Heat transfer as coupling mechanism in VO2-based neurons
ORAL
Abstract
In this work, we show how volatile resistive switching in VO2 can be used to do such task. We use heat as a memory mechanism to implement “leaky integrate and fire”, a basic neural functionality. By keeping VO2 nanodevices at the edge of firing and using heat transfer as coupling mechanism, we show signal self-amplification when voltage spikes are transferred form one neuron to the next. This result is key towards the construction of completely scalable, resistive-switching based neuromorphic hardware.
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Presenters
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Javier Del Valle Granda
University of California, San Diego
Authors
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Javier Del Valle Granda
University of California, San Diego
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Yoav Kalcheim
University of California San Diego, Department of Physics and Center for Advanced Nanoscience, University of California - San Diego, University of California, San Diego, Department of Physics and Center for Advanced Nanoscience, University of California San Diego, Department of Physics, University of California San Diego
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Pavel Salev
Royal Holloway, University of London, University of California, San Diego, Department of Physics and Center for Advanced Nanoscience, University of California San Diego, Department of Physics, University of California San Diego
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Ivan Schuller
Physics, University of California, San Diego, University of California San Diego, Department of Physics and Center for Advanced Nanoscience, University of California - San Diego, Physics, UC San Diego, University of California, San Diego, Physics and Astronomy, University of California San Diego, Department of Physics and Center for Advanced Nanoscience, University of California San Diego, Department of Physics and Center for Advanced Nanoscience, University of California, San Diego, Department of Physics, University of California San Diego