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Excitable Decision-Making| title | Excitable Decision-Making |
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| start_date | 2024/11/06 |
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| schedule | 14h-15h |
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| online | no |
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| location_info | salle Duyckaerts – B32 & online |
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| summary | Understanding how the functional scale of cognition and the cellular scale of excitable neuronal activity are related is a fundamental question of neuroscience with important implications for both biological and artificial intelligence. I propose that this problem can be addressed by focusing on decision-making as a universal and evolutionary conserved cognitive function and by studying it using mathematical modeling grounded in control and bifurcation theory. Excitability can then be understood as the synthesis of two defining properties of adaptive decision-making: the existence of a tunable threshold that determines the making of a decision and the existence of a reset mechanism that allows returning to a neutral state and the making of new decisions. The derived theory is suited both for the analysis of biological decision-making, including in groups, and for the design of artificial decision-making, including in algorithms and in hardware. |
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| responsibles | Grégoire |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2024/10/16 08:10 UTC |
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