Cláudio R. Mirasso

The paper maps intrinsic neural timescales across rest and tasks, showing task-induced changes while preserving temporal hierarchy and structural constraints.

The paper presents a deep-learning-assisted simulator of a mouse primary visual cortex model, integrating multimodal data to study circuit function and synaptic organization.

This study shows that NAc-DBS enhances long-term memory encoding without affecting memory recall or working memory in rats.

This paper develops a computational model showing that feedforward and feedback inhibition modulate theta-gamma cross-frequency interactions in a bidirectional manner, with directionality dependent on synaptic strength and circuit structure.

The paper shows that reducing inhibition in the dentate gyrus during learning enhances information processing and pattern separation through synaptic plasticity and computational modeling.

This paper shows that connection delay and frequency detuning between neural populations determine information transfer in brain networks.

This study shows that frequency-dependent delays in brain network interactions influence synchrony, with higher frequencies revealing finer spatial modular structures.

The paper identifies and characterizes distinct theta current generators in the hippocampus and shows their coordinated activity during memory-guided exploration and novelty detection.