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Sequence learning in brain-inspired computing systems| title | Sequence learning in brain-inspired computing systems |
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| start_date | 2023/03/24 |
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| schedule | 11h |
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| online | no |
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| location_info | salle de conférence Albe-Fessard |
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| details | Invité par Andrew Davison |
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| summary | Sequence learning is one of the universal computations performed by the vast but homogeneous network of the mammalian brain. The abstract Hierarchical Temporal Memory (HTM) algorithm accomplishes this form of computation. We present first steps of a spiking neuronal network
realization compatible with the biological constraints. Nevertheless, rapid and energy efficient execution of brain-inspired algorithms requires corresponding hardware and software. The second part of the talk therefore evaluates the progress of large-scale neuromorphic computing systems. |
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| responsibles | Perignon |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2023/03/16 14:37 UTC |
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