Pavel Šanda

This study uses a computational model to show that ion dynamics underlie the temporal structure of resting-state functional connectivity.

This study shows that cholinergic modulation dynamically switches resting-state networks by selectively suppressing the Default Mode Network in both rodent and human models.

The paper develops a method to infer group brain networks from intracranial EEG data, revealing interactions between visual streams and hippocampal connectivity during visual processing.

This study shows that sleep prevents catastrophic forgetting in spiking neural networks by reactivating synaptic weights to maintain multiple task representations.

This study examines the interaction between cortical slow oscillations and hippocampal ripples during sleep using a computational model and human recordings, finding that ripples influence cortical spatiotemporal patterns and synchronize state transitions.

The paper simulates human sleep spindle MEG and EEG by integrating ion channel dynamics and circuit-level neural activity across multiple scales.