Convolutional Spiking Neural Network

Convolutional Spiking Neural Networks (CSNNs) aim to combine the energy efficiency of spiking neural networks (SNNs) with the powerful feature extraction capabilities of convolutional neural networks (CNNs). Current research focuses on improving CSNN accuracy and efficiency through novel learning algorithms (like combined STDP variations), optimized architectures (including hybrid CNN-SNN models and specialized modules like global-local convolutions), and efficient hardware implementations. This work is significant because CSNNs offer a pathway towards more energy-efficient and potentially more robust machine learning systems for applications ranging from action recognition and gesture control to medical signal processing and keyword spotting.

Papers

August 13, 2024

The Potential of Combined Learning Strategies to Enhance Energy Efficiency of Spiking Neuromorphic Systems
Ali Shiri Sichani, Sai Kankatala
Full Potential Neuromorphic Computing Energy Efficiency Spike Timing Dependent Plasticity Neuromorphic Architecture Convolutional Spiking Neural Network

August 3, 2024

Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics
Naichuan Zheng, Hailun Xia, Dapeng Liu
Graph Convolutional Network Abnormal Signal Convolutional Spiking Neural Network Spiking Graph Convolutional Network Skeletal Action Recognition

July 21, 2024

Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
Nathan Lutes, Venkata Sriram Siddhardh Nadendla, K. Krishnamurthy
Transfer Learning Neuromorphic Hardware Convolutional Spiking Neural Network Shot Transfer Learning

July 11, 2024

A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
Sanaullah, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut
Machine Learning Model CNN Model Traditional Convolutional Convolutional Spiking Neural Network

June 27, 2024

Spiking Convolutional Neural Networks for Text Classification
Changze Lv, Jianhan Xu, Xiaoqing Zheng
Deep Neural Network Text Classification Spike Train Pre Trained Embeddings Convolutional Spiking Neural Network

June 19, 2024

Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting
Shuai Wang, Dehao Zhang, Kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang
Spiking Neural Network Feature Extraction Keyword Spotting Google Speech Command Convolutional Spiking Neural Network Global Convolution

March 30, 2024

SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks
Anil Bayram Gogebakan, Enrico Magliano, Alessio Carpegna, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo
Fault Injection Convolutional Spiking Neural Network Spiking Element Wise Fault Resilience

January 30, 2024

Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data
Lea Steffen, Thomas Trapp, Arne Roennau, Rüdiger Dillmann
Convolutional Neural Network Sensor Fusion Gesture Recognition Neuromorphic Approach Modality Fusion Convolutional Spiking Neural Network Temporal Encoding

January 21, 2024

Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer
Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu
Human Prediction Seizure Detection Spiking Transformer Seizure Prediction Convolutional Spiking Neural Network Conformer Model

January 4, 2024

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
Zhaokun Zhou, Kaiwei Che, Wei Fang, Keyu Tian, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan
Supervised ImageNet Spiking Neural Network Spiking Transformer Convolutional Spiking Neural Network Accuracy on the Line Spikformer Architecture

November 18, 2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures
Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
Spiking Neural Network Lottery Ticket Hypothesis Sparse Structure Convolutional Spiking Neural Network DNN Pruning

September 22, 2023

S3TC: Spiking Separated Spatial and Temporal Convolutions with Unsupervised STDP-based Learning for Action Recognition
Mireille El-Assal, Pierre Tirilly, Ioan Marius Bilasco
Action Recognition 2 Dimensional Neuromorphic Hardware Video Analysis Spike Timing Dependent Plasticity Temporal Convolution Convolutional Spiking Neural Network Spatial Distancing

June 23, 2023

Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition
Mireille El-Assal, Pierre Tirilly, Ioan Marius Bilasco
Deep Convolutional Neural Network Action Recognition Spike Timing Dependent Plasticity Convolutional Spiking Neural Network Two Stream Unsupervised Anomaly

May 18, 2023

SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks
Henrique Branquinho, Nuno Lourenço, Ernesto Costa
Spiking Neural Network SNN Model Convolutional Spiking Neural Network Spike Based Backpropagation Grammatical Evolution

May 17, 2023

Spiking Generative Adversarial Network with Attention Scoring Decoding
Linghao Feng, Dongcheng Zhao, Yi Zeng
Generative Model Generative Adversarial Network Convolutional Spiking Neural Network Brain Like Attention Decoder

April 21, 2023

A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces
Yiming Ai, Bipin Rajendran
Gesture Recognition Brain Signal Hand Gesture Recognition Convolutional Spiking Neural Network

August 14, 2022

Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram
Nathan Lutes, Venkata Sriram Siddhardh Nadendla, K. Krishnamurthy
Convolutional Neural Network Brain Electroencephalography Event Related Potential Convolutional Spiking Neural Network

May 26, 2022

2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition
Mireille El-Assal, Pierre Tirilly, Ioan Marius Bilasco
Computer Vision 2 Dimensional Human Action Recognition 3D Convolutional Spike Timing Dependent Plasticity Convolutional Spiking Neural Network

March 23, 2022

Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks
Jan Sommer, M. Akif Özkan, Oliver Keszocze, Jürgen Teich
Spiking Neural Network Activation Sparsity Binary Spike Hardware Acceleration Convolutional Spiking Neural Network Output Activation

November 9, 2021

Unsupervised Spiking Instance Segmentation on Event Data using STDP
Paul Kirkland, Davide L. Manna, Alex Vicente-Sola, Gaetano Di Caterina
Spiking Neural Network Instance Segmentation Event Data Event Based Vision Convolutional Spiking Neural Network Neuromorphic Engineering

Convolutional Spiking Neural Network

Papers

The Potential of Combined Learning Strategies to Enhance Energy Efficiency of Spiking Neuromorphic Systems

Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics

Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware

A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models

Spiking Convolutional Neural Networks for Text Classification

Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting

SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks

Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data

Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

Pursing the Sparse Limitation of Spiking Deep Learning Structures

S3TC: Spiking Separated Spatial and Temporal Convolutions with Unsupervised STDP-based Learning for Action Recognition

Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition

SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks

Spiking Generative Adversarial Network with Attention Scoring Decoding

A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces

Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram

2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition

Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks

Unsupervised Spiking Instance Segmentation on Event Data using STDP