A Computational Theory for the Learning of Equivalence Relations

Por Lew, Sergio E., Zanutto, B. Silvano
Publicado em 2011

Dopamine Modulation of GABAergic Function Enables Network Stability and Input Selectivity for Sustaining Working Memory in a Computational Model of the Prefrontal Cortex

Por Lew, Sergio E, Tseng, Kuei Y
Publicado no Neuropsychopharmacology (2014)

High mutual cooperation rates in rats learning reciprocal altruism: The role of payoff matrix

Por Delmas, Guillermo E., Lew, Sergio E., Zanutto, B. Silvano
Publicado no PLoS One (2019)

Cortical response states for enhanced sensory discrimination

Por Gutnisky, Diego A, Beaman, Charles, Lew, Sergio E, Dragoi, Valentin
Publicado no eLife (2017)

Plasticity in the Rat Prefrontal Cortex: Linking Gene Expression and an Operant Learning with a Computational Theory

Por Rapanelli, Maximiliano, Lew, Sergio Eduardo, Frick, Luciana Romina, Zanutto, Bonifacio Silvano
Publicado em 2010

Spontaneous Fluctuations in Visual Cortical Responses Influence Population Coding Accuracy

Por Gutnisky, Diego A., Beaman, Charles B., Lew, Sergio E., Dragoi, Valentin
Publicado no Cereb Cortex (2017)

Differential representation of sunflower ESTs in enriched organ-specific cDNA libraries in a small scale sequencing project

Por Fernández, Paula, Paniego, Norma, Lew, Sergio, Hopp, H Esteban, Heinz, Ruth A
Publicado em 2003

Efficient enhancement of information in the prefrontal cortex during the presence of reward predicting stimuli

Por Mininni, Camilo J., Caiafa, César F., Zanutto, B. Silvano, Tseng, Kuei Y., Lew, Sergio E.
Publicado no PLoS One (2017)

Putative dopamine neurons in the ventral tegmental area enhance information coding in the prefrontal cortex

Por Mininni, Camilo J., Caiafa, César F., Zanutto, B. Silvano, Tseng, Kuei Y., Lew, Sergio E.
Publicado no Sci Rep (2018)