When one neuron becomes less excitable, its neighbors shift their tuning via lateral inhibition - reshaping the code while keeping downstream readouts stable.

#computationalneuroscience #RNNs #representationaldrift #neuraldynamics

We show how changes in excitability in recurrent networks can drive representational drift - even without changes to synaptic weights.

🔁 Lateral inhibition + slow variations in excitability = representational drift

Representational drift without synaptic plasticity Neural computations support stable behavior despite relying on many dynamically changing biological processes. One such process is representational drift (RD), in which neurons' responses change over ...

When neurons change, but behavior doesn’t: Excitability changes driving representational drift

New preprint of work with Christian Machens: www.biorxiv.org/content/10.1...

We contrast learning and evolution, discrete vs continuous control, and short vs long timescale dynamics as important for delineating the respective roles of different brain systems within an integrative take on the neural control of behavior.

"Time, Control, and the Nervous System" - a nod to Weiner’s "Time, Communication, and the Nervous System" - explores how viewing multiarea brain computations through control theory highlights temporal processing as central to our understanding of multiscale adaptive behavior.

Why treat time as just another sense when it is the scaffold of all behavior?

🔗 doi.org/10.1146/annurev-neuro-112723-025348 with Filipe S. Rodrigues and @jjpaton.bsky.social

#Neuroscience #Timing #MotorControl #BrainDynamics #MultiareaComputation