Luca Mazzucato

Control of cortical population activity with patterned microstimulation

This paper introduces REACH-Ctrl, a data-driven method for real-time control of cortical population activity using microstimulation and multi-electrode recordings, achieving high accuracy in macaque prefrontal cortex.

Towards model-based design of causal manipulations of brain circuits with high spatiotemporal precision

The paper introduces a method to design spatiotemporal stimulation patterns for neural circuits using dynamical systems and data-driven approaches to improve efficacy and selectivity.

Modulation of metastable ensemble dynamics explains the inverted-U relationship between tone discriminability and arousal in auditory cortex

Complexity as a Potential Neurophysiological Correlate of Awe

This study investigates the neurophysiological correlates of awe using EEG, finding increased complexity in neural signals during awe experiences, though with limited generalization to other datasets.

Spontaneous Dynamics Predict the Effects of Targeted Intervention in Hippocampal Neuronal Cultures

The paper uses experimental and computational methods to show that spontaneous network activity patterns predict the effects of targeted stimulation in hippocampal neuronal cultures.

Probabilistic modeling reveals coordinated social interaction states and their multisensory bases

The paper develops a hidden Markov model to analyze social interactions in zebrafish, revealing two interaction states with distinct sensory bases and temporal dynamics.

Decision-making dynamics are predicted by arousal and uninstructed movements

The paper shows that mice's decision-making states during tasks can be predicted by arousal and uninstructed movements.

A reservoir of timescales in random neural networks

This paper shows random neural networks with self-couplings generate multiple timescales of activity, enabling spectral demixing through cluster-specific entrainment to input components.

Differential encoding of temporal context and expectation under representational drift across hierarchically connected areas

The paper shows that visual areas differentially encode temporal context and expectation in natural scenes, with representational drift observed in lower areas but not higher ones.

Distance estimation from monocular cues in an ethological visuomotor task

This study shows mice use monocular visual cues to judge distance during gap jumping, with visual cortex involvement, and demonstrates how sensory processing couples with motor output in a natural task.

Emergence of persistent and sequential representations in the hippocampal-prefrontal circuitry during associative learning

The paper investigates how neural activity in the hippocampus and medial prefrontal cortex supports temporal association learning in mice through coordinated sequences and persistent representations.

Baseline control of optimal performance in recurrent neural networks

This study investigates how baseline modulations in recurrent neural networks control dynamical phases and achieve optimal performance without fine-tuning recurrent couplings.

Metastable attractors explain the variable timing of stable behavioral action sequences

The paper uses hidden Markov models to show metastable attractors explain variable timing in stable behavioral action sequences in rats.

State-dependent regulation of cortical processing speed via gain modulation

The paper introduces a theoretical framework to predict how cell-type specific top-down perturbations affect cortical processing speed through intrinsic gain modulation, validated using electrophysiological recordings in mice.

A repertoire of foraging decision variables in the mouse brain

The paper identifies a repertoire of decision variables in the mouse brain during foraging, showing that the secondary motor cortex encodes multiple strategies beyond those directly used in the task.

Predicting perturbation effects from resting state activity using functional causal flow

The paper develops a framework to predict the effects of neural perturbations using functional causal flow inferred from resting state activity in monkeys.

Hippocampal network reorganization underlies the formation of a temporal association memory

This study uses 2-photon calcium imaging to show that hippocampal network reorganization underlies temporal association memory formation, challenging theories of persistent activity.

Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli

The paper proposes a computational mechanism explaining how expectation accelerates sensory coding in the gustatory cortex of rats by modulating metastable activity.

Stimuli reduce the dimensionality of cortical activity

This study examines how neural activity dimensionality changes in alert rats during ongoing and stimulus-evoked activity in the sensory cortex, finding that dimensionality grows faster during ongoing activity and is influenced by network structure and correlations.