A Neuromorphic Brain Interface based on RRAM Crossbar Arrays for High Throughput Real-time Spike Sorting.
Copper Oxide
Crossbar
High Throughput
Memory
Non-volatile memory
RRAM
Real-time
Spike Sorting
Template Matching
Journal
IEEE transactions on electron devices
ISSN: 0018-9383
Titre abrégé: IEEE Trans Electron Devices
Pays: United States
ID NLM: 0422675
Informations de publication
Date de publication:
Apr 2022
Apr 2022
Historique:
medline:
1
4
2022
pubmed:
1
4
2022
entrez:
11
5
2023
Statut:
ppublish
Résumé
Real-time spike sorting and processing are crucial for closed-loop brain-machine interfaces and neural prosthetics. Recent developments in high-density multi-electrode arrays with hundreds of electrodes have enabled simultaneous recordings of spikes from a large number of neurons. However, the high channel count imposes stringent demands on real-time spike sorting hardware regarding data transmission bandwidth and computation complexity. Thus, it is necessary to develop a specialized real-time hardware that can sort neural spikes on the fly with high throughputs while consuming minimal power. Here, we present a real-time, low latency spike sorting processor that utilizes high-density CuO
Identifiants
pubmed: 37168652
doi: 10.1109/ted.2021.3131116
pmc: PMC10168101
mid: NIHMS1792480
doi:
Types de publication
Journal Article
Langues
eng
Pagination
2137-2144Subventions
Organisme : NIBIB NIH HHS
ID : DP2 EB030992
Pays : United States
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