FPGA-Based In-Vivo Calcium Image Decoding for Closed-Loop Feedback Applications-Reference-Cited by-同舟云学术

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FPGA-Based In-Vivo Calcium Image Decoding for Closed-Loop Feedback Applications

Published:2023-04 Issue:2 Volume:17 Page:169-179
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Chen Zhe¹^ORCID,Blair Garrett J.²^ORCID,Cao Chengdi¹,Zhou Jim¹,Aharoni Daniel³^ORCID,Golshani Peyman³,Blair Hugh T.⁴,Cong Jason¹^ORCID

Affiliation:

1. Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA

2. NYU Center for Neural Science, New York University, New York, NY, USA

3. Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA

4. Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA

Funder

NSF NeuroNex

NIH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Biomedical Engineering

Link

https://ieeexplore.ieee.org/ielam/4156126/10122741/10104097-aam.pdf

Reference39 articles.

1. Decoding with Calcium Signals from Layer 2/3 Motor Cortex during A Pressing Movement

2. Parameter-free automated extraction of neuronal signals from calcium imaging data

3. Real-Time Calcium Imaging Based Neural Decoding with a Support Vector Machine

4. Computational processing of neural recordings from calcium imaging data

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1. A feedback-driven IoT microfluidic, electrophysiology, and imaging platform for brain organoid studies;2024-03-17

2. Design Optimization for High-Performance Computing Using FPGA;Communications in Computer and Information Science;2024

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