Real-Time Large-Scale Neural Connectivity Inference on Spiking Neuromorphic System

Real-Time Large-Scale Neural Connectivity Inference on Spiking Neuromorphic System

A deep understanding of neuronal circuitry connectivity is essential to replicate biological functions effectively. Inferring neural connectivity considers the cross-correlation of spike timing. Neuromorphic systems utilize online learning algorithms that leverage the temporal correlations of spikes...

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Bibliographic Details
Main Authors: Daeyoung Kim, Seongsik Park, YeonJoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Hyun Jae Jang, Inho Kim, Jong-Kook Kim, Jongkil Park
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Granger causality
online learning
spike-timing-dependent plasticity
spiking neural networks
Online Access:https://ieeexplore.ieee.org/document/11051066/
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https://ieeexplore.ieee.org/document/11051066/

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