology generates high-frequency firing resonance
S Ostojic, G Szapiro, E Schwartz, B Barbour, N Brunel, V Hakim
Journal of Neuroscience 35 (18), 7056-7068, 2015
642015
Inferring and validating mechanistic models of neural microcircuits based on spike-train data
J Ladenbauer, S McKenzie, DF English, O Hagens, S Ostojic
Nature communications 10 (1), 4933, 2019
542019
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Статьи 1–20