collaborators

5 papers

q-bio.NC2026

Spectral theory for population density dynamics of spiking neurons with refractoriness

Luca Falorsi, Gianni Valerio Vinci., Maurizio Mattia

Incorporating an absolute refractory period into the population density approach for spiking neurons remains an open problem, despite evidence that refractoriness can strongly affe…

q-bio.NC2026

Bilinear gating of motor primitives: a principle linking dendritic computation to rapid goal-directed adaptation

Cristiano Capone, Luca Falorsi, Andrea Ciardiello +1

Movement requires the motor cortex to specify both \emph{what} action to produce and \emph{which goal} it serves, yet how individual neurons separate these factors is not understoo…

cs.LG2026

Unified Policy Value Decomposition for Rapid Adaptation

Cristiano Capone, Luca Falorsi, Andrea Ciardiello +1

Rapid adaptation in complex control systems remains a central challenge in reinforcement learning. We introduce a framework in which policy and value functions share a low-dimensio…

cond-mat.dis-nn2025

Non-stationary dynamics of interspike intervals in neuronal populations

Luca Falorsi, Gianni V. Vinci, Maurizio Mattia

We study the joint dynamics of membrane potential and time since the last spike in a population of integrate-and-fire neurons using a population density framework. This leads to a…

q-bio.NC2025

Adaptive behavior with stable synapses

Cristiano Capone, Luca Falorsi

Behavioral changes in animals and humans, as a consequence of an error or a verbal instruction, can be extremely rapid. Improvement in behavioral performances are usually associate…