activity
20052026
most citedInhibitory synchrony as a mechanism for attentional gain modulation

10 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2026

NeuroAI and Beyond: Bridging Between Advances in Neuroscience and Artificial Intelligence

Anthony Zador, Jean-Marc Fellous, Terrence Sejnowski +28

Neuroscience and Artificial Intelligence (AI) have made impressive progress in recent years but remain only loosely interconnected. Based on a workshop convened by the National Sci…

cs.AI2026

NeuroAI and Beyond

Jean-Marc Fellous, Gert Cauwenberghs, Cornelia Fermüller +2

Neuroscience and Artificial Intelligence (AI) have made significant progress in the past few years but have only been loosely inter-connected. Based on a workshop held in August 20…

cs.AR2024

Sparsity-Aware Hardware-Software Co-Design of Spiking Neural Networks: An Overview

Ilkin Aliyev, Kama Svoboda, Tosiron Adegbija +1

Spiking Neural Networks (SNNs) are inspired by the sparse and event-driven nature of biological neural processing, and offer the potential for ultra-low-power artificial intelligen…

q-bio.NC2016★ 8 cited

Dopamine modulation of prefrontal delay activity-reverberatory activity and sharpness of tuning curves

Gabriele Scheler, Jean-Marc Fellous

Recent electrophysiological experiments have shown that dopamine (D1) modulation of pyramidal cells in prefrontal cortex reduces spike frequency adaptation and enhances NMDA transm…

q-bio.NC2005★ 10 cited

Inhibitory synchrony as a mechanism for attentional gain modulation

Paul H. E. Tiesinga, Jean-Marc Fellous, Emilio Salinas +2

Recordings from area V4 of monkeys have revealed that when the focus of attention is on a visual stimulus within the receptive field of a cortical neuron, two distinct changes can…