Boris Barbour

Boris Barbour is a researcher at the École Normale Supérieure (IBENS) in Paris, France, where he leads the Neuronal Algorithms group. His work bridges cellular neuroscience, neural network modeling, and electrophysiology, with a focus on cerebellar function and synaptic plasticity. He teaches extensively in the Imalis master's program and contributes to international training courses in microelectrode techniques and optical imaging.

• Primary Affiliation: IBENS, École Normale Supérieure, Paris
• Teaching Roles: Organizes M1 course S10 (Synaptic Foundations of Network Function), contributes to M2 Neurophysiology practicals, and co-tutors interdisciplinary neuroscience projects

His research explores ephaptic coupling in cerebellar Purkinje cells via the pinceau structure, combining in vitro, in vivo, and in silico approaches. Key themes include stochastic gradient descent algorithms in cerebellar learning, synaptic weight distributions, and non-synaptic inhibition mechanisms. He has developed open-source tools like a patch-clamp amplifier tutorial and optimized Arduino USB code for experimental setups.

Barbour is a co-organizer of the Paris Spring School and actively contributes to PubPeer for post-publication peer review. His work is supported by the Agence Nationale de la Recherche (ANR) and has produced foundational studies on cerebellar network dynamics, ion channel distribution, and neuronal information processing. Collaborations span institutions in France, the UK, and Japan, with authorship on studies challenging paradigms in synaptic transmission and extracellular impedance research.