CORDIS Project
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This project aims to understand natural learning mechanisms in larval Drosophila, focusing on their olfactory behavior and associative conditioning. By developing computational models, it seeks to enhance machine learning capabilities through insights gained from biological systems.
Biology provides the inspiration for a vision of small low-power devices that are able to learn rapidly and autonomously about environmental contingencies, enabling prediction and adaptive anticipatory action.
Larval Drosophila have fewer than 10,000 neurons, yet express a variety of complex orientation and learning behaviours, including non-trivial anticipatory actions requiring context-dependent evaluation of the value of learned cues.
Current computational learning theory cannot fully account…
THE UNIVERSITY OF EDINBURGH
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LEIBNIZ-INSTITUT FUER NEUROBIOLOGIE
Germany, Magdeburg
Type: Research institute
Activity type: Research Organisations
SME: No
United Kingdom, Gartmore
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
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