NEUROGAIN
Nonlinear synaptic integration in morphologically simple and complex neurons
| Coordinatore | UNIVERSITY COLLEGE LONDON
Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie. |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 2˙499˙710 € |
| EC contributo | 2˙499˙710 € |
| 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-2011-ADG_20110310 |
| Funding Scheme | ERC-AG |
| Anno di inizio | 2012 |
| Periodo (anno-mese-giorno) | 2012-03-01 - 2017-02-28 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSITY COLLEGE LONDON
Organization address
address: GOWER STREET contact info |
UK (LONDON) | hostInstitution | 2˙499˙710.00 |
| 2 |
UNIVERSITY COLLEGE LONDON
Organization address
address: GOWER STREET contact info |
UK (LONDON) | hostInstitution | 2˙499˙710.00 |
Mappa
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Obiettivo del progetto (Objective)
'Understanding how neurons represent and transform information and perform the computations required to generate complex behaviours is a core aim of neuroscience. Although this knowledge is of fundamental importance and is a prerequisite for understanding many neuronal disorders, the way in which individual neurons process information is poorly understood. This reflects the technical difficulty of measuring rapid synaptic signalling in fine dendritic structures distributed in 3D space. Moreover, defining the transformation between inputs and output firing is complex due to the large number of input combinations involved. To overcome these problems I have recently developed two powerful new tools. A high speed 3D 2-photon acousto-optic lens (AOL) microscope that enables high speed (30 kHz) 3D optical functional imaging with submicron resolution. I will use AOL microscopy with uncaging, electrophysiological and optogenetic approaches to study synaptic integration in cerebellar granule cells, cortical pyramidal cells and fast-spiking interneurons. Comparison of synaptic integration and neuronal computation in these neurons, which include simple and complex morphologies and excitatory and inhibitory cell types, will allow mechanisms to be investigated and principles identified. By measuring [Ca2] and voltage at many locations within 3D dendritic trees, I will map the spatiotemporal properties of synaptic input in 3D and locate and count regenerative events. By applying AOL microscopy, in vitro and in vivo I will elucidate mechanisms and test how information is processed by neurons during sensory input. I have also developed neuroConstruct, a software tool for modelling neurons and large-scale networks in 3D with a high degree of biological detail. By using in vitro and in vivo data to constrain models we will bridge the gap in our understanding between synaptic and neuronal mechanisms and the input-output transformations that morphologically complex neurons perform.'