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Event-based neuromorphic systems

1st ed., 2014

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Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator

IEEE transactions on very large scale integration (VLSI) systems, 2014-12, Vol.22 (12), p.2621-2628

2014

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Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification

Frontiers in neuroscience, 2017-12, Vol.11, p.682-682

2017

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Conversion of analog to spiking neural networks using sparse temporal coding

2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018, p.1-5

2018

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A Dynamic Vision Sensor With 1% Temporal Contrast Sensitivity and In-Pixel Asynchronous Delta Modulator for Event Encoding

IEEE journal of solid-state circuits, 2015-09, Vol.50 (9), p.2149-2160

2015

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AER EAR: A Matched Silicon Cochlea Pair With Address Event Representation Interface

IEEE transactions on circuits and systems. 1, Fundamental theory and applications, 2007-01, Vol.54 (1), p.48-59

2007

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Feature Representations for Neuromorphic Audio Spike Streams

Frontiers in neuroscience, 2018-02, Vol.12, p.23-23

2018

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Memory and Information Processing in Neuromorphic Systems

Proceedings of the IEEE, 2015-08, Vol.103 (8), p.1379-1397

2015

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Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception

NeuroImage (Orlando, Fla.), 2020-12, Vol.223, p.117282-117282, Article 117282

2020

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Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity

IEEE transaction on neural networks and learning systems, 2024-01, Vol.35 (1), p.1098-1112

2024

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Neuromorphic sensory systems

Current opinion in neurobiology, 2010-06, Vol.20 (3), p.288-295

2010

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Analysis of Encoding Degradation in Spiking Sensors Due to Spike Delay Variation

IEEE transactions on circuits and systems. I, Regular papers, 2017-01, Vol.64 (1), p.145-155

2017

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Hardware-Amenable Structural Learning for Spike-Based Pattern Classification Using a Simple Model of Active Dendrites

Neural computation, 2015-04, Vol.27 (4), p.845-897

2015

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CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory-Processing- Learning-Actuating System for High-Speed Visual Object Recognition and Tracking

IEEE transactions on neural networks, 2009-09, Vol.20 (9), p.1417-1438

2009

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Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence

IEEE transaction on neural networks and learning systems, 2017-04, Vol.28 (4), p.774-777

2017

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Parameter Uncertainty for End-to-end Speech Recognition

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.5636-5640

2019

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NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.644-656

2019

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Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing

IEEE transactions on circuits and systems for video technology, 2022-02, Vol.32 (2), p.621-633

2022

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Spiking Cochlea With System-Level Local Automatic Gain Control

IEEE transactions on circuits and systems. I, Regular papers, 2022-05, Vol.69 (5), p.2156-2166

2022

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Hardware Implementation of an Event-Based Message Passing Graphical Model Network

IEEE transactions on circuits and systems. I, Regular papers, 2018-09, Vol.65 (9), p.2739-2752

2018

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Real-Time Edge Neuromorphic Tasting From Chemical Microsensor Arrays

Frontiers in neuroscience, 2021-12, Vol.15, p.771480-771480

2021

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Subthreshold DC-gain enhancement by exploiting small size effects of MOSFETs

Electronics letters, 2014-05, Vol.50 (11), p.835-837

2014

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Low Latency Event-based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications

IEEE access, 2019-01, Vol.7, p.1-1

2019

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Improved margin multi-class classification using dendritic neurons with morphological learning

2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014, p.2640-2643

2014

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A Comparison of Low-Complexity Real-Time Feature Extraction for Neuromorphic Speech Recognition

Frontiers in neuroscience, 2018-03, Vol.12, p.160-160

2018

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Event-based neuromorphic systems

Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator

Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification

Conversion of analog to spiking neural networks using sparse temporal coding

A Dynamic Vision Sensor With 1% Temporal Contrast Sensitivity and In-Pixel Asynchronous Delta Modulator for Event Encoding

AER EAR: A Matched Silicon Cochlea Pair With Address Event Representation Interface

Feature Representations for Neuromorphic Audio Spike Streams

Memory and Information Processing in Neuromorphic Systems

Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception

Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity

Neuromorphic sensory systems

Analysis of Encoding Degradation in Spiking Sensors Due to Spike Delay Variation

Hardware-Amenable Structural Learning for Spike-Based Pattern Classification Using a Simple Model of Active Dendrites

CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory-Processing- Learning-Actuating System for High-Speed Visual Object Recognition and Tracking

Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence

Parameter Uncertainty for End-to-end Speech Recognition

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing

Spiking Cochlea With System-Level Local Automatic Gain Control

Hardware Implementation of an Event-Based Message Passing Graphical Model Network

Real-Time Edge Neuromorphic Tasting From Chemical Microsensor Arrays

Subthreshold DC-gain enhancement by exploiting small size effects of MOSFETs

Low Latency Event-based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications

Improved margin multi-class classification using dendritic neurons with morphological learning

A Comparison of Low-Complexity Real-Time Feature Extraction for Neuromorphic Speech Recognition

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