Input-space geometry shapes adaptation dynamics underlying repetition suppression in a neural network model of relatedness priming
Diletta Bartolini, Thomas Peter Reber, Tatjana Tchumatchenko, Matthias Voigt
The paper investigates how input geometry affects neural adaptation dynamics in a spiking neural network model of relatedness priming.
bioRxiv · Sep 18, 2026 · PreprintNeuroscience