Alex Roxin
Cited by
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Macroscopic description for networks of spiking neurons
E Montbriķ, D Pazķ, A Roxin
Physical Review X 5 (2), 021028, 2015
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
Self-sustained activity in a small-world network of excitable neurons
A Roxin, H Riecke, SA Solla
Physical review letters 92 (19), 198101, 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
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
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
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
Molecular mechanisms of liquid slip
A Martini, A Roxin, RQ Snurr, Q Wang, S Lichter
Journal of Fluid Mechanics 600, 257-269, 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
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
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
Mechanisms for liquid slip at solid surfaces
S Lichter, A Roxin, S Mandre
Physical Review Letters 93 (8), 086001, 2004
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
Efficient partitioning of memory systems and its importance for memory consolidation
A Roxin, S Fusi
PLoS computational biology 9 (7), e1003146, 2013
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), 2007
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
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
How effective delays shape oscillatory dynamics in neuronal networks
A Roxin, E Montbriķ
Physica D: Nonlinear Phenomena 240 (3), 323-345, 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
Synchrony-induced modes of oscillation of a neural field model
JM Esnaola-Acebes, A Roxin, D Avitabile, E Montbriķ
Physical Review E 96 (5), 052407, 2017
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