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07/06/2023
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations
Reinforcement Learning (RL) provides a powerful framework for decision-m...
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05/31/2023
Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
This paper presents an efficient hardware implementation of the recently...
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04/27/2023
Density Invariant Contrast Maximization for Neuromorphic Earth Observations
Contrast maximization (CMax) techniques are widely used in event-based v...
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12/14/2022
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model
This paper presents a reconfigurable digital implementation of an event-...
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09/27/2021
An optimised deep spiking neural network architecture without gradients
We present an end-to-end trainable modular event-driven neural architect...
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11/20/2019
Event-based Object Detection and Tracking for Space Situational Awareness
In this work, we present optical space imaging using an unconventional y...
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07/18/2019
Event-based Feature Extraction Using Adaptive Selection Thresholds
Unsupervised feature extraction algorithms form one of the most importan...
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03/14/2016
Investigation of event-based memory surfaces for high-speed tracking, unsupervised feature extraction and object recognition
In this paper we compare event-based decaying and time based-decaying me...
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05/11/2015
An Online Learning Algorithm for Neuromorphic Hardware Implementation
We propose a sign-based online learning (SOL) algorithm for a neuromorph...
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08/06/2014
Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron with Adaptive Kernels
This paper describes the Synapto-dendritic Kernel Adapting Neuron (SKAN)...
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06/13/2013
