2021
DOI: 10.21203/rs.3.rs-780916/v1
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The neuromorphic Mosaic: re-configurable in-memory small-world graphs

Abstract: Thanks to their non-volatile and multi-bit properties, memristors have been extensively used as synaptic weight elements in neuromorphic architectures. However, their use to define and re-program the network connectivity has been overlooked. Here, we propose, implement and experimentally demonstrate Mosaic, a neuromorphic architecture based on a systolic array of memristor crossbars. For the first time, we use distributed non-volatile memristors not only for computation, but also for routing (i.e., to define t… Show more

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“…These memristorbased FPGAs show significant gain in routing resources and configuration storage improvements in system performance, area and power consumption [5]- [8]. Recently, we have proposed to use this memristor-based routing approach also in multi-core SNN neuromorphic processors, in which neurons communicate with each other via spike events [9].…”
Section: Introductionmentioning
confidence: 99%
“…These memristorbased FPGAs show significant gain in routing resources and configuration storage improvements in system performance, area and power consumption [5]- [8]. Recently, we have proposed to use this memristor-based routing approach also in multi-core SNN neuromorphic processors, in which neurons communicate with each other via spike events [9].…”
Section: Introductionmentioning
confidence: 99%