activity
20062012
most citedIrregular dynamics in up and down cortical states

61 citations · 113 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.dis-nn2012★ 12 cited

Short-term synaptic facilitation improves information retrieval in noisy neural networks

J. F. Mejias, B. Hernandez-Gomez, J. J. Torres

Short-term synaptic depression and facilitation have been found to greatly influence the performance of autoassociative neural networks. However, only partial results, focused for…

physics.data-an2011★ 32 cited

Can intrinsic noise induce various resonant peaks?

J. J. Torres, J. Marro, J. F. Mejias

We theoretically describe how weak signals may be efficiently transmitted throughout more than one frequency range in noisy excitable media by kind of stochastic multiresonance. Th…

q-bio.NC2010★ 61 cited

Irregular dynamics in up and down cortical states

Jorge F. Mejias, Hilbert J. Kappen, Joaquin J. Torres

Complex coherent dynamics is present in a wide variety of neural systems. A typical example is the voltage transitions between up and down states observed in cortical areas in the…

q-bio.NC2009★ 1 cited

Emergence of resonances in neural systems: the interplay between threshold adaptation and short-term synaptic plasticity

Jorge F. Mejias, Joaquin J. Torres

In this work we study the detection of weak stimuli by spiking neurons in the presence of certain level of noisy background neural activity. Our study has focused in the realistic…

q-bio.NC2008★ 3 cited

Maximum memory capacity on neural networks with short-term depression and facilitation

Jorge F. Mejias, Joaquin J. Torres

In this work we study, analytically and employing Monte Carlo simulations, the influence of the competition between several activity-dependent synaptic processes, such as short-ter…

q-bio.NC2006★ 4 cited

The role of synaptic facilitation in coincidence spike detection

Jorge F. Mejias, Joaquin J. Torres

Using a realistic model of activity dependent dynamical synapses and a standard integrate and fire neuron model we study, both analytically and numerically, the conditions in which…