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The Group for Neural Theory (GNT) at the École Normale Supérieure in Paris will be celebrating its 20th anniversary with a special workshop.
Register here until May 20 to reserve your place.
PRACTICAL INFORMATION
Motor control, the art of coordinating muscles to produce intricate movements, is a marvel of biological intelligence. Understanding how the brain controls movement represents one of neuroscience's grand challenges. Central to this challenge is proprioception, which proves crucial for bodily perception and motor control, despite remaining poorly understood. Specifically, how the nervous system integrates information from numerous distributed receptors throughout the body remains an open question.
This one-day seminar brings together researchers from cognitive (neuro)science, social psychology, behavioral science, and computational modelling to explore how cognitively informed models of decision-making can advance sustainability and climate action.
The neocortex is organized into functionally specialized areas. W= hile the functions and underlying neural circuitry of individual neocortica= l areas are well studied, it is unclear how these regions operate collectiv= ely to form percepts and implement cognitive processes. In particular, it r=emains unknown how distributed, potentially conflicting computations can be= reconciled. Here we show that the reciprocal excitatory connections betwee= n cortical areas orchestrate neural dynamics to facilitate the gradual emer= gence of a =E2=80=98consensus=E2=80=99 across areas.
Chaotic dynamics can naturally arise in high-dimensional heterogeneous systems of interacting variables, of which a simple example are random Recurrent Neural Networks (RNNs). I will present a simple model for random RNNs which, in some instances of the model, is exactly solvable with Dynamical Mean-Field Theory (DMFT). Even though it is more abstract, I will show that the simple model has the same phenomenology as more standard models.
