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AMYGDALA-ELECTROPHYS SIGNED

Interrogating Basolateral Amygdala Activity during Social Behaviour at Single-Cell and Population Levels

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EC-Contrib. €

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Project "AMYGDALA-ELECTROPHYS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 224˙933 €
 EC max contribution 224˙933 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2021-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 224˙933.00

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 Project objective

The accurate perception and interpretation of social stimuli is crucial for survival in social species including rodents, primates and humans. Before deciding whether to mate, fight or avoid, an animal must process multisensory cues to activate an internal representation of the social environment that answers key questions (Sex? Age? Friend? Foe? Previously encountered?). Little is known about how the brain develops and activates this representation. We will focus on the role of neuronal firing in the basolateral amygdala complex (BLA) in processing and integrating social cues.

In the first stage of this research, we will use neuropixel silicon probes to conduct large-scale recordings of the BLA in rats during social interaction with conspecifics (juvenile rats, male rats and female rats). We can record from large populations of neurons across weeks in freely-moving rats during social interaction. Second, by analysing the activity of single neurons in the BLA, we can characterize the specificity and responsivity of single neurons to social interaction and understand the mitigating factors (gender of conspecific, sexual receptivity, age, previous history). Third, we can decode the population activity of the BLA during social activity to understand how BLA connectivity changes during social interaction and with experience. Finally, we will use optical tagging of anatomically-defined ensembles of BLA neurons to understand how BLA projections code for specific properties of social activity. Success in this project will provide an understanding of how neural computation occurs within the BLA.

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The information about "AMYGDALA-ELECTROPHYS" are provided by the European Opendata Portal: CORDIS opendata.

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