Alfredo Fontanini

The paper investigates how linear and categorical coding neurons in the mouse gustatory cortex contribute to population dynamics and behavior during taste decision-making.

This study shows that activation of δ-GABAARs in the gustatory cortex reduces sweet taste preference in adult mice by altering sucrose sensitivity.

This study shows that learning improves decision-related neural activity in the mouse gustatory insular cortex during taste discrimination tasks.

This study investigates the synaptic properties of thalamocortical inputs to the rat gustatory insular cortex, revealing unique mechanisms of inhibitory gating and circuit organization.

This study analyzes metastable dynamics in mouse gustatory cortex during decision-making and shows how these dynamics encode sensory and decision information over time.

The paper shows that early taste experience in mice affects adult sucrose preference through changes in insular cortex circuitry and inhibitory plasticity.

This study uses calcium imaging to show that taste representations in the gustatory insular cortex of awake mice are sparse and distributed, lacking spatial clustering or topography.

The paper shows that long-term depression (LTD) at amygdalocortical synapses mediates conditioned taste aversion learning in rats.

This study shows that the gustatory insular cortex in mice is crucial for decision-making during a taste-based reward task, with cognitive signals during a delay period driving behavior.

The paper proposes a computational mechanism explaining how expectation accelerates sensory coding in the gustatory cortex of rats by modulating metastable activity.

This study shows that dopamine depletion in the motor cortex of mice impairs preparatory activity and delays licking initiation, linking dopaminergic signaling to motor deficits.

This study examines how neural activity dimensionality changes in alert rats during ongoing and stimulus-evoked activity in the sensory cortex, finding that dimensionality grows faster during ongoing activity and is influenced by network structure and correlations.