| Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks F Devalle, A Roxin, E Montbrió PLoS computational biology 13 (12), e1005881, 2017 | 92 | 2017 |
| Dynamics of a large system of spiking neurons with synaptic delay F Devalle, E Montbrió, D Pazó Physical Review E 98 (4), 042214, 2018 | 50 | 2018 |
| Exact firing rate model reveals the differential effects of chemical versus electrical synapses in spiking networks B Pietras, F Devalle, A Roxin, A Daffertshofer, E Montbrió Physical Review E 100 (4), 042412, 2019 | 47 | 2019 |
| 26th annual computational neuroscience meeting (CNS* 2017): Part 3 AJH Newton, AH Seidenstein, RA McDougal, A Pérez-Cervera, G Huguet, ... BMC Neuroscience 18, 1-82, 2017 | 3 | 2017 |
| Network mechanisms underlying representational drift in area CA1 of hippocampus F Devalle, A Roxin bioRxiv, 2022.11. 10.515946, 2022 | 2 | 2022 |
| Collective phenomena in networks of spiking neurons with synaptic delays F Devalle PQDT-Global, 2019 | 2 | 2019 |
| Fluctuation-driven plasticity allows for flexible rewiring of neuronal assemblies F Devalle, A Roxin arXiv preprint arXiv:2203.04641, 2022 | | 2022 |
| Collective phenomena in networks of spiking neurons. F Devalle | | |
| Solvable model for a network of spiking neurons with fixed delays F Devalle, D Pazó, E Montbrió | | |
