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SynapSeek SIGNED

Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning.

Total Cost €

0

EC-Contrib. €

0

Partnership

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 SynapSeek project word cloud

Explore the words cloud of the SynapSeek project. It provides you a very rough idea of what is the project "SynapSeek" about.

silico    framework    brain    extraordinary    algorithms    synaptic    unknown    environment    plasticity    published    synapseek    flexible    stimulation    data    meant    protocols    synapses    connectivity    building    time    ranging    incorporate    neural    answer    dubbed    canonical    monitor    weaken    appropriate    handful    similarly    accordingly    structures    expression    how    infer    game    progress    stereotypically    deep    changing    governed    shape    newly    complexity    structure    sheer    hundred    observing    simulations    circuit    mathematical    constraints    measuring    first    chess    types    operation    utilizing    learning    basic    memory    slow    computational    questions    triggered    additional    power    limited    deduce    mechanisms    instrument    circuits    interference    search    network    machine    play    function    cortical    reliably    largely    connection    strengthen    rules    representative    experimentally    integrate    dance    go    mode    difficulty   

Project "SynapSeek" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

Organization address
address: WELLINGTON SQUARE UNIVERSITY OFFICES
city: OXFORD
postcode: OX1 2JD
website: www.ox.ac.uk

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 1˙798˙605 €
 EC max contribution 1˙798˙605 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-COG
 Funding Scheme ERC-COG
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2024-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) coordinator 1˙798˙605.00

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 Project objective

How do we learn to dance, play an instrument, or a game as complex as chess or go? How do we make a memory? The common answer to these questions is “through synaptic plasticity”, through changing the synaptic connectivity of neural circuits so that representative brain activity can be reliably triggered. Such connectivity changes are governed by rules, i.e., synaptic mechanisms which monitor the activity of their environment and stereotypically strengthen or weaken synapses accordingly. The shape and mode of operation of these rules is still largely unknown: For the more than hundred different connection types in cortical circuits, only a handful of rules has been described at all. Similarly, testing observed rules in simulations of cortical function has only seen limited success. Our slow progress is due to the extraordinary difficulty of measuring and observing synapses without interference.

Here, we propose a new approach. By utilizing the growing power of machine learning methods we can deduce synaptic plasticity rules directly. Newly developed search algorithms and sheer computational power allow us to integrate published data and infer synaptic rules in silico. We aim to (1) develop a new mathematical expression of synaptic plasticity rules, experimentally appropriate and flexible enough to be implemented in a Machine Learning framework, dubbed SYNAPSEEK. Next (2), we will apply SYNAPSEEK to deduce the rules for building various neural structures with increasing complexity. Finally (3), we will incorporate additional constraints to SYNAPSEEK to develop synaptic rules that shape network function as much as its structure. Our work will establish, for the first time, canonical sets of synaptic plasticity rules, based on the circuit structure they must produce, and the function they are meant to support. SYNAPSEEK will have immediate and wide ranging applications, from a basic understanding of cortical development to better protocols for Deep Brain Stimulation.

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The information about "SYNAPSEEK" are provided by the European Opendata Portal: CORDIS opendata.

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