Rapidly Reconfigurable Dynamic Computing in Neural Networks with Fixed Synaptic Connectivity
Kai Mason, Sonia Sennik, Claudia Clopath A, Aaron Gruber, Wilten Nicola
This paper proposes that neural networks can learn by modulating neuron excitability instead of changing synaptic strengths, enabling task switching and robustness against interference.
Communications Biology · Sep 25, 2026Peer-reviewedNeuroscience