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Hardware Spiking Neural Networks with Pair-Based STDP Using Stochastic Computing
Spiking Neural Networks (SNNs) can closely mimic the biological neural network systems. Recently, the SNNs have been developed in hardware circuits...
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Dynamic Obstacle Avoidance for Unmanned Aerial Vehicle Using Dynamic Vision Sensor
Obstacle avoidance in dynamic environments is a critical issue in unmanned aerial vehicle (UAV) applications. Current solutions rely on deep...
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An Extensive Review of the Supervised Learning Algorithms for Spiking Neural Networks
A Spiking Neural Network (SNN) processes neural information through precise timing of spikes and is considered a brain-inspired computational model...
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MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks
Spiking neural networks (SNNs) can do inference with low power consumption due to their spike sparsity. Although SNNs can be combined with...
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The Spiking Rates Inspired Encoder and Decoder for Spiking Neural Networks: An Illustration of Hand Gesture Recognition
The spiking neural network (SNN) is the third generation of artificial neural networks. The transmission and expression of information in SNN are...
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Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
Spiking neural networks (SNNs) can be used in low-power and embedded systems e.g. neuromorphic chips due to their event-based nature. They preserve...
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Image Classification with Recurrent Spiking Neural Networks
In this work we test some state of the art works in Spiking Neural Networks (SNN) to train them using surrogate gradients and using different loss...
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Sleep-Dependent Memory Replay Enables Brain-Like Robustness in Neural Networks
Sleep is known to play a crucial role in memory and learning processes. During sleep, the replay of neural activity patterns associated with recent...
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Evolutionary spiking neural networks: a survey
Spiking neural networks (SNNs) are gaining increasing attention as potential computationally efficient alternatives to traditional artificial neural...
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A Rapid and Precise Spiking Neural Network for Image Recognition
Spiking neural network is a new information processing method that combines energy conservation and biologic plausibility. With the development of...
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Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus
Hippocampal area CA3 performs the critical auto-associative function underlying pattern completion in episodic memory. Without external inputs, the...
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Accelerating Allen Brain Institute’s Large-Scale Computational Model of Mice Primary Visual Cortex
Efficient simulation of large-scale biological neural networks is important for studying the working mechanisms of the brain. Allen Brain Institute...
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SMT-Based Modeling and Verification of Spiking Neural Networks: A Case Study
In this paper, we present a case study on modeling and verification of Spiking Neural Networks (SNN) using Satisfiability Modulo Theory (SMT)...
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Control of Pneumatic Artificial Muscles with SNN-based Cerebellar-Like Model
Soft robotics technologies have gained growing interest in recent years, which allows various applications from manufacturing to human-robot...
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Simulating a complete Tritonia escape swim network using a novel event-based spiking neural network algorithm
Tritonia has been studied in the laboratory by several studies, which have led to significant advances in identifying the biological components that...
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Brain-Inspired Binaural Sound Source Localization Method Based on Liquid State Machine
Binaural Sound Source Localization (BSSL) is a remarkable topic in robot design and human hearing aid. A great number of algorithms flourished due to...
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Spike-EFI: Spiking Neural Network for Event-Based Video Frame Interpolation
In order to model complex motions between video frames more accurately, many video frame interpolation methods have introduced event cameras to...
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Hardware Implementation for Spiking Neural Networks on Edge Devices
In the modern data-intensive Internet of Things (IoT) applications, intelligence is enabled by collecting data at the edge devices for processing....
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Lateral Interactions Spiking Actor Network for Reinforcement Learning
Spiking neural network (SNN) has been shown to be a biologically plausible and energy efficient alternative to Deep Neural Network in Reinforcement...