Nestor Parga

Affiliations: 
Universidad Autónoma de Madrid, Madrid, Comunidad de Madrid, Spain 
Area:
Computational Neuroscience, Theoretical Neuroscience
Google:
"Nestor Parga"
Mean distance: 15.36 (cluster 6)
 
Cross-listing: Computational Biology Tree

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Publications

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Carnevale F, de Lafuente V, Romo R, et al. (2015) Dynamic Control of Response Criterion in Premotor Cortex during Perceptual Detection under Temporal Uncertainty. Neuron. 86: 1067-77
Carnevale F, de Lafuente V, Romo R, et al. (2013) An optimal decision population code that accounts for correlated variability unambiguously predicts a subject's choice. Neuron. 80: 1532-43
Parga N. (2013) Towards a self-consistent description of irregular and asynchronous cortical activity Journal of Statistical Mechanics: Theory and Experiment. 2013
Carnevale F, de Lafuente V, Romo R, et al. (2012) Internal signal correlates neural populations and biases perceptual decision reports. Proceedings of the National Academy of Sciences of the United States of America. 109: 18938-43
Renart A, de la Rocha J, Bartho P, et al. (2010) The asynchronous state in cortical circuits. Science (New York, N.Y.). 327: 587-90
Moreno-Bote R, Parga N. (2010) Response of integrate-and-fire neurons to noisy inputs filtered by synapses with arbitrary timescales: firing rate and correlations. Neural Computation. 22: 1528-72
Moreno-Bote R, Renart A, Parga N. (2008) Theory of input spike auto- and cross-correlations and their effect on the response of spiking neurons. Neural Computation. 20: 1651-705
de la Rocha J, Parga N. (2008) Thalamocortical transformations of periodic stimuli: the effect of stimulus velocity and synaptic short-term depression in the vibrissa-barrel system. Journal of Computational Neuroscience. 25: 122-40
Renart A, Moreno-Bote R, Wang XJ, et al. (2007) Mean-driven and fluctuation-driven persistent activity in recurrent networks. Neural Computation. 19: 1-46
Moreno-Bote R, Parga N. (2006) Auto- and crosscorrelograms for the spike response of leaky integrate-and-fire neurons with slow synapses. Physical Review Letters. 96: 028101
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