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CARMA project: automatic analysis of brain imaging articles and genetic databases for multi-scale models of cognition and memory| old_uid | 12381 |
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| title | CARMA project: automatic analysis of brain imaging articles and genetic databases for multi-scale models of cognition and memory |
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| start_date | 2013/04/22 |
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| schedule | 11h |
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| online | no |
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| summary | A major problem faced by the neuroscientific and clinical community is to use the current knowledge distributed in thousands of papers to help interpreting their own results and build multiscale integrated models in particular multi-scale models of human cognition and memory. We have used the Neurosynth framework and the CorText lexical analysis to construct a bottom-up ontology and derive automatically a large set of anatomo-functional reference points covering the whole cortical surface to reveal the inter relations between the networks involved in cognition, language and memory.
We then build the CARMA matrix (Cerebral Architecture for Multiple Acquisitions and adaptations) which reveals both the combinatorial properties of referenced neural populations, and the relations between networks in which these neuronal populations are participating (anatomical connections, resting-state correlations, cognitive activations..).
This CARMA matrix, made available to scientific community (web site CARMA available june 2013) can serve as a multi-disciplinary tool :
- in the framework on the trans-disciplinary programs relating cognitive sciences and history to study the cerebral basis of the different types of memories (semantic, episodic, auto-biographical...)
- to inspire new integrated models multi-scale models of cognition and memory, by relating the brain distribution of functions and the brain distribution of protein and genes.
- for multidisciplinary projects, between neuroscience, cognitive science, artificial intelligence and robotics to relate natural and artificial models of memory processes |
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| responsibles | Declerck, Aimé |
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