Matteo di Volo

A mean-field model of neural networks with PV and SOM interneurons reveals connectivity-based mechanisms of gamma oscillations

This paper develops a mean-field model of E-PV-SOM circuits to show that gamma oscillations arise from specific connectivity patterns between cell types.

Prefrontal mechanisms of goal progress inference and monitoring in macaque monkeys

This study investigates neural mechanisms in macaque monkeys for tracking goal progress and rate, showing distinct roles in midcingulate and lateral prefrontal cortex.

Neural dynamics reveal foraging-like computations in the frontal cortex

This study identifies a neural subspace in primate frontal cortex that tracks foraging-like computations, showing both foraging and reinforcement learning signatures.

Biologically realistic mean field model of spiking neural networks with fast and slow inhibitory synapses

The paper presents a mean field model of spiking neural networks with fast and slow inhibitory synapses, showing how GABAB conductance affects gamma oscillations and seizure stability.

A cortical microcircuit model reveals distinct inhibitory mechanisms of network oscillations and stability

The paper introduces a computational model of cortical microcircuits, CAMINOS, showing how different inhibitory neuron types contribute to network oscillations and stability.

Discrete synaptic events induce global oscillations in balanced neural networks

The paper shows that discrete synaptic events can induce global oscillations in balanced neural networks, which are not captured by the diffusion approximation.

Hippocampal gamma oscillations form complex ensembles modulated by behavior and learning

The paper shows that hippocampal gamma oscillations are diverse and behaviorally modulated, challenging the idea of rigid gamma sub-bands.

Coherent oscillations in balanced neural networks driven by endogenous fluctuations

This paper analyzes dynamical regimes in balanced neural networks using QIF neurons, showing that asynchronous activity or periodic oscillations can emerge depending on parameters, with mean field models capturing these behaviors.

Asynchronous and coherent dynamics in balanced excitatory-inhibitory populations

This paper investigates the dynamics of excitatory-inhibitory neural networks, showing how balanced E-I populations can exhibit asynchronous and coherent behaviors, including oscillations and chaos, under different conditions.

Nonlinear collision between anisotropic propagating waves in mouse somatosensory cortex

The paper models activity propagation in mouse somatosensory cortex using VSD imaging and finds that anisotropic wave collisions occur due to heterogeneous synaptic strengths.

A reduction methodology for fluctuation driven population dynamics

The paper introduces a reduction methodology for heterogeneous spiking neural networks using pseudo-cumulants expansion to handle fluctuation-driven dynamics.

Coexistence of fast and slow gamma oscillations in one population of inhibitory spiking neurons

This paper shows that a single inhibitory neuron population can generate both slow and fast gamma oscillations through different mechanisms, and demonstrates how external stimuli can switch between these rhythms.

A state-dependent mean-field formalism to model different activity states in conductance based networks of spiking neurons

The paper introduces a state-dependent mean-field formalism to model activity states in conductance-based neuronal networks, showing it can predict firing rates and population dynamics in different regimes.

A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models

The paper develops a mean-field formalism to predict the collective dynamics of large networks of complex spiking neurons, linking population models to electrophysiology.

Cholinergic switch between two different types of slow waves in cerebral cortex

The paper identifies two types of slow waves in the cerebral cortex, showing they differ in neural dynamics and sensitivity to stimuli, explaining differences in memory consolidation under sleep and anesthesia.

Cortical suppressive waves shape the representation of long-range apparent motion

The paper investigates how suppressive waves in V1 shape the representation of long-range apparent motion using voltage-sensitive dye imaging in monkeys.

Biologically realistic mean-field models of conductance-based networks of spiking neurons with adaptation

The paper develops a mean-field model of spiking neuron networks with adaptation to accurately capture both spontaneous and evoked activity in large-scale neural models.

Circuit-level Mechanisms of EtOH-dependent dopamine release.

This paper models circuit-level mechanisms of ethanol-induced dopamine release from the ventral tegmental area to nucleus accumbens, showing dose-dependent firing changes and the role of synchrony and glutamatergic input.