17 citations · 68 across the 19 of their papers we have counts for
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cs.NE2023
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures
Angel Yanguas-Gil, Sandeep Madireddy
In this work we have extended AutoML inspired approaches to the exploration and optimization of neuromorphic architectures. Through the integration of a parallel asynchronous model…
cs.NE2021★ 1 cited
Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings
Angel Yanguas-Gil
Neuromorphic architectures are ideally suited for the implementation of smart sensors able to react, learn, and respond to a changing environment. Our work uses the insect brain as…
cs.NE2020
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware
Angel Yanguas-Gil
In this work we explore recurrent representations of leaky integrate and fire neurons operating at a timescale equal to their absolute refractory period. Our coarse time scale appr…