Visualizing a joint future of neuroscience and neuromorphic engineering

Affiliations

¹ Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland. Electronic address: friedemann.zenke@fmi.ch.
² CWI, Amsterdam, the Netherlands; Swammerdam Institute for Life Sciences (SILS), University of Amsterdam, Amsterdam, the Netherlands; AI Department, Rijksuniversiteit Groningen, Groningen, the Netherlands.
³ Bioengineering Department, Imperial College London, London, UK.
⁴ Google Research, Zürich, Switzerland.
⁵ Kirchhoff Institute for Physics, Heidelberg University, Heidelberg, Germany; Department of Physiology, University of Bern, Bern, Switzerland.
⁶ Institute of Theoretical Computer Science, Graz University of Technology, Graz, Austria.
⁷ CNRS-CERCO UMR 5549, 31300 Toulouse, France.
⁸ Brain and Mind Research Institute of the University of Ottawa, Department of Cellular Molecular Medicine, University of Ottawa, Ottawa, Canada.
⁹ Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, USA; Department of Computer Science, University of California, Irvine, Irvine, CA, USA.
¹⁰ Department of Electrical and Electronic Engineering, Imperial College London, London, UK.

PMID: 33600754
DOI: 10.1016/j.neuron.2021.01.009

Visualizing a joint future of neuroscience and neuromorphic engineering

Friedemann Zenke et al. Neuron. 2021.

. 2021 Feb 17;109(4):571-575.

doi: 10.1016/j.neuron.2021.01.009.

Authors

Affiliations

¹ Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland. Electronic address: friedemann.zenke@fmi.ch.
² CWI, Amsterdam, the Netherlands; Swammerdam Institute for Life Sciences (SILS), University of Amsterdam, Amsterdam, the Netherlands; AI Department, Rijksuniversiteit Groningen, Groningen, the Netherlands.
³ Bioengineering Department, Imperial College London, London, UK.
⁴ Google Research, Zürich, Switzerland.
⁵ Kirchhoff Institute for Physics, Heidelberg University, Heidelberg, Germany; Department of Physiology, University of Bern, Bern, Switzerland.
⁶ Institute of Theoretical Computer Science, Graz University of Technology, Graz, Austria.
⁷ CNRS-CERCO UMR 5549, 31300 Toulouse, France.
⁸ Brain and Mind Research Institute of the University of Ottawa, Department of Cellular Molecular Medicine, University of Ottawa, Ottawa, Canada.
⁹ Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, USA; Department of Computer Science, University of California, Irvine, Irvine, CA, USA.
¹⁰ Department of Electrical and Electronic Engineering, Imperial College London, London, UK.

PMID: 33600754
DOI: 10.1016/j.neuron.2021.01.009

Abstract

Recent research resolves the challenging problem of building biophysically plausible spiking neural models that are also capable of complex information processing. This advance creates new opportunities in neuroscience and neuromorphic engineering, which we discussed at an online focus meeting.

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Conflict of interest statement

Declaration of interests R.N. has filed a provisional patent application: “Deep learning method with spiking units and spiking neural network system and neuromorphic device.” I.M.C. is an employee of Google LLC. Portions of the work by Comşa et al. (2019) are covered by pending PCT Patent Application No. PCT/US2019/055848 (“Temporal Coding in Leaky Spiking Neural Networks”), filed by Google in 2019.

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Visualizing a joint future of neuroscience and neuromorphic engineering

Affiliations

Visualizing a joint future of neuroscience and neuromorphic engineering

Authors

Affiliations

Abstract

Conflict of interest statement

Publication types

MeSH terms