Exécution de notre outil de synthèse sur un nouvel article

Résumé : Neuromodulation, the modulation of excitability through the regulation of neuronal parameters, is a key tool in neuromorphic control design. This paper investigates how spiking excitability can be modulated by intrinsic noise. Focusing on a simplified memristive neuron model, we show that intrinsic noise plays distinct functional roles depending on the feedback pathways: Intrinsic noise in the fast excitatory feedback shapes the nature of excitability and modulates the sensitivity of the neuron to external/internal stimuli, whereas that in the slow inhibitory feedback provides internal stimuli that can trigger stochastic spiking. We expect these findings to guide the design of neuromorphic systems that harness intrinsic noise to exploit beneficial stochastic phenomena, such as stochastic resonance.