David Kappel

The paper tracks inhibitory synapses in CA1 pyramidal neurons over time and shows learning induces reorganization of dendritic synapses and stabilization of axonal initial segment synapses.

This study uses a reinforcement learning model to show that global remapping of spatial representations underlies context-dependent behavior renewal.

CoBeL-RL is a simulation framework for modeling complex behavior and learning in neuroscience, offering virtual environments and RL algorithms for efficient simulation and analysis.

This paper applies differential Hebbian learning to active noise reduction, achieving up to -140 dB noise elimination in multi-microphone systems.

The paper proposes that synapses use noise to represent uncertainty about postsynaptic dynamics, showing how this noise enables learning and coordination in neuronal networks.