The Computational Neurophysiology Seminar Series brings together experimental and computational researchers exploring how neural computations emerge from specific biological mechanisms.
CNSS highlights mechanistic approaches to understanding how the interaction of the different components of neural circuits contribute to their emerging dynamics and communication. This includes but is not limited to the roles of cell types, long-range and local synaptic interactions, dendritic processing, and circuit motifs.
CNSS focuses on work that connects computation with implementation, emphasizing:
Cellular mechanisms: dendritic computations, ion channels, receptor dynamics
Circuit motifs: inhibitory and excitatory microcircuits, connectivity patterns
Cell-type specificity: distinct neuronal subtypes and their contributions to computation
Biophysical and modeling approaches: conductance-based modeling, synaptic plasticity, network dynamics
Causal perturbations and electrophysiology: optogenetics, intracellular recordings, and circuit manipulation
Speakers are invited based on their contribution to mechanistic understanding of neural circuits, whether experimental or computational.
Organizer
Javier Alegre-Cortes
MSCA Postdoctoral Fellow, Neuronal circuits and brain dynamics lab
Institut du Cerveau
Format
Frequency: Monthly online seminar
Duration: 45 min talk + 15 min discussion
Audience: Open to the neuroscience community
Location: Online (Zoom / streaming link provided upon registration)
Starting date: Fall 2026
Speakers
First speakers to be announced soon.
CNSS aims to host a diverse mix of experimentalists and theorists whose work embodies the principles of mechanistic, computation-grounded neuroscience.