Nestor Parga, Ph D
Affiliations: | Theoretical Physics | Universidad Autónoma de Madrid, Madrid, Comunidad de Madrid, Spain |
Area:
Computational Neuroscience, Theoretical NeuroscienceGoogle:
""author:parga author:nestor""Mean distance: 15.36 (cluster 6)
Cross-listing: Computational Biology Tree
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Sign in to add trainee| Ruben Moreno-Bote | grad student | ||
| Alfonso Renart | grad student | 1996-2001 | Universidad Autónoma de Madrid, Spain |
| Jaime de la Rocha | grad student | 1998-2004 | Universidad Autónoma de Madrid, Spain |
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Publications
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| Sarno S, Beirán M, Falcó-Roget J, et al. (2022) Dopamine firing plays a dual role in coding reward prediction errors and signaling motivation in a working memory task. Proceedings of the National Academy of Sciences of the United States of America. 119 |
| 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, Barak O, de Lafuente V, et al. (2014) Neural dynamics of perceptual detection under temporal 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 |