collaborators

6 papers

cs.LG2026

Lightweight Test-Time Adaptation for EMG-Based Gesture Recognition

Nia Touko, Matthew O A Ellis, Cristiano Capone +3

Reliable long-term decoding of gestures from surface electromyography (EMG) is hindered by signal drift caused by electrode displacement, muscle fatigue, and/or posture changes. Al…

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…

cs.RO2026

Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning

Irene Ambrosini, Ingo Blakowski, Dmitrii Zendrikov +5

Air hockey demands split-second decisions at high puck velocities, a challenge we address with a compact network of spiking neurons running on a mixed-signal analog/digital neuromo…

q-bio.NC2025

State-dependent brain responsiveness, from local circuits to the whole brain

A. Destexhe, J Goldman, N. Tort-Colet +32

The objective of this paper is to review physiological and computational aspects of the responsiveness of the cerebral cortex to stimulation, and how responsiveness depends on the…

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…