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12/20/2021
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time
The event-driven and sparse nature of communication between spiking neur...
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11/23/2021
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing
As spiking-based deep learning inference applications are increasing in ...
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10/01/2021
Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp
Robotic airships offer significant advantages in terms of safety, mobili...
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03/12/2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Inspired by more detailed modeling of biological neurons, Spiking neural...
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05/24/2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks
The emergence of brain-inspired neuromorphic computing as a paradigm for...
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07/02/2018
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing
Machine vision systems using convolutional neural networks (CNNs) for ro...
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06/05/2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Convolutional neural networks (CNNs) have become the dominant neural net...
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06/30/2016
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network
This paper describes the application of a Convolutional Neural Network (...
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06/17/2015