CORTEX SIMPLEX

Function and computation in three-layer cortex

 Coordinatore MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V. 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Germany [DE]
 Totale costo 2˙496˙111 €
 EC contributo 2˙496˙111 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2012-ADG_20120314
 Funding Scheme ERC-AG
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-02-01   -   2018-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.

 Organization address address: Hofgartenstrasse 8
city: MUENCHEN
postcode: 80539

contact info
Titolo: Dr.
Nome: Antje
Cognome: Berken
Email: send email
Telefono: +49 69 850033 2002
Fax: +49 69 850033 19

DE (MUENCHEN) hostInstitution 2˙496˙111.00
2    MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.

 Organization address address: Hofgartenstrasse 8
city: MUENCHEN
postcode: 80539

contact info
Titolo: Prof.
Nome: Gilles Jean
Cognome: Laurent
Email: send email
Telefono: +49 69 5068202000
Fax: +49 69 5068202002

DE (MUENCHEN) hostInstitution 2˙496˙111.00

Mappa


 Word cloud

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

brain    reptiles    cortical    periods    neocortex    evolved    vivo    mammals    computation    modular    closest    contains    visual    layers    cortices    olfactory    reptilian    cortex    simpler   

 Obiettivo del progetto (Objective)

'Understanding brain function is one of the outstanding challenges of modern biology. Many studies focus on mammalian neocortex, a modular and versatile structure that operates equally well with different sensory inputs and for perception, planning as well as action. Neocortex, however, is remarkably complex. It contains many cell types, six layers, networks with local and long-range connections, and its study is technically challenging. We propose here to address central issues of cortical computation using a simpler experimental system. Neocortex evolved from a more primitive cortex, likely present in the ancestors of all amniotes. Extant reptiles are closest to this putative ancestor: their cortex contains only three layers, two of which are nearly exclusively neuropilar. Reptilian cortex is also closest to mammals’ old cortices (piriform and hippocampus). Like in mammals, reptilian cortex is modular. Its design, however, is considerably simpler and more ubiquitous than in mammals. Indeed, so far as we know, reptilian primary olfactory and visual cortices are very similar to one another. Finally, certain reptiles such as turtles have evolved biochemical and metabolic adaptations to resist long periods of anoxia. Thus, their brains can be studied ex vivo over long periods, giving experimenters access to the entire brain with an intact retina or nasal epithelium. We will use this system to study cortical computation, primarily in visual and olfactory areas. Using electrophysiological, imaging, molecular, behavioral and computational methods, we will discover the representational strategies of these two cortices in vivo, the functional architecture of their microcircuits and the computations that they carry out. This understanding of generic and ancient units of cortical computation will illuminate our studies of more complex and sophisticated cortical circuits.'

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