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Complexity reduction of neural network model for local motion detection in motion stereo vision
(Springer, 2017)
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Spatial perception, in which objects’ motion and positional relationship are recognized, is necessary for applications such as a walking robot and an autonomous car. One of the demanding features of spatial perception in ...
Analog VLSI implementation of kernel-based classifiers
(Institute of Electrical and Electronics Engineers (IEEE), 1994)
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Kernel-based classifiers are neural networks (radial basis functions) where the probability densities of each class of data are first estimated, to be used thereafter to approximate Bayes boundaries between classes. Such ...
Self-adaptive hardware architecture with parallel processing capabilities and dynamic reconfiguration
(Association for Computing Machinery (ACM), 2017)
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This paper describes a new self-adaptive hardware architecture
with fault tolerance capabilities and a development
system that allows the creation of applications. This bioinspired
architecture is based on an array of ...
Hardware-software co-design for efficient and scalable real-time emulation of SNNs on the edge
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
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This paper introduces a novel workflow for Distributed Spiking Neural Network Architecture (DSNA). As such, the hardware implementation of Single Instruction Multiple Data (SIMD)-based Spiking Neural Network (SNN) requires ...