Explore the words cloud of the FLEXNEURO project. It provides you a very rough idea of what is the project "FLEXNEURO" about.
The following table provides information about the project.
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE
|Coordinator Country||United Kingdom [UK]|
|Total cost||1˙299˙191 €|
|EC max contribution||1˙299˙191 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2017-02-01 to 2022-01-31|
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|1||THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE||UK (CAMBRIDGE)||coordinator||1˙299˙191.00|
It is now possible to monitor and manipulate neurons in live, awake animals, revealing how patterns of neural activity represent information and give rise to behaviour. Very recent experiments show that many circuits have physiology and connectivity that is highly variable and that changes continually, even when an animal’s behaviour and environment are stable. Existing theories of brain function assume that neural circuit parameters only change as required during learning and development. This paradigm cannot explain how consistent behaviour can emerge from circuits that continually reconfigure, nor what mechanisms might drive variability and continual change. Understanding this deep puzzle requires new theory and new ways to interpret experimental data. I will develop a theory of reconfiguring circuits by significantly generalizing my previous work that uses control theory to show how network activity can be maintained in spite of variability and continual turnover of crucial circuit components. We will analyse how biological plasticity mechanisms steer collective properties of neurons and circuits toward functional states without requiring individual parameters to be fixed, resulting in circuit models with consistent output but variable and mutable internal structures. In close collaboration with leading experimentalists we will challenge these modelling principles to account for new findings which reveal that navigation, sensory percepts and learned associations are underpinned by surprisingly dynamic, variable circuit connectivity and physiology. This will generate new, exciting questions that will drive experiments and theory together: how can known plasticity mechanisms generate reconfigurable neural representations? Do continually reconfiguring networks possess unique functional flexibility and robustness, and are they vulnerable to specific pathologies? And how can we design new experiments to test theories of robust, reconfigurable networks?
|year||authors and title||journal||last update|
Srinivas Gorur-Shandilya, Eve Marder, Timothy Oâ€™Leary
Homeostatic plasticity rules that compensate for cell size are susceptible to channel deletion
published pages: , ISSN: , DOI: 10.1101/753608
Saeed Aljaberi, Timothy O\'Leary, Fulvio Forni
Qualitative behavior and robustness of dendritic trafficking
published pages: , ISSN: , DOI:
|IEEE Conference on Decision and Control (CDC) Friday December 13, 2019||2020-01-22|
Adrianna R. Loback, Michael E. Rule, Dhruva V. Raman, Laura N. Driscoll, Christopher D. Harvey, Timothy O\'Leary
Stable task information from an unstable neural population
published pages: , ISSN: , DOI: 10.1101/796334
Jacob Ratliff, Eve Marder, Timothy O\'Leary
Neural circuit robustness to acute, global physiological perturbations
published pages: , ISSN: , DOI:
Michael E Rule, Timothy Oâ€™Leary, Christopher D Harvey
Causes and consequences of representational drift
published pages: 141-147, ISSN: 0959-4388, DOI: 10.1016/j.conb.2019.08.005
|Current Opinion in Neurobiology 58||2020-01-22|
Homeostasis, failure of homeostasis and degenerate ion channel regulation
published pages: 129-138, ISSN: 2468-8673, DOI: 10.1016/j.cophys.2018.01.006
|Current Opinion in Physiology 2||2020-01-22|
Timothy O\'Leary, Dhruva Raman
Fundamental bounds on learning performance in neural circuits
published pages: , ISSN: , DOI: 10.1101/508994
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The information about "FLEXNEURO" are provided by the European Opendata Portal: CORDIS opendata.
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