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Francesco Fumarola
Francesco Fumarola
理化学研究所 脳神経科学研究センター
Verified email at columbia.edu
Title
Cited by
Cited by
Year
Properties of networks with partially structured and partially random connectivity
Y Ahmadian, F Fumarola, KD Miller
Physical Review E 91 (1), 012820, 2015
912015
Mathematical equivalence of two common forms of firing rate models of neural networks
KD Miller, F Fumarola
Neural computation 24 (1), 25-31, 2012
682012
Structure and variability of optogenetic responses identify the operating regime of cortex
A Palmigiano, F Fumarola, DP Mossing, N Kraynyukova, H Adesnik, ...
bioRxiv 2020.11.11.378729, 2020
132020
Sparse balance: Excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights
R Khajeh, F Fumarola, LF Abbott
PLoS computational biology 18 (2), e1008836, 2022
92022
A Diffusive-Particle Theory of Free Recall
F Fumarola
Advances in cognitive psychology 13 (3), 201, 2017
32017
Mechanisms for spontaneous symmetry breaking in developing visual cortex
F Fumarola, B Hein, KD Miller
Physical Review X 12 (3), 031024, 2022
22022
Common rules underlying optogenetic and behavioral modulation of responses in multi-cell-type V1 circuits
A Palmigiano, F Fumarola, DP Mossing, N Kraynyukova, H Adesnik, ...
bioRxiv, 2020.11. 11.378729, 2020
22020
Multitasking via baseline control in recurrent neural networks
S Ogawa, F Fumarola, L Mazzucato
Proceedings of the National Academy of Sciences 120 (33), e2304394120, 2023
12023
Baseline control of optimal performance in recurrent neural networks
L Mazzucato, F Fumarola, S Ogawa
APS March Meeting Abstracts 2023, D11. 002, 2023
12023
Baseline control of optimal performance in recurrent neural networks
S Ogawa, F Fumarola, L Mazzucato
bioRxiv 2022.05.11.491436, 2022
12022
Predicting perturbation effects from resting state activity using functional causal flow
A Nejatbakhsh, F Fumarola, S Esteki, T Toyoizumi, R Kiani, L Mazzucato
bioRxiv 2020.11.23.394916, 2020
1*2020
" Bayesian anchoring" and the fourfold pattern of risk attitudes
F Fumarola, L Kusmierz, R Dekker
bioRxiv, 2024.01. 13.575482, 2024
2024
Predicting the effect of micro-stimulation on macaque prefrontal activity based on spontaneous circuit dynamics
A Nejatbakhsh, F Fumarola, S Esteki, T Toyoizumi, R Kiani, L Mazzucato
Physical Review Research 5 (4), 043211, 2023
2023
Solving a Puzzle in Brain Development
R Wilkinson
Physics 15, s107, 2022
2022
Decoding silence in free recall
F Fumarola, Z He, Ł Kuśmierz, T Toyoizumi
Physical Review Research 4 (3), 033089, 2022
2022
Development of orientation selective receptive fields via Hebbian plasticity
H Bettina, F Fumarola, K Miller
COSYNE 2022, II-032, 2022
2022
Hebbian learning of orientation-selective receptive fields with monotonic fall-off of input correlations
B Hein, F Fumarola, KD Miller
APS March Meeting 2022, D03.00004, 2022
2022
Predicting perturbation effects from resting state activity using functional causal flow
A Nejatbakhsh, F Fumarola, S Esteki, T Toyoizumi, R Kiani, L Mazzucato
COSYNE 2021, 3-022, 2021
2021
Structure and variability of optogenetic responses identify the operating regime of cortex
A Palmigiano, F Fumarola, D Mossing, H Adesnik, N Kraynyukova, ...
COSYNE 2021, T-3, 2021
2021
Detecting unreported recalls in memory experiments
F Fumarola, Z He, Ł Kuśmierz, T Toyoizumi
bioRxiv 2021.01.26.428351, 2021
2021
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