| Conditional dendritic spike propagation following distal synaptic activation of hippocampal CA1 pyramidal neurons T Jarsky, A Roxin, WL Kath, N Spruston Nature neuroscience 8 (12), 1667-1676, 2005 | 323 | 2005 |
| Self-sustained activity in a small-world network of excitable neurons A Roxin, H Riecke, SA Solla Physical review letters 92 (19), 198101, 2004 | 316 | 2004 |
| Role of delays in shaping spatiotemporal dynamics of neuronal activity in large networks A Roxin, N Brunel, D Hansel Physical review letters 94 (23), 238103, 2005 | 306 | 2005 |
| Macroscopic description for networks of spiking neurons E Montbriķ, D Pazķ, A Roxin Physical Review X 5 (2), 021028, 2015 | 304 | 2015 |
| On the distribution of firing rates in networks of cortical neurons A Roxin, N Brunel, D Hansel, G Mongillo, C van Vreeswijk Journal of Neuroscience 31 (45), 16217-16226, 2011 | 229 | 2011 |
| Neurobiological models of two-choice decision making can be reduced to a one-dimensional nonlinear diffusion equation A Roxin, A Ledberg PLoS Computational Biology 4 (3), e1000046, 2008 | 174 | 2008 |
| Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT K Wimmer, A Compte, A Roxin, D Peixoto, A Renart, J De La Rocha Nature communications 6 (1), 6177, 2015 | 166 | 2015 |
| Molecular mechanisms of liquid slip A Martini, A Roxin, RQ Snurr, Q Wang, S Lichter Journal of Fluid Mechanics 600, 257-269, 2008 | 143 | 2008 |
| UP-DOWN cortical dynamics reflect state transitions in a bistable network D Jercog, A Roxin, P Bartho, A Luczak, A Compte, J de la Rocha Elife 6, e22425, 2017 | 120 | 2017 |
| The role of degree distribution in shaping the dynamics in networks of sparsely connected spiking neurons A Roxin Frontiers in computational neuroscience 5, 8, 2011 | 92 | 2011 |
| Mechanisms for liquid slip at solid surfaces S Lichter, A Roxin, S Mandre Physical review letters 93 (8), 086001, 2004 | 82 | 2004 |
| Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks F Devalle, A Roxin, E Montbriķ PLoS computational biology 13 (12), e1005881, 2017 | 76 | 2017 |
| Multiple attractors, long chaotic transients, and failure in small-world networks of excitable neurons H Riecke, A Roxin, S Madruga, SA Solla Chaos: An Interdisciplinary Journal of Nonlinear Science 17 (2), 026110, 2007 | 72 | 2007 |
| Efficient partitioning of memory systems and its importance for memory consolidation A Roxin, S Fusi PLoS computational biology 9 (7), e1003146, 2013 | 70 | 2013 |
| Network mechanisms underlying the role of oscillations in cognitive tasks H Schmidt, D Avitabile, E Montbriķ, A Roxin PLoS computational biology 14 (9), e1006430, 2018 | 60 | 2018 |
| The statistics of repeating patterns of cortical activity can be reproduced by a model network of stochastic binary neurons A Roxin, V Hakim, N Brunel Journal of neuroscience 28 (42), 10734-10745, 2008 | 56 | 2008 |
| A computational model of major depression: the role of glutamate dysfunction on cingulo-frontal network dynamics JP Ramirez-Mahaluf, A Roxin, HS Mayberg, A Compte Cerebral Cortex 27 (1), 660-679, 2017 | 48 | 2017 |
| How effective delays shape oscillatory dynamics in neuronal networks A Roxin, E Montbriķ Physica D: Nonlinear Phenomena 240 (3), 323-345, 2011 | 46 | 2011 |
| 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 Montbriķ Physical Review E 100 (4), 042412, 2019 | 40 | 2019 |
| Rate models with delays and the dynamics of large networks of spiking neurons A Roxin, N Brunel, D Hansel Progress of Theoretical Physics Supplement 161, 68-85, 2006 | 28 | 2006 |
Albert CompteInstitut d'Investigacions Biomčdiques August Pi i Sunyer (IDIBAPS)Verified email at recerca.clinic.cat
