Claudia Clopath

TL;DR: Reduced and detailed spiking models are used to elucidate how synaptic connectivity affects the contribution of these mechanisms to pattern separation in cerebellar cortex and show that sparse synaptic connectivity is essential for separating spatially correlated input patterns over a wide range of network activity.

TL;DR: Biophysical models of pyramidal neurons are constructed that reproduce observed plasticity gradients along the dendrite and show that dendritic spike dependent LTP which is predominant in distal sections can prolong memory retention.

TL;DR: It is shown that inhibitory synapses from parvalbumin and somatostatin expressing interneurons undergo long-term depression and potentiation respectively (PV- iLTD and SST-iLTP) during physiological activity patterns.

TL;DR: This work investigates the spatial scale of homeostatic changes in spine size following sensory deprivation in a subset of inhibitory and excitatory neurons in mouse visual cortex and shows that such a compartmentalized form of synaptic scaling has computational benefits over cell-wide scaling for information processing within the cell.

TL;DR: It is found that the an adaptive Exponential Integrate-and-Fire model is able to accurately predict both subthreshold fluctuations and the exact timing of spikes, reasonably close to the limits imposed by the intrinsic reliability of pyramidal neurons.