Jibin Wu | DeepAI

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∙ 09/18/2023

Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks

Brain-inspired spiking neural networks (SNNs) have demonstrated great po...

0 Zeyang Song, et al. ∙

∙ 08/29/2023

Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding

The human brain exhibits remarkable abilities in integrating temporally ...

0 Xinyi Chen, et al. ∙

∙ 08/25/2023

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling

The identification of sensory cues associated with potential opportuniti...

0 Shimin Zhang, et al. ∙

∙ 07/14/2023

Long Short-term Memory with Two-Compartment Spiking Neuron

The identification of sensory cues associated with potential opportuniti...

0 Shimin Zhang, et al. ∙

∙ 05/26/2023

A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks

The biological neural systems evolved to adapt to ecological environment...

0 Xinyi Chen, et al. ∙

∙ 10/10/2022

Training Spiking Neural Networks with Local Tandem Learning

Spiking neural networks (SNNs) are shown to be more biologically plausib...

0 Qu Yang, et al. ∙

∙ 03/30/2021

Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech

Speaker verification has been studied mostly under the single-talker con...

0 Chenglin Xu, et al. ∙

∙ 07/07/2020

Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network

Inspired by the mammal's auditory localization pathway, in this paper we...

0 Zihan Pan, et al. ∙

∙ 07/02/2020

Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks

Spiking neural networks (SNNs) have shown clear advantages over traditio...

0 Jibin Wu, et al. ∙

∙ 06/03/2020

You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy

In the past decade, advances in Artificial Neural Networks (ANNs) have a...

0 Srivatsa P, et al. ∙

∙ 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...

0 Malu Zhang, et al. ∙

∙ 11/19/2019

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition

Artificial neural networks (ANN) have become the mainstream acoustic mod...

24 Jibin Wu, et al. ∙

∙ 09/12/2019

Neural Population Coding for Effective Temporal Classification

Neural encoding plays an important role in faithfully describing the tem...

0 Zihan Pan, et al. ∙

∙ 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)...

4 Zihan Pan, et al. ∙

∙ 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...

5 Jibin Wu, et al. ∙

∙ 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...

0 Jibin Wu, et al. ∙

∙ 02/15/2019

Deep Spiking Neural Network with Spike Count based Learning Rule

Deep spiking neural networks (SNNs) support asynchronous event-driven co...

13 Jibin Wu, et al. ∙

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