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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Perez-Zabalza M, Reig R, Manrique J, et al. (2020) Modulation of cortical slow oscillatory rhythm by GABA receptors: an in vitro experimental and computational study. The Journal of Physiology
Sarno S, de Lafuente V, Romo R, et al. (2017) Dopamine reward prediction error signal codes the temporal evaluation of a perceptual decision report. Proceedings of the National Academy of Sciences of the United States of America
Rossi-Pool R, Salinas E, Zainos A, et al. (2016) Emergence of an abstract categorical code enabling the discrimination of temporally structured tactile stimuli. Proceedings of the National Academy of Sciences of the United States of America
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
Sarno S, de Lafuente V, Romo R, et al. (2014) The dopamine signal in decision-making tasks with stimulus and timing uncertainty Bmc Neuroscience. 15
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
Carnevale F, de Lafuente V, Romo R, et al. (2013) The role of neural correlations in a decision-making task Bmc Neuroscience. 14
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
Manrique J, Renart A, de la Rocha J, et al. (2011) Scaling of temporal correlations in densely connected networks of LIF neurons Bmc Neuroscience. 12
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