Spike Timing

Spike timing, the precise temporal arrangement of neuronal firings, is a crucial aspect of neural computation, with research focusing on understanding its role in information processing and developing more efficient and biologically realistic artificial neural networks (SNNs). Current research emphasizes developing novel training algorithms for SNNs, including those based on backpropagation and homeostatic mechanisms, and exploring different spike coding schemes like time-to-first-spike and rate coding within various architectures such as convolutional and recurrent networks. This research is significant for advancing our understanding of biological neural systems and for creating energy-efficient, robust neuromorphic computing systems with applications in areas like robotics, signal processing, and pattern recognition.

Papers

October 31, 2024

ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron
Kaiwei Che, Wei Fang, Zhengyu Ma, Li Yuan, Timothée Masquelier, Yonghong Tian
Spiking Neural Network Neuromorphic Hardware Spike Timing

September 4, 2024

A Low-Cost Real-Time Spiking System for Obstacle Detection based on Ultrasonic Sensors and Rate Coding
Alvaro Ayuso-Martinez, Daniel Casanueva-Morato, Juan Pedro Dominguez-Morales, Angel Jimenez-Fernandez, Gabriel Jimenez-Moreno
Spiking Neural Network System Description Obstacle Detection Spike Timing Rate Reduction Ultrasonic Sensor

August 6, 2024

Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks
Dylan Adams, Magda Zajaczkowska, Ashiq Anjum, Andrea Soltoggio, Shirin Dora
Spiking Neural Network Energy Efficiency Spike Timing Synaptic Change

July 28, 2024

To Spike or Not to Spike, that is the Question
Sanaz Mahmoodi Takaghaj, Jack Sampson
Neuromorphic Datasets Spike Timing Dead Neuron Adaptive Threshold Spike Threshold Robust SNN

June 3, 2024

Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification
Mateusz Pabian, Dominik Rzepka, Mirosław Pawlak
Neural Network End to End Spike Train Spike Timing Twitter Bot Detection

May 22, 2024

Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
Christian Holberg, Cristopher Salvi
Stochastic Way Stochastic Differential Equation Spike Timing Weak Signal Exact Gradient Rough Path

April 30, 2024

Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
Lorenzo Pes, Rick Luiken, Federico Corradi, Charlotte Frenkel
Neural Network Catastrophic Forgetting Spike Timing Temporal GNN Active Dendrite Pyramidal Neuron

November 19, 2023

Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
Luke Taylor, Andrew J King, Nicol S Harper
Neural Model Single Neuron Level Computational Neuroscience Fast Simulation Spike Timing Electrophysiological Data LIF Model

November 17, 2023

On exploiting the synaptic interaction properties to obtain frequency-specific neurons
Guillaume Marthe, Claire Goursaud, Romain Cazé, Laurent Clavier
Circuit Design Spike Timing Synaptic Connectivity Analog Computing Synaptic Delay Task Specific Neuron

October 23, 2023

LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding
Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li
Neural Network Spike Timing Lossless Transformation

October 13, 2023

Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data
Pauline Mouches, Thibaut Dejean, Julien Jung, Romain Bouet, Carole Lartizien, Romain Quentin
CNN Network Spike Timing Magnetoencephalography Data

October 11, 2023

Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end
Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik
Spike Timing Spike Encoding Gas Concentration Airflow Embedded Gas Injection

June 14, 2023

High-performance deep spiking neural networks with 0.3 spikes per neuron
Ana Stanojevic, Stanisław Woźniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
Neural Network Spiking Neural Network Single Neuron Level Spike Protein High Performance Binary Spike Spike Timing

June 9, 2023

Spike timing reshapes robustness against attacks in spiking neural networks
Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
Neural Network New Attack Single Neuron Level Spike Timing Neural Encoding Neural Spike

November 29, 2022

Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions
Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara
Spiking Neural Network Back Propagation Individual Neuron Spike Timing Single Spike

November 11, 2022

Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
Hao Zheng, Hui Lin, Rong Zhao, Luping Shi
Right Problem Attention Based Model Hybrid Neural Network Spike Timing Temporal Learning Ann Bp

October 27, 2022

Local learning through propagation delays in spiking neural networks
Jørgen Jensen Farner, Ola Huse Ramstad, Stefano Nichele, Kristine Heiney
Neural Network Local Learning Spike Timing Three Layer Neural Network Local Learning Rule Propagation Delay

August 9, 2022

A Time-to-first-spike Coding and Conversion Aware Training for Energy-Efficient Deep Spiking Neural Network Processor Design
Dongwoo Lew, Kyungchul Lee, Jongsun Park
State of the Art Programming Assistance Energy Efficient Spike Timing SNN Conversion Deep Spiking Neural Network Conversion Rate Prediction

July 14, 2022

Efficient spike encoding algorithms for neuromorphic speech recognition
Sidi Yaya Arnaud Yarga, Jean Rouat, Sean U. N. Wood
Practical Algorithm Spiking Neural Network Neuromorphic Computing Spike Train Spike Protein Neuromorphic Processor Spike Timing

May 26, 2022

Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training
Ankita Paul, Stefan Wagner, Anup Das
LeArning Abstract Spiking Neural Network Spike Timing Learning With Error Recurrent Layer

Spike Timing

Papers

ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron

A Low-Cost Real-Time Spiking System for Obstacle Detection based on Ultrasonic Sensors and Rate Coding

Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks

To Spike or Not to Spike, that is the Question

Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification

Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks

Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons

On exploiting the synaptic interaction properties to obtain frequency-specific neurons

LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding

Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data

Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end

High-performance deep spiking neural networks with 0.3 spikes per neuron

Spike timing reshapes robustness against attacks in spiking neural networks

Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions

Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention

Local learning through propagation delays in spiking neural networks

A Time-to-first-spike Coding and Conversion Aware Training for Energy-Efficient Deep Spiking Neural Network Processor Design

Efficient spike encoding algorithms for neuromorphic speech recognition

Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training