CORMEL

Cortical Mechanisms of Exploratory Learning

 Coordinatore  

 Organization address address: Raemistrasse 71
city: ZURICH
postcode: 8006

contact info
Titolo: Prof.
Nome: Christian
Cognome: Ruff
Email: send email
Telefono: +41 44 6345067
Fax: +41 44 6344907

 Nazionalità Coordinatore Non specificata
 Totale costo 192˙622 €
 EC contributo 1˙926 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-02-01   -   2016-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAET ZUERICH

 Organization address address: Raemistrasse 71
city: ZURICH
postcode: 8006

contact info
Titolo: Prof.
Nome: Christian
Cognome: Ruff
Email: send email
Telefono: +41 44 6345067
Fax: +41 44 6344907

CH (ZURICH) coordinator 192˙622.20

Mappa


 Word cloud

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behavior    direct    decisions    brain    stimulation    learning    explorative    exploration    neural    model    alternative    regions    mechanistic   

 Obiettivo del progetto (Objective)

'In daily life, the trade-off between exploration of alternative opportunities and exploitation of the benefits of the choice at hand is encountered often. While the ability of mammals to switch to explorative courses of action has been extensively studied in machine learning and ethology fields, much less attention in neuroscience has been given to understanding how the brain mediates such decisions in humans. To date, no mechanism has been put forward. The proposed project seeks to understand how communication among neural regions gives rise to switches to explorative behavior, or decisions to take alternative choices about which the reward probabilities are uncertain, during a learning task. The project will use transcranial direct current stimulation to test specific hypotheses about the interactions among cortical regions and their effects on exploratory behavior. Behavior will be modeled using a Bayesian learning algorithm and neural activity before and after stimulation will be measured using functional magnetic resonance imaging. The mechanistic relationships among neural regions and behavior will be examined using dynamic causal modeling , a technique that was developed at the host institution. The results of the project will sketch out a mechanistic model of explorative decision making at the neural systems level. Understanding how brain regions causally interact during exploration will narrow a critical gap in basic neuroscientific knowledge of exploration and exploit. Our approach may also have direct applications to clinical neurology. The temporary inhibition of frontal regions could serve to simulate neuropathological insults resulting in deficits in task switching and stereotyped behaviors. Knowledge gained by studying this model system may then be applied in the development of novel therapeutic strategies.'

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