Copertina

Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Niedermeier, L., Krichmar, J. L.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Hardware Architecture Artificial Intelligence Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An Integrated Toolbox for Creating Neuromorphic Edge Applications
di: Niedermeier, Lars, et al.
Pubblicazione: (2024)

Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2025)

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
di: Xu, Boxun, et al.
Pubblicazione: (2025)

A Multi-Threading Kernel for Enabling Neuromorphic Edge Applications
di: Niedermeier, Lars, et al.
Pubblicazione: (2025)

UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
di: Xing, Qinghui, et al.
Pubblicazione: (2026)

SRAM-Based Compute-in-Memory Accelerator for Linear-decay Spiking Neural Networks
di: Shang, Hongyang, et al.
Pubblicazione: (2026)

LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks
di: Yin, Ruokai, et al.
Pubblicazione: (2024)

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration
di: Aizaz, Zainab, et al.
Pubblicazione: (2025)

Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge
di: Carpegna, Alessio, et al.
Pubblicazione: (2024)

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
di: Mehrabi, Ali, et al.
Pubblicazione: (2023)

SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
di: Gunawardana, Kanishka, et al.
Pubblicazione: (2026)

TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering
di: Vellaisamy, Prabhu, et al.
Pubblicazione: (2024)

NeuroNAS: Enhancing Efficiency of Neuromorphic In-Memory Computing for Intelligent Mobile Agents through Hardware-Aware Spiking Neural Architecture Search
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2024)

You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy
di: P, Srivatsa, et al.
Pubblicazione: (2020)

Fast Algorithms for Spiking Neural Network Simulation with FPGAs
di: Lindqvist, Björn A., et al.
Pubblicazione: (2024)

Analysis of a Memcapacitor-Based for Neural Network Accelerator Framework
di: Singh, Ankur, et al.
Pubblicazione: (2025)

Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers
di: Xu, Boxun, et al.
Pubblicazione: (2024)

TrIM, Triangular Input Movement Systolic Array for Convolutional Neural Networks: Architecture and Hardware Implementation
di: Sestito, Cristian, et al.
Pubblicazione: (2024)

YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap
di: Pachideh, Brian, et al.
Pubblicazione: (2026)

Ultra-Low-Power Spiking Neurons in 7 nm FinFET Technology: A Comparative Analysis of Leaky Integrate-and-Fire, Morris-Lecar, and Axon-Hillock Architectures
di: Larsh, Logan, et al.
Pubblicazione: (2025)

A 0.5-V Linear Neuromorphic Voltage-to-Spike Encoder Using a Bulk-Driven Transconductor
di: Akbari, Meysam, et al.
Pubblicazione: (2026)

When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design
di: Moitra, Abhishek, et al.
Pubblicazione: (2024)

STEMS: Spatial-Temporal Mapping For Spiking Neural Networks
di: Eissa, Sherif, et al.
Pubblicazione: (2025)

Neuroevolving Electronic Dynamical Networks
di: Whitley, Derek
Pubblicazione: (2024)

Spiking Manifesto
di: Izhikevich, Eugene
Pubblicazione: (2025)

Flexi-NeurA: A Configurable Neuromorphic Accelerator with Adaptive Bit-Precision Exploration for Edge SNNs
di: Farahani, Mohammad, et al.
Pubblicazione: (2026)

To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration
di: Ottati, Fabrizio, et al.
Pubblicazione: (2023)

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training
di: Zhu, Xueke, et al.
Pubblicazione: (2024)

Hybrid Synaptic Structure for Spiking Neural Network Realization
di: Razmkhah, Sasan, et al.
Pubblicazione: (2023)

Deep-Unrolling Multidimensional Harmonic Retrieval Algorithms on Neuromorphic Hardware
di: Andrei, Vlad C., et al.
Pubblicazione: (2024)

Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing
di: Knunyants, Ivan, et al.
Pubblicazione: (2025)

Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2
di: Abreu, Steven, et al.
Pubblicazione: (2025)

A Quarter of a Century of Neuromorphic Architectures on FPGAs -- an Overview
di: Szczerek, Wiktor J., et al.
Pubblicazione: (2025)

A Deep Neural Network Deployment Based on Resistive Memory Accelerator Simulation
di: Maram, Tejaswanth Reddy, et al.
Pubblicazione: (2023)

IzhiRISC-V -- a RISC-V-based Processor with Custom ISA Extension for Spiking Neuron Networks Processing with Izhikevich Neurons
di: Szczerek, Wiktor J., et al.
Pubblicazione: (2025)

A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
di: Quintana, Fernando M., et al.
Pubblicazione: (2024)

FeNN-DMA: A RISC-V SoC for SNN acceleration
di: Aizaz, Zainab, et al.
Pubblicazione: (2025)

Implémentation Efficiente de Fonctions de Convolution sur FPGA à l'Aide de Blocs Paramétrables et d'Approximations Polynomiales
di: Magalhães, Philippe, et al.
Pubblicazione: (2025)

What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips
di: Li, Renjie, et al.
Pubblicazione: (2025)

A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware
di: Ronzani, Marco, et al.
Pubblicazione: (2026)