Stefano Panzeri

This paper provides theoretical and experimental evidence that choice-related neural signals depend on stimulus information content, introducing new methods and models to better assess neuron contributions to perceptual decisions.

This paper develops and validates EEG proxies derived from point-neuron network models to accurately estimate EEG signals for comparison with experimental data.

This study maps visual information flow between cortical layers in macaque V1 and V4 and shows how attention modulates this communication.

This paper develops eFOV-microendoscopes for high-resolution two-photon imaging in awake mice, showing improved signal-to-noise ratio and precise neuronal activity evaluation.

This study shows that disrupting the left inferior parietal lobule impairs the ability to infer intentions from movement kinematics, while leaving kinematic discrimination unaffected.

The paper shows that the Hurst exponent from fMRI BOLD signals indexes synaptic excitation-inhibition ratio, revealing sex-specific E:I imbalance in autistic mice medial prefrontal cortex.

The paper uses synthetic odors to uncover how neural activity patterns relate to olfactory perception by analyzing spatial and temporal coding.

The paper identifies distinct ensembles in the locus coeruleus that evoke different cortical states in rats using non-negative matrix factorization.

This paper introduces a new measure, Feature-specific Information Transfer (FIT), to quantify feature-specific information flow between neuronal signals and validates it using simulated and real data.

The paper introduces an algorithm to determine if neuronal representations are categorical or mixed and applies it to primate orbitofrontal cortex data during economic decisions, finding categorical encoding of decision variables.

The paper maps spatiotemporal dynamics of resting-state fMRI activity in mice, revealing recurring brain states with oscillatory dynamics and altered states in autism-associated genetic alterations.

This paper demonstrates how spiking neuron networks with moderate recurrent interactions generate a spectrum of non-rhythmic waking states in the neocortex, showing how different states encode presynaptic activity or afferent input strength.

This study investigates the neuromodulatory function of the locus coeruleus in rats, finding that most LC neurons do not synchronize and that synchronized activity is restricted to specific projection patterns.

The paper investigates how local speech encoding and functional connectivity contribute to audio-visual speech integration using MEG data, finding that enhanced connectivity, not local encoding, predicts the benefit of visual speech cues.

The paper extends the understanding of decision-related signals in sensory neurons by analyzing their dependence on stimuli, choice bias, and feedback, providing new analytical tools for studying perceptual decisions.

This study shows that homozygous loss of CNTNAP2 in mice reduces prefrontal and midline brain functional connectivity, linking it to autism-related traits.

The paper shows the N170 ERP reflects cross-hemispheric transfer of visual features, not just local processing.