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Face familiarity detection with complex synapses

Li Ji-An, Fabio Stefanini, Marcus K. Benna, View ORCID ProfileStefano Fusi
doi: https://doi.org/10.1101/854059
Li Ji-An
1Zuckerman Institute, Columbia University, New York, NY 10027, USA
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Fabio Stefanini
1Zuckerman Institute, Columbia University, New York, NY 10027, USA
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Marcus K. Benna
1Zuckerman Institute, Columbia University, New York, NY 10027, USA
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Stefano Fusi
1Zuckerman Institute, Columbia University, New York, NY 10027, USA
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  • ORCID record for Stefano Fusi
  • For correspondence: sf2237@columbia.edu
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Abstract

Synaptic plasticity is a complex phenomenon involving multiple biochemical processes that operate on different timescales. We recently showed that this complexity can greatly increase the memory capacity of neural networks when the variables that characterize the synaptic dynamics have limited precision, as in biological systems. These types of complex synapses have been tested mostly on simple memory retrieval problems involving random and uncorrelated patterns. Here we turn to a real-world problem, face familiarity detection, and we show that also in this case it is possible to take advantage of synaptic complexity to store in memory a large number of faces that can be recognized at a later time. In particular, we show that the memory capacity of a system with complex synapses grows almost linearly with the number of the synapses and quadratically with the number of neurons. Complex synapses are superior to simple ones, which are characterized by a single variable, even when the total number of dynamical variables is matched. Our results indicate that a memory system with complex synapses can be used in real-world applications such as familiarity detection.

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Posted November 25, 2019.
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Face familiarity detection with complex synapses
Li Ji-An, Fabio Stefanini, Marcus K. Benna, Stefano Fusi
bioRxiv 854059; doi: https://doi.org/10.1101/854059
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Face familiarity detection with complex synapses
Li Ji-An, Fabio Stefanini, Marcus K. Benna, Stefano Fusi
bioRxiv 854059; doi: https://doi.org/10.1101/854059

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