| Properties of networks with partially structured and partially random connectivity Y Ahmadian, F Fumarola, KD Miller Physical Review E 91 (1), 012820, 2015 | 99 | 2015 |
| Mathematical equivalence of two common forms of firing rate models of neural networks KD Miller, F Fumarola Neural computation 24 (1), 25-31, 2012 | 75 | 2012 |
| 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 | 13 | 2020 |
| 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 | 11 | 2022 |
| 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 | 8 | 2020 |
| 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 | 3 | 2023 |
| 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 | 3 | 2023 |
| Mechanisms for spontaneous symmetry breaking in developing visual cortex F Fumarola, B Hein, KD Miller Physical Review X 12 (3), 031024, 2022 | 3 | 2022 |
| A Diffusive-Particle Theory of Free Recall F Fumarola Advances in cognitive psychology 13 (3), 201, 2017 | 3 | 2017 |
| Baseline control of optimal performance in recurrent neural networks S Ogawa, F Fumarola, L Mazzucato bioRxiv 2022.05.11.491436, 2022 | 2 | 2022 |
| Baseline control of optimal performance in recurrent neural networks L Mazzucato, F Fumarola, S Ogawa APS March Meeting Abstracts 2023, D11. 002, 2023 | 1 | 2023 |
| Decoding silence in free recall F Fumarola, Z He, Ł Kuśmierz, T Toyoizumi Physical Review Research 4 (3), 033089, 2022 | 1 | 2022 |
| 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 |
| The Synaptic Weight Matrix: Dynamics, Symmetry Breaking, and Disorder F Fumarola Columbia University, Doctoral Thesis, 2018 | 1 | 2018 |
| " Bayesian anchoring" and the fourfold pattern of risk attitudes F Fumarola, L Kusmierz, R Dekker bioRxiv, 2024.01. 13.575482, 2024 | | 2024 |
| Solving a Puzzle in Brain Development R Wilkinson Physics 15, s107, 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 |
