MEMORYCODES

Time and experience dependent evolution of hippocampal memory codes

 Coordinatore WEIZMANN INSTITUTE OF SCIENCE 

 Organization address address: HERZL STREET 234
city: REHOVOT
postcode: 7610001

contact info
Titolo: Ms.
Nome: Gabi
Cognome: Bernstein
Email: send email
Telefono: +972 8 934 4026
Fax: +972 8 934 4165

 Nazionalità Coordinatore Israel [IL]
 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-2013-CIG
 Funding Scheme MC-CIG
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-06-01   -   2018-05-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    WEIZMANN INSTITUTE OF SCIENCE

 Organization address address: HERZL STREET 234
city: REHOVOT
postcode: 7610001

contact info
Titolo: Ms.
Nome: Gabi
Cognome: Bernstein
Email: send email
Telefono: +972 8 934 4026
Fax: +972 8 934 4165

IL (REHOVOT) coordinator 100˙000.00

Mappa


 Word cloud

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deep    populations    behaving    cells    months    neurons    hippocampal    evolution    brain    imaging    resolution    data    coding    memory    learning    time    neuronal    structures    obtain   

 Obiettivo del progetto (Objective)

'Following initial learning, information stored in memory undergoes a time- and experience-dependent evolution. Currently, the nature of this evolution at the neuronal ensemble level remains largely unknown. To obtain insight into this dynamic process there is a need to follow memory-associated neuronal representations in large populations of single cells over long periods of time. However, until recently it has been nearly technically impossible to obtain the requisite data. In my postdoctoral work I have developed an experimental system that enables such investigation by longitudinally imaging neuronal activity in more than 1,000 neurons simultaneously in the hippocampus of freely behaving rodents over the course of months. To enable high-speed imaging at cellular resolution in deep brain structures, my system combines four recent technical advances: (i) miniaturized head-mounted fluorescence microscopes for use in freely behaving mice; (ii) microendoscope probes, for high-resolution imaging of cells in deep brain structures pertinent to long-term memory; (iii) a chronic mouse preparation that permits longitudinal imaging over months of individual neurons lying deep in the brain; (iv) genetically encoded Ca2 indicators to report neuronal activity. To investigate the principles of neural coding of long-term memory and their underlying biological mechanisms, my lab will combine this imaging methodology with genetic tools for manipulating neuronal activity in specific hippocampal cell types, and novel computational methods for analyzing data from large-scale neuronal populations. This proposal aims to determine how hippocampal place coding evolves as a function of learning and passage of time, and how adult neurogenesis shapes hippocampal information processing. Our results may have profound implications to our understanding of long-term memory and to the study of brain disorders, such as Alzheimer disease and age-related memory loss.'

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