Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter-Reference-Cited by-同舟云学术

Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Li Mingdong¹,Chen Shuhang²,Liu Xi³,Song Zhiwei³,Wang Yiwen⁴

Affiliation:

1. the Hong Kong University of Science and Technology, the Hong Kong University of Science and Technology,Robotics and Autonomous Systems Thrust,department of Electronic and Computer Engineering,Guangzhou

2. Hong Kong University of Science and Technology,Program of Bioengineering

3. Hong Kong University of Science and Technology,department of Electronic and Computer Engineering

4. Hong Kong University of Science and Technology,department of Electronic and Computer Engineering, department of Chemical and Biological Engineering

Funder

National Natural Science Foundation of China

Innovation and Technology Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871283.pdf?arnumber=9871283

Reference11 articles.

1. Correlations enhance the behavioral readout of neural population activity in association cortex

2. Coordinated Neuronal Activity Enhances Corticocortical Communication

3. A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects

4. Brain-Machine Interface Engineering

5. Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering

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