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09/07/2023
Spiking Structured State Space Model for Monaural Speech Enhancement
Speech enhancement seeks to extract clean speech from noisy signals. Tra...
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03/14/2023
Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation
Despite its better bio-plausibility, goal-driven spiking neural network ...
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02/16/2023
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition
Spiking neural networks (SNN) are a promising research avenue for buildi...
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10/10/2022
Training Spiking Neural Networks with Local Tandem Learning
Spiking neural networks (SNNs) are shown to be more biologically plausib...
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08/14/2022
Gradient Mask: Lateral Inhibition Mechanism Improves Performance in Artificial Neural Networks
Lateral inhibitory connections have been observed in the cortex of the b...
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07/12/2021
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks
State-of-the-art artificial neural networks (ANNs) require labelled data...
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03/26/2020
Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks
The success of Deep Neural Networks (DNNs) can be attributed to its deep...
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12/28/2019
Transfer Learning in General Lensless Imaging through Scattering Media
Recently deep neural networks (DNNs) have been successfully introduced t...
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09/03/2019
An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks
Auditory front-end is an integral part of a spiking neural network (SNN)...
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07/02/2019
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks
The emerging neuromorphic computing (NC) architectures have shown compel...
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07/02/2019
A Tandem Learning Rule for Efficient and Rapid Inference on Deep Spiking Neural Networks
Emerging neuromorphic computing (NC) architectures have shown compelling...
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02/15/2019
Deep Spiking Neural Network with Spike Count based Learning Rule
Deep spiking neural networks (SNNs) support asynchronous event-driven co...
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01/01/2019
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses
Neuromorphic systems or dedicated hardware for neuromorphic computing is...
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07/03/2018
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain
The advantage of spiking neural networks (SNNs) over their predecessors ...
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07/02/2018
