Online neuron classification method based on neuromorphic computing
US12106208B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 23, 2022 |
| Grant date | Oct 1, 2024 |
| Priority date | — |
| Expiry date | Dec 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention discloses an online neuron spike sorting method based on neuromorphic computing, which converts neuron spike signals collected from the cerebral cortex into spike signals through field coding, classifies different waveforms and corresponding time stamps by means of spiking neural networks, and realizes online neuron spike sorting; at the same time, the online update method of spiking neural network is used to adapt to the online changes of neuronal spike waveform and improve the accuracy of long-term online neuronal spike sorting. This method has fast computational speed, which can improve the speed of spike sorting process, maintain high consistency in classification on different datasets, and facilitate the deployment of implanted chips.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.