Sergio Solinas

Recent advances in physical reservoir computing: A review

The cerebellum and cognition

The role of the cerebellum in multiple sclerosis—150 years after Charcot

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

NMDA Receptors with Incomplete Mg²⁺Block Enable Low-Frequency Transmission through the Cerebellar Cortex

Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

NMDA receptor subunit diversity: impact on receptor properties, synaptic plasticity and disease

The Fibroblast Growth Factor signaling pathway

Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks

The cerebellar Golgi cell and spatiotemporal organization of granular layer activity

Integration and regulation of glomerular inhibition in the cerebellar granular layer circuit

Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization

Long-term inactivation particle for voltage-gated sodium channels

Timing in the cerebellum: oscillations and resonance in the granular layer

The cerebellar network: From structure to function and dynamics

Theta-Frequency Resonance at the Cerebellum Input Stage Improves Spike Timing on the Millisecond Time-Scale

Fast-reset of pacemaking and theta-frequency resonance patterns in cerebellar golgi cells: Simulations of their impact in vivo

Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells

A Hybrid Model for the Computationally-Efficient Simulation of the Cerebellar Granular Layer

Local Field Potential Modeling Predicts Dense Activation in Cerebellar Granule Cells Clusters under LTP and LTD Control

Computational reconstruction of pacemaking and intrinsic electroresponsiveness in cerebellar golgi cells

Realistic modeling of neurons and networks: towards brain simulation.

A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties