A Low-Cost Real-Time Spiking System for Obstacle Detection based on Ultrasonic Sensors and Rate Coding
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Ayuso-Martinez, Alvaro, Casanueva-Morato, Daniel, Dominguez-Morales, Juan Pedro, Jimenez-Fernandez, Angel, Jimenez-Moreno, Gabriel |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Towards spiking analog hardware implementation of a trajectory interpolation mechanism for smooth closed-loop control of a spiking robot arm
par: Casanueva-Morato, Daniel, et autres
Publié: (2025)
par: Casanueva-Morato, Daniel, et autres
Publié: (2025)
Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
par: Yu, Ziqiao, et autres
Publié: (2025)
par: Yu, Ziqiao, et autres
Publié: (2025)
Stochastic Spiking Neural Networks with First-to-Spike Coding
par: Jiang, Yi, et autres
Publié: (2024)
par: Jiang, Yi, et autres
Publié: (2024)
Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
par: Liu, Qianhui, et autres
Publié: (2025)
par: Liu, Qianhui, et autres
Publié: (2025)
A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency
par: Lu, Yi, et autres
Publié: (2026)
par: Lu, Yi, et autres
Publié: (2026)
Unsupervised Sparse Coding-based Spiking Neural Network for Real-time Spike Sorting
par: Melot, Alexis, et autres
Publié: (2025)
par: Melot, Alexis, et autres
Publié: (2025)
Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
par: Nhan, Luu Trong, et autres
Publié: (2025)
par: Nhan, Luu Trong, et autres
Publié: (2025)
Word2Spike: Poisson Rate Coding for Associative Memories and Neuromorphic Algorithms
par: Kalra, Archit, et autres
Publié: (2025)
par: Kalra, Archit, et autres
Publié: (2025)
Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
par: Che, Kaiwei, et autres
Publié: (2024)
par: Che, Kaiwei, et autres
Publié: (2024)
A Memetic NSGA-III for Green Flexible Production with Real-Time Energy Costs & Emissions
par: Burmeister, Sascha C
Publié: (2024)
par: Burmeister, Sascha C
Publié: (2024)
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks
par: Qiu, Xuerui, et autres
Publié: (2023)
par: Qiu, Xuerui, et autres
Publié: (2023)
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
par: Chen, Xinyi, et autres
Publié: (2023)
par: Chen, Xinyi, et autres
Publié: (2023)
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
par: Lv, Changze, et autres
Publié: (2024)
par: Lv, Changze, et autres
Publié: (2024)
Polarisation-Inclusive Spiking Neural Networks for Real-Time RFI Detection in Modern Radio Telescopes
par: Pritchard, Nicholas J., et autres
Publié: (2025)
par: Pritchard, Nicholas J., et autres
Publié: (2025)
Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion
par: Li, Chen, et autres
Publié: (2024)
par: Li, Chen, et autres
Publié: (2024)
A Robust, Open-Source Framework for Spiking Neural Networks on Low-End FPGAs
par: Fan, Andrew, et autres
Publié: (2025)
par: Fan, Andrew, et autres
Publié: (2025)
High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost
par: Hu, JiaKui, et autres
Publié: (2024)
par: Hu, JiaKui, et autres
Publié: (2024)
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
par: Aguettaz, Hugo, et autres
Publié: (2024)
par: Aguettaz, Hugo, et autres
Publié: (2024)
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
par: Nguyen, Duc Anh, et autres
Publié: (2025)
par: Nguyen, Duc Anh, et autres
Publié: (2025)
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
par: Li, Yang, et autres
Publié: (2024)
par: Li, Yang, et autres
Publié: (2024)
SpikePool: Event-driven Spiking Transformer with Pooling Attention
par: Lee, Donghyun, et autres
Publié: (2025)
par: Lee, Donghyun, et autres
Publié: (2025)
Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram
par: Lutes, Nathan, et autres
Publié: (2022)
par: Lutes, Nathan, et autres
Publié: (2022)
A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
par: Ahmadvand, Reza, et autres
Publié: (2026)
par: Ahmadvand, Reza, et autres
Publié: (2026)
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
par: Pes, Lorenzo, et autres
Publié: (2024)
par: Pes, Lorenzo, et autres
Publié: (2024)
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
par: Feng, Linghao, et autres
Publié: (2024)
par: Feng, Linghao, et autres
Publié: (2024)
Spiking Wavelet Transformer
par: Fang, Yuetong, et autres
Publié: (2024)
par: Fang, Yuetong, et autres
Publié: (2024)
Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification
par: Mishra, Abhishek, et autres
Publié: (2024)
par: Mishra, Abhishek, et autres
Publié: (2024)
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
par: Bal, Malyaban, et autres
Publié: (2023)
par: Bal, Malyaban, et autres
Publié: (2023)
$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
par: Shen, Guobin, et autres
Publié: (2025)
par: Shen, Guobin, et autres
Publié: (2025)
Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding
par: He, Huaxu
Publié: (2024)
par: He, Huaxu
Publié: (2024)
Expressivity of Spiking Neural Networks
par: Singh, Manjot, et autres
Publié: (2023)
par: Singh, Manjot, et autres
Publié: (2023)
Quantization Meets Spikes: Lossless Conversion in the First Timestep via Polarity Multi-Spike Mapping
par: Zhang, Hangming, et autres
Publié: (2025)
par: Zhang, Hangming, et autres
Publié: (2025)
SpikeAtConv: An Integrated Spiking-Convolutional Attention Architecture for Energy-Efficient Neuromorphic Vision Processing
par: Liao, Wangdan, et autres
Publié: (2024)
par: Liao, Wangdan, et autres
Publié: (2024)
STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data
par: Hens, Freek, et autres
Publié: (2024)
par: Hens, Freek, et autres
Publié: (2024)
Energy-Efficient Eimeria Parasite Detection Using a Two-Stage Spiking Neural Network Architecture
par: García-Vico, Ángel Miguel, et autres
Publié: (2025)
par: García-Vico, Ángel Miguel, et autres
Publié: (2025)
P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks
par: Bal, Malyaban, et autres
Publié: (2024)
par: Bal, Malyaban, et autres
Publié: (2024)
Improving Low-Latency Learning Performance in Spiking Neural Networks via a Change-Perceptive Dendrite-Soma-Axon Neuron
par: Huang, Zeyu, et autres
Publié: (2025)
par: Huang, Zeyu, et autres
Publié: (2025)
A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training
par: Mirsadeghi, Maryam, et autres
Publié: (2026)
par: Mirsadeghi, Maryam, et autres
Publié: (2026)
Robust Stable Spiking Neural Networks
par: Ding, Jianhao, et autres
Publié: (2024)
par: Ding, Jianhao, et autres
Publié: (2024)
Spiking Transformer with Spatial-Temporal Attention
par: Lee, Donghyun, et autres
Publié: (2024)
par: Lee, Donghyun, et autres
Publié: (2024)
Documents similaires
-
Towards spiking analog hardware implementation of a trajectory interpolation mechanism for smooth closed-loop control of a spiking robot arm
par: Casanueva-Morato, Daniel, et autres
Publié: (2025) -
Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
par: Yu, Ziqiao, et autres
Publié: (2025) -
Stochastic Spiking Neural Networks with First-to-Spike Coding
par: Jiang, Yi, et autres
Publié: (2024) -
Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
par: Liu, Qianhui, et autres
Publié: (2025) -
A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency
par: Lu, Yi, et autres
Publié: (2026)