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Concept

Behavioral addiction

Publications associées (27)

Unveiling the complexity of learning and decision-making

Wei-Hsiang Lin

Reinforcement learning (RL) is crucial for learning to adapt to new environments. In RL, the prediction error is an important component that compares the expected and actual rewards. Dopamine plays a critical role in encoding these prediction errors. In my ...

EPFL2024

Involvement of prelimbic cortex neurons and related circuits in the acquisition of a cooperative learning by pairs of rats

Maria del Carmen Sandi Perez, Elias Georges Gebara

Social behaviors such as cooperation are crucial for mammals. A deeper knowledge of the neuronal mechanisms underlying cooperation can be beneficial for people suffering from pathologies with impaired social behavior. Our aim was to study the brain activit ...

Springer2024

GABAergic-like dopamine synapses in the brain

Maria Reva

Dopamine synapses play a crucial role in volitional movement and reward-related behaviors, while dysfunction of dopamine synapses causes various psychiatric and neurological disorders. Despite this significance, the true biological nature of dopamine synap ...

2023

Transcriptomic analysis reveals mitochondrial pathways associated with distinct adolescent behavioral phenotypes and stress response

Maria del Carmen Sandi Perez, Dogukan Hazar Ülgen

Adolescent individuals exhibit great variability in cortical dynamics and behavioral outcomes. The developing adolescent brain is highly sensitive to social experiences and environmental insults, influencing how personality traits emerge. A distinct patter ...

2023

An immersive virtual reality system for ecological assessment of peripersonal and extrapersonal unilateral spatial neglect

Olaf Blanke, Andrea Serino, Roberta Ronchi, Ravi Tej Sai Giridhar Tadi

BackgroundUnilateral spatial neglect (USN) is a debilitating neuropsychological syndrome that often follows brain injury, in particular a stroke affecting the right hemisphere. In current clinical practice, the assessment of neglect is based on old-fashion ...

BioMed Central2023

Striatal Dopamine Signals and Reward Learning

Carl Petersen, Sylvain Crochet, Yanqi Liu, Parviz Ghaderi, Christos Sourmpis, Pol Bech Vilaseca, Mauro Pulin, Anthony Pierre Robert Renard, Meriam Malekzadeh, Robin François Virginien Dard

We are constantly bombarded by sensory information and constantly making decisions on how to act. In order to optimally adapt behavior, we must judge which sequences of sensory inputs and actions lead to successful outcomes in specific circumstances. Neuro ...

Oxford Univ Press2023

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Wulfram Gerstner, Johanni Michael Brea, Kerstin Preuschoff, Alireza Modirshanechi, Marco Philipp Lehmann, Vasiliki Liakoni

Learning how to reach a reward over long series of actions is a remarkable capability of humans, and potentially guided by multiple parallel learning modules. Current brain imaging of learning modules is limited by (i) simple experimental paradigms, (ii) e ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Mapping of Structure-Function Age-Related Connectivity Changes on Cognition Using Multimodal MRI

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

The relationship between age-related changes in brain structural connectivity (SC) and functional connectivity (FC) with cognition is not well understood. Furthermore, it is not clear whether cognition is represented via a similar spatial pattern of FC and ...

FRONTIERS MEDIA SA2022

Assortment optimization using an attraction model in an omnichannel environment

Ralf Seifert, Andrey Vasilyev, Sebastian Maier

Making assortment decisions is becoming an increasingly difficult task for many retailers worldwide as they implement omnichannel initiatives. Discrete choice modeling lies at the core of this challenge, yet existing models do not sufficiently account for ...

2023

Dopamine Dynamics in Reward-based Learning

Jun Huang

Dopamine signals are thought to be important for reward-based learning and appear to play important roles in regulating synaptic plasticity in the nucleus accumbens and the striatum. However, the precise neuronal circuit mechanisms underlying the learning ...

EPFL2022

Reward boosts reinforcement-based motor learning

Friedhelm Christoph Hummel, Pierre Theopistos Vassiliadis

Besides relying heavily on sensory and reinforcement feedback, motor skill learning may also depend on the level of motivation experienced during training. Yet, how motivation by reward modulates motor learning remains unclear. In 90 healthy subjects, we i ...

Cell Press2021

Risk prediction error signaling: A two-component response?

Michael Herzog, Kerstin Preuschoff, Ophélie Gladys Favrod, Marc Michael Lauffs

Organisms use rewards to navigate and adapt to (uncertain) environments. Error-based learning about rewards issupported by the dopaminergic system, which is thought to signal reward prediction errors to make adjustmentsto past predictions. More recently, t ...

2020

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

He Xu

In reinforcement learning (RL), an agent makes sequential decisions to maximise the reward it can obtain from an environment. During learning, the actual and expected outcomes are compared to tell whether a decision was good or bad. The difference between ...

EPFL2020

Capturing drinking and nightlife behaviours and their social and physical context with a smartphone application - investigation of users' experience and reactivity

Daniel Gatica-Perez, Darshan Santani

Background: Many addictive behaviours are influenced by the context in which they occur, but methods for simultaneously capturing the characteristics of a behaviour and its context are scarce. This study describes a smartphone application developed to docu ...

TAYLOR & FRANCIS LTD2020

Cortical circuits for transforming whisker sensation into goal-directed licking

Carl Petersen, Sylvain Crochet, Vahid Esmaeili, Georgios Foustoukos, Keita Tamura, Anastasiia Oryshchuk

Animals can learn to use sensory stimuli to generate motor actions in order to obtain rewards. However, the precise neuronal circuits driving learning and execution of a specific goal-directed sensory-to-motor transformation remain to be elucidated. Here, ...

2020

Study of brain metabolic dysfunctions in animal models of mood disorder using magnetic resonance spectroscopy

Antoine Timothée Cherix

Mood disorders, in particular depression, are a major burden of our society. Due to the poor knowledge of the biological basis of these diseases, classification remains based on arbitrary symptomatic parameters. As a result, the existing pharmacological tr ...

EPFL2020

Neuropharmacology of the mesolimbic system and associated circuits on social hierarchies

Maria del Carmen Sandi Perez, Sriparna Ghosal

Most socially living species are organized hierarchically, primarily based on individual differences in social dominance. Dominant individuals typically gain privileged access to important resources, such as food, mating partners and territories, whereas s ...

2019

Time course of prediction errors in sequential decision making

Michael Herzog, He Xu

In reinforcement learning, an agent makes sequential decisions to maximize reward. During learning, the actual and expected outcome are compared to tell whether a decision was good or bad. The difference between the actual outcome and expected outcome is t ...

2018

Recommender Systems for Healthy Behavior Change

Onur Yürüten

Sedentary lifestyles and bad eating habits influence the onset of many serious health problems. Healthy behavior change is an arduous task, and requires a careful planning. In this thesis, we propose that behavior recommenders can help their users achieve ...

EPFL2017

Hierarchical status predicts behavioral vulnerability and nucleus accumbens metabolic profile following chronic social defeat stress

Rolf Gruetter, Maria del Carmen Sandi Perez, Hongxia Lei, João Pedro de Matos Rodrigues, Antoine Timothée Cherix, Thomas Didier Larrieu

Extensive data highlight the existence of major differences in individuals’ susceptibility to stress [1; 2; 3 ; 4]. While genetic factors [5 ; 6] and exposure to early life stress [7 ; 8] are key components for such neurobehavioral diversity, intriguing ob ...

2017