Stefano Ferraina

This study shows that the premotor cortex encodes a mental line for transitive inference, with neural activity reflecting symbolic distances and learning through geometric transformations.

This paper trains a generative model on neural data to reveal violations of the Independent Race Model's assumptions in a stop task.

This paper introduces a biophysically plausible decision-making model using interacting neural populations in cortical layer 2/3, tested on human and macaque experiments.

This study examines how the COMT Val158Met polymorphism affects learning efficiency in a transitive inference task, showing Val homozygotes take longer to learn hierarchical relationships.

This study shows that numerical distance affects motor decisions in a Stop Signal task, with larger distances improving response speed and stopping performance.

The paper uses an RNN model to replicate motor inhibition dynamics in monkey premotor cortex, showing how internal network states influence behavior and movement suppression.

The paper investigates how oscillatory activity in the premotor cortex reflects the integration of perceptual and mnemonic information during decision-making.

This study investigates how stopping a planned gait initiation affects postural control and identifies biomechanical thresholds influencing movement suppression.

This paper introduces a spatio-temporal transformer to decode neural movement control from single-neuron spiking activity in non-human primates, achieving early movement direction prediction and stop signal anticipation.

The paper uses force monitoring in a stop signal task to show that higher initial force delays movement generation and aids inhibition.

The paper investigates whether the brain operates near a synchronization critical point during cognitive tasks or only during resting wakefulness, finding critical dynamics in the awake state during resting periods.

This paper models how the brain computes delayed consequences in decision-making without explicit feedback, showing how neural dynamics and learning mechanisms adapt over time.

The paper analyzes mesoscopic neural activity in rhesus monkeys during a Stop-signal task to reveal how network topology changes during response inhibition.

This study investigates neuronal dynamics in non-human primates during motor plan cancellation, finding that inhibition and position holding involve confined neuronal activity in a subspace, while movement execution requires transitioning to an orthogonal subspace.

The paper investigates neuronal dynamics in macaque dorsal premotor cortex during movement inhibition and finds that movement cancellation involves subspace evolution inversion, influenced by specific behavioral strategies.

This study investigates how the salience of a stop-signal affects neural dynamics of controlled inhibition in macaque monkeys, showing that less salient signals impair inhibitory performance.