Peggy Seriès

Reduced synaptic plasticity and E/I imbalance drive Peripersonal Space boundaries expansion in Schizophrenia

The paper develops a computational model of peripersonal space (PPS) plasticity in schizophrenia, finding that reduced synaptic plasticity mechanisms can explain PPS expansion despite E/I imbalance.

Learning, sleep replay and consolidation of contextual fear memories: A neural network model

This paper introduces a neural network model of contextual fear memory consolidation, incorporating sleep-related processes like replay and synaptic homeostasis to explain memory stabilization and fear generalization.

Scikit-NeuroMSI: A Generalized Framework for Modeling Multisensory Integration

This paper introduces Scikit-NeuroMSI, a Python framework for modeling multisensory integration, demonstrating its use in comparing Bayesian and network models.

Increased excitation enhances the sound-induced flash illusion by impairing multisensory causal inference in the schizophrenia spectrum

This study uses a multisensory causal inference network to show that increased excitation in schizophrenia spectrum individuals enlarges temporal binding windows and increases illusion proneness.

Influence of truthful and misleading instructions on statistical learning across the autism spectrum

The paper investigates how truthful and misleading instructions affect statistical learning in individuals with varying autistic traits, finding that explicit instructions lead to stronger priors regardless of their accuracy, and autistic traits do not influence prior formation.

Action-outcome based flexible behavior requires medial prefrontal cortex lead and its enhanced functional connectivity with dorsomedial striatum

The paper investigates how the medial prefrontal cortex (mPFC) and dorsomedial striatum (DMS) interact during flexible decision-making in mice, finding that mPFC leads in tracking reward probability differences and enhances connectivity with DMS under low reward conditions.

Influence of E/I balance and pruning in peri-personal space differences in schizophrenia: a computational approach

The paper uses computational models to investigate how imbalances in excitation/inhibition and synaptic density affect peri-personal space representation in schizophrenia and high schizotypal individuals.

Inflexible Updating of the Self-Other Divide During a Social Context in Autism; Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

This study investigates PPS remapping in ASD using psychophysical, EEG, and neural network models, finding reduced flexibility due to E/I imbalances.

Acquisition of visual priors and induced hallucinations in chronic schizophrenia

This study investigates perceptual priors and hallucinations in chronic schizophrenia using a visual statistical learning task, finding comparable prior acquisition but reduced hallucinations in patients.

Neuroticism Impairs the Use of Reward Values for Decision-Making in Major Depression

This study shows that neuroticism impairs reward learning and decision-making in major depression patients compared to healthy controls.

Autistic traits, but not schizotypy, predict overweighting of sensory information in Bayesian visual integration

The paper investigates how autistic and schizotypal traits affect Bayesian visual integration, finding that autistic traits are linked to more accurate sensory processing rather than weaker priors.