Programmable neuromorphic circuits for spike-based neural dynamics
Conference Publication ResearchOnline@JCUAbstract
Hardware implementations of spiking neural networks offer promising solutions for a wide set of tasks, ranging from autonomous robotics to brain machine interfaces. We propose a set of programmable hybrid analog/digital neuromorphic circuits than can be used to build compact low-power neural processing systems. In particular, we present both CMOS and hybrid memristor/CMOS synaptic circuits that have programmable synaptic weights and exhibit biologically plausible response properties. For the CMOS circuits, we present experimental results demonstrating that they operate correctly over a wide range input frequencies; for the hybrid memristor/CMOS circuits we present circuit simulation results validating their expected response properties.
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Publication Name
NEWCAS 2013: 11th International New Circuits and Systems Conference
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ISBN/ISSN
978-1-4799-0620-8
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Pages Count
4
Location
Paris, France
Publisher
Institute of Electrical and Electronics Engineers
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Publisher Location
Piscataway, NJ, USA
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DOI
10.1109/NEWCAS.2013.6573600