Image de couverture de livre

SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Padovano, Dario, Carpegna, Alessio, Savino, Alessandro, Di Carlo, Stefano
Format:	Preprint
Publié:	2024
Sujets:	Neural and Evolutionary Computing Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge
par: Carpegna, Alessio, et autres
Publié: (2024)

Energy-Efficient Digital Design: A Comparative Study of Event-Driven and Clock-Driven Spiking Neurons
par: Marostica, Filippo, et autres
Publié: (2025)

Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks
par: Saeedi, Sepide, et autres
Publié: (2022)

Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks
par: Caviglia, Alessio, et autres
Publié: (2026)

SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks
par: Gogebakan, Anil Bayram, et autres
Publié: (2024)

NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework
par: Caviglia, Alessio, et autres
Publié: (2026)

Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
par: Dequino, Alberto, et autres
Publié: (2024)

SFATTI: Spiking FPGA Accelerator for Temporal Task-driven Inference -- A Case Study on MNIST
par: Caviglia, Alessio, et autres
Publié: (2025)

A feedback control optimizer for online and hardware-aware training of Spiking Neural Networks
par: Saponati, Matteo, et autres
Publié: (2026)

Learning with Spike Synchrony in Spiking Neural Networks
par: Tian, Yuchen, et autres
Publié: (2025)

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
par: Saiin, Ryuji, et autres
Publié: (2023)

SpikeFI: A Fault Injection Framework for Spiking Neural Networks
par: Spyrou, Theofilos, et autres
Publié: (2024)

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
par: Ma, Chenxiang, et autres
Publié: (2025)

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning
par: Gautam, Ashish, et autres
Publié: (2025)

Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker
par: Davies, Sergio, et autres
Publié: (2023)

Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
par: Ding, Yongqi, et autres
Publié: (2026)

Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
par: Li, Yaxin, et autres
Publié: (2024)

Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations
par: Mamoń, Szymon, et autres
Publié: (2026)

Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
par: Yu, Ziqiao, et autres
Publié: (2025)

Parallel Hyperparameter Optimization Of Spiking Neural Network
par: Firmin, Thomas, et autres
Publié: (2024)

Continual Learning with Columnar Spiking Neural Networks
par: Larionov, Denis, et autres
Publié: (2025)

Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity
par: Girão, Willian Soares, et autres
Publié: (2025)

Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
par: Koopman, Roel, et autres
Publié: (2024)

Spiking Neural Networks: The Future of Brain-Inspired Computing
par: Aribe Jr, Sales G.
Publié: (2025)

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
par: Han, Bing, et autres
Publié: (2023)

Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
par: Raptis, Spyridon, et autres
Publié: (2025)

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
par: Zhang, Boxuan, et autres
Publié: (2025)

Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
par: Zhang, Shao-Qun, et autres
Publié: (2026)

Spikingformer: A Key Foundation Model for Spiking Neural Networks
par: Zhou, Chenlin, et autres
Publié: (2023)

Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
par: Pan, Wenxuan, et autres
Publié: (2024)

TS-SNN: Temporal Shift Module for Spiking Neural Networks
par: Yu, Kairong, et autres
Publié: (2025)

Elastic Spiking Transformers for Efficient Gesture Understanding
par: Ancilotto, Alberto, et autres
Publié: (2026)

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
par: Mehrabi, Ali, et autres
Publié: (2023)

Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
par: Chakraborty, Biswadeep, et autres
Publié: (2024)

Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis
par: Zhou, Yunduo, et autres
Publié: (2025)

Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
par: Cai, Wuque, et autres
Publié: (2026)

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
par: Xiao, Mingqing, et autres
Publié: (2024)

Neural Dynamics Self-Attention for Spiking Transformers
par: Zhang, Dehao, et autres
Publié: (2026)

Spark: Modular Spiking Neural Networks
par: Franco, Mario, et autres
Publié: (2026)

Continuous Spiking Graph Neural Networks
par: Yin, Nan, et autres
Publié: (2024)