Skip to main content

Or 34,00 After 66% tax deduction

I make a monthly donation I make an IFI donation
Imagerie cérébrale Rebola

CENSOR

Cellular Mechanisms of Sensory Processes

Portrait Nelson Rebola
REBOLA Nelson

PhD, Team Leader, PI, CNRS

Team presentation

The human brain contains billions of neurons connected by an even greater number of synapses. A central challenge in neuroscience is to understand how activity within these vast networks gives rise to perception and behavior. Our laboratory studies the cellular and circuit mechanisms that support sensory perception, with a particular emphasis on how context and internal brain state shape the way sensory information is processed.

Sensory processing during wakefulness unfolds under constantly changing conditions—from the low arousal of quiet mind-wandering to the heightened vigilance required for precise, goal-directed actions. Yet sensory systems remain highly adaptive, flexibly adjusting how incoming information is encoded depending on context and state. This state-dependent flexibility is a hallmark of healthy cortical computation. When it is disrupted, it is linked to neuropsychiatric conditions such as schizophrenia and depression. The cellular and synaptic mechanisms that enable this flexibility, however, are still not fully understood.

To tackle these questions, we combine experimental and computational approaches, including electrophysiology, two-photon calcium imaging, optogenetics (in vivo and in vitro), and computational modeling. Our work focuses primarily on mouse primary visual and somatosensory cortex, where we aim to identify new cellular and synaptic mechanisms that govern cortical information processing.

Ultimately, we seek to determine how these mechanisms are altered in pathological brain states and to pinpoint molecular and circuit-level targets that could inform future therapeutic strategies.

Main publications

Main publications

Team members

Portrait Nelson Rebola
REBOLA Nelson

PhD, Team Leader, PI, CNRS

ZERLAUT Yann

CPJ, PI