Imagen de Portada

Word2Spike: Poisson Rate Coding for Associative Memories and Neuromorphic Algorithms

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kalra, Archit, Sadanand, Midhun
Formato:	Preprint
Publicado:	2025
Materias:	Neural and Evolutionary Computing Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
por: Yu, Ziqiao, et al.
Publicado: (2025)

Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems
por: Calle-Ortiz, Eduardo, et al.
Publicado: (2025)

Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network
por: Zhang, Duzhen, et al.
Publicado: (2022)

Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
por: Xiao, Mingqing, et al.
Publicado: (2024)

Learning with Spike Synchrony in Spiking Neural Networks
por: Tian, Yuchen, et al.
Publicado: (2025)

Sequential Learning in the Dense Associative Memory
por: McAlister, Hayden, et al.
Publicado: (2024)

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
por: Saiin, Ryuji, et al.
Publicado: (2023)

Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge
por: Niedermeier, L., et al.
Publicado: (2026)

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
por: Ma, Chenxiang, et al.
Publicado: (2025)

SpikeFI: A Fault Injection Framework for Spiking Neural Networks
por: Spyrou, Theofilos, et al.
Publicado: (2024)

Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
por: Meem, Anika Tabassum, et al.
Publicado: (2026)

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling
por: Zhan, Qiugang, et al.
Publicado: (2023)

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

Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
por: Ding, Yongqi, et al.
Publicado: (2026)

SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA
por: Padovano, Dario, et al.
Publicado: (2024)

Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
por: Li, Yaxin, et al.
Publicado: (2024)

Stabilizing Spiking Neuron Training
por: Herranz-Celotti, Luca, et al.
Publicado: (2022)

Modality-Dependent Memory Mechanisms in Cross-Modal Neuromorphic Computing
por: Blessing, Effiong, et al.
Publicado: (2025)

Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity
por: Girão, Willian Soares, et al.
Publicado: (2025)

Mamba-Spike: Enhancing the Mamba Architecture with a Spiking Front-End for Efficient Temporal Data Processing
por: Qin, Jiahao, et al.
Publicado: (2024)

The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
por: Renner, Alpha, et al.
Publicado: (2021)

Spike-driven Large Language Model
por: Xu, Han, et al.
Publicado: (2026)

NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
por: Walters, Ben, et al.
Publicado: (2025)

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

Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
por: Stewart, Kenneth, et al.
Publicado: (2024)

SpikeMLLM: Spike-based Multimodal Large Language Models via Modality-Specific Temporal Scales and Temporal Compression
por: Xu, Han, et al.
Publicado: (2026)

Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
por: van Stein, Niki, et al.
Publicado: (2025)

Continual Learning with Columnar Spiking Neural Networks
por: Larionov, Denis, et al.
Publicado: (2025)

Parallel Hyperparameter Optimization Of Spiking Neural Network
por: Firmin, Thomas, et al.
Publicado: (2024)

Neural Dynamics Self-Attention for Spiking Transformers
por: Zhang, Dehao, et al.
Publicado: (2026)

Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2024)

Application of Machine Learning for Correcting Defect-induced Neuromorphic Circuit Inference Errors
por: Sawal, Vedant, et al.
Publicado: (2025)

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

Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing
por: Terres-Escudero, Erik B., et al.
Publicado: (2024)

Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware
por: Cotteret, Madison, et al.
Publicado: (2024)

Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
por: Koopman, Roel, et al.
Publicado: (2024)

One-Spike SNN: Single-Spike Phase Coding with Base Manipulation for ANN-to-SNN Conversion Loss Minimization
por: Hwang, Sangwoo, et al.
Publicado: (2024)

Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
por: Raptis, Spyridon, et al.
Publicado: (2025)

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
por: Zhang, Boxuan, et al.
Publicado: (2025)

TS-SNN: Temporal Shift Module for Spiking Neural Networks
por: Yu, Kairong, et al.
Publicado: (2025)