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Hardware-Efficient Compression of Neural Multi-Unit Activity Using Machine Learning Selected Static Huffman Encoders

View ORCID ProfileOscar W. Savolainen, View ORCID ProfileZheng Zhang, View ORCID ProfilePeilong Feng, View ORCID ProfileTimothy G. Constandinou
doi: https://doi.org/10.1101/2022.03.25.485863
Oscar W. Savolainen
1Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
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  • For correspondence: o.savolainen18@imperial.ac.uk
Zheng Zhang
1Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
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Peilong Feng
1Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
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Timothy G. Constandinou
1Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
2UK Dementia Research Institute (UKDRI) Care Research & Technology (CR&T) Centre, based at Imperial College London and the University of Surrey, UK
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Article Information

doi 
https://doi.org/10.1101/2022.03.25.485863
History 
  • March 28, 2022.

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  • You are currently viewing Version 1 of this article (March 28, 2022 - 17:01).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Oscar W. Savolainen1,3,*,
  2. Zheng Zhang1,3,
  3. Peilong Feng1 and
  4. Timothy G. Constandinou1,2
  1. 1Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
  2. 2UK Dementia Research Institute (UKDRI) Care Research & Technology (CR&T) Centre, based at Imperial College London and the University of Surrey, UK
  1. ↵*E-mail: o.savolainen18{at}imperial.ac.uk
  1. ↵3 These authors contributed equally to this work.

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Posted March 28, 2022.
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Hardware-Efficient Compression of Neural Multi-Unit Activity Using Machine Learning Selected Static Huffman Encoders
Oscar W. Savolainen, Zheng Zhang, Peilong Feng, Timothy G. Constandinou
bioRxiv 2022.03.25.485863; doi: https://doi.org/10.1101/2022.03.25.485863
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Hardware-Efficient Compression of Neural Multi-Unit Activity Using Machine Learning Selected Static Huffman Encoders
Oscar W. Savolainen, Zheng Zhang, Peilong Feng, Timothy G. Constandinou
bioRxiv 2022.03.25.485863; doi: https://doi.org/10.1101/2022.03.25.485863

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