M. Voigt

Input-space geometry shapes adaptation dynamics underlying repetition suppression in a neural network model of relatedness priming

A key function of the human brain is its ability to dynamically adapt to novel contexts by integrating prior experience. While neural adaptation is widely observed across cortical systems, the microcircuit-level mechanisms governing its intensity and temporal dynamics remain unclear. To bridge this gap, we develop a re...