DENDRITE

Cellular and circuit determinants of dendritic computation

Coordinatore	UNIVERSITY COLLEGE LONDON    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	2˙416˙078 €
EC contributo	2˙416˙078 €
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-2009-AdG
Funding Scheme	ERC-AG
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-06-01   -   2016-05-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY COLLEGE LONDON  Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT contact info Titolo: Ms. Nome: Greta Cognome: Borg-Carbott Email: send email Telefono: +44 2 031083033 Fax: +44 2 078132849	UK (LONDON)	hostInstitution	2˙416˙078.00
2	UNIVERSITY COLLEGE LONDON  Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT contact info Titolo: Prof. Nome: Michael Andreas Cognome: Hausser Email: send email Telefono: 442077000000 Fax: 442077000000	UK (LONDON)	hostInstitution	2˙416˙078.00

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 Obiettivo del progetto (Objective)

'What is the fundamental unit of computation in the brain? Answering this question is crucial not only for understanding how the brain works, but also for building accurate models of brain function, which require abstraction based on identification of the essential elements for carrying out computations relevant to behaviour. We will directly test the possibility that single dendritic branches may act as individual computational units during behaviour, challenging the classical view that the neuron is the fundamental unit of computation. We will address this question using a combination of electrophysiological, anatomical, imaging, molecular, and modeling approaches to probe dendritic integration in pyramidal cells and Purkinje cells in mouse cortex and cerebellum. We will define the computational rules for integration of synaptic input in dendrites by examining the responses to different spatiotemporal patterns of excitatory and inhibitory inputs. We will use computational modeling to extract simple rules describing dendritic integration that captures the essence of the computation. Next, we will determine how these rules are engaged by patterns of sensory stimulation in vivo, by using various strategies to map the spatiotemporal patterns of synaptic inputs to dendrites. To understand how physiological patterns of activity in the circuit engage these dendritic computations, we will use anatomical approaches to map the wiring diagram of synaptic inputs to individual dendrites. Finally, we will manipulate dendritic function using molecular tools, in order to provide causal links between specific dendritic computations and sensory processing. These experiments will provide us with deeper insights into how single neurons act as computing devices, and how fundamental computations that drive behaviour are implemented on the level of single cells and neural circuits.'