Muliukov et al., 2022 - Google Patents
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural modelsMuliukov et al., 2022
View HTML- Document ID
- 3315835979061872550
- Author
- Muliukov A
- Rodriguez L
- Miramond B
- Khacef L
- Schmidt J
- Berthet Q
- Upegui A
- Publication year
- Publication venue
- Frontiers in neuroscience
External Links
Snippet
The field of artificial intelligence has significantly advanced over the past decades, inspired by discoveries from the fields of biology and neuroscience. The idea of this work is inspired by the process of self-organization of cortical areas in the human brain from both afferent …
- 230000001537 neural 0 title abstract description 45
Classifications
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- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
- G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
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- G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
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- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
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- G06N3/00—Computer systems based on biological models
- G06N3/004—Artificial life, i.e. computers simulating life
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