CONEURON

Drawing neuronal circuits without seeing them

 Coordinatore FUNDACIO SANT JOAN DE DEU 

 Organization address address: Calle Santa Rosa
city: Esplugues de Ll
postcode: 8950

contact info
Titolo: Mr.
Nome: Jose
Cognome: De Dios
Email: send email
Telefono: 34936009751

 Nazionalità Coordinatore Spain [ES]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 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)
 Code Call FP7-PEOPLE-2010-RG
 Funding Scheme MC-IRG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-04-01   -   2015-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    FUNDACIO SANT JOAN DE DEU

 Organization address address: Calle Santa Rosa
city: Esplugues de Ll
postcode: 8950

contact info
Titolo: Mr.
Nome: Jose
Cognome: De Dios
Email: send email
Telefono: 34936009751

ES (Esplugues de Ll) coordinator 100˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

patterns    psychological    data    computational    phenomena    visual    mechanisms    time    framework    techniques    circuits    underlay    perception    neuronal    recording   

 Obiettivo del progetto (Objective)

'Recently, some of the neuronal correlates of high level cognitive functions, such as decision making, working memory, visual perception and attention, have been uncovered. Neurophysiologists, powered with new recording techniques, are obtaining crucial information about the neuronal mechanisms that underlay the perception of the objects, confidence in our decisions or our perception of time. With these neuronal recording techniques, we are for the first time in a position to unravel some of the complex mechanisms that underlay basic psychological phenomena. However, the interpretation of the data is often difficult due to their richness and complexity, and a theoretical framework that would allow interpreting these neuronal data coherently is still lacking.

To describe and understand the complex, high dimensional neuronal data arising from state of the art recording techniques and being able to link them to behavior, we will develop a new mathematical framework that is algorithmically efficient and at the same time incorporates our knowledge about neuronal electrophysiology. In this multidisciplinary project we will combine computational neuroscience with the analysis of neuronal data to (a) understand how neuronal networks can generate non-trivial behaviours, (b) predict neuronal connectivity from the observed activity patterns, and (c) correlate activity patterns to psychological phenomena.

We will analyze and model data from multielectrode recordings in monkey primary visual cortex using state of the art and our own developments of analytical, computational and simulation techniques in order to address the fundamental question of how neurons interact to lead to complex activity patterns. This project will lead to a novel technique for ‘drawing neuronal circuits without seeing them’, and migth have important consequences for understanding mental disorders originated in defects of neuronal circuits.'

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