Copertina

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ferdaoussi, Ahmad El, Plourde, Eric, Rouat, Jean
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Amortized Inference of Neuron Parameters on Analog Neuromorphic Hardware
di: Kaiser, Jakob, et al.
Pubblicazione: (2026)

Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning
di: Sun, Yinqian, et al.
Pubblicazione: (2023)

Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons
di: Boeshertz, Gauthier, et al.
Pubblicazione: (2024)

STEMNIST: Spiking Tactile Extended MNIST Neuromorphic Dataset
di: Tripathi, Anubhab, et al.
Pubblicazione: (2026)

General Self-Prediction Enhancement for Spiking Neurons
di: Huang, Zihan, et al.
Pubblicazione: (2026)

Adaptive Spiking Neurons for Vision and Language Modeling
di: Zhou, Chenlin, et al.
Pubblicazione: (2026)

SpikeAtConv: An Integrated Spiking-Convolutional Attention Architecture for Energy-Efficient Neuromorphic Vision Processing
di: Liao, Wangdan, et al.
Pubblicazione: (2024)

Toward Relative Positional Encoding in Spiking Transformers
di: Lv, Changze, et al.
Pubblicazione: (2025)

Spiking Neural Network Phase Encoding for Cognitive Computing
di: Zhang, Lei
Pubblicazione: (2024)

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
di: Yin, Yujia, et al.
Pubblicazione: (2024)

The Potential of Combined Learning Strategies to Enhance Energy Efficiency of Spiking Neuromorphic Systems
di: Sichani, Ali Shiri, et al.
Pubblicazione: (2024)

Learning Neuron Dynamics within Deep Spiking Neural Networks
di: Jahns, Eric, et al.
Pubblicazione: (2025)

TMN: A Lightweight Neuron Model for Efficient Nonlinear Spike Representation
di: Gu, Yiwen, et al.
Pubblicazione: (2024)

CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
di: Huang, Yulong, et al.
Pubblicazione: (2024)

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
di: Xue, Peng, et al.
Pubblicazione: (2025)

Neuromorphic Circuits with Spiking Astrocytes for Increased Energy Efficiency, Fault Tolerance, and Memory Capacitance
di: Yunusoglu, Aybars, et al.
Pubblicazione: (2025)

FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
di: Choi, Jongmin, et al.
Pubblicazione: (2026)

Ternary Spiking Neural Networks Enhanced by Complemented Neurons and Membrane Potential Aggregation
di: Zhang, Boxuan, et al.
Pubblicazione: (2026)

Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning
di: Sun, Yinqian, et al.
Pubblicazione: (2025)

NeuromorphicRx: From Neural to Spiking Receiver
di: Gupta, Ankit, et al.
Pubblicazione: (2025)

Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding
di: He, Huaxu
Pubblicazione: (2024)

Sparse Spike Encoding of Channel Responses for Energy Efficient Human Activity Recognition
di: Cicciarella, Eleonora, et al.
Pubblicazione: (2026)

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing
di: Chen, Xinyi, et al.
Pubblicazione: (2024)

PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
di: Huang, Yulong, et al.
Pubblicazione: (2024)

Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition
di: Ahmed, Tauseef, et al.
Pubblicazione: (2026)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
di: Murad, Taslim, et al.
Pubblicazione: (2024)

Neuromorphic Control for 3D Navigation in Minecraft Using Genetic Algorithms
di: Zipor, Eric
Pubblicazione: (2026)

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
di: Zhang, Shimin, et al.
Pubblicazione: (2023)

From Silicon to Spikes: System-Wide Efficiency Gains via Exact Event-Driven Training in Neuromorphic Computing
di: Ferdowsi, Arman, et al.
Pubblicazione: (2025)

An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks
di: Ucpinar, Beyza Zeynep, et al.
Pubblicazione: (2023)

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

Genesis: A Spiking Neuromorphic Accelerator With On-chip Continual Learning
di: Karia, Vedant, et al.
Pubblicazione: (2025)

Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems
di: Hwang, Chanwook, et al.
Pubblicazione: (2025)

Scalable Network Emulation on Analog Neuromorphic Hardware
di: Arnold, Elias, et al.
Pubblicazione: (2024)

$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
di: Shen, Guobin, et al.
Pubblicazione: (2025)

Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware
di: Schmidt, Hartmut, et al.
Pubblicazione: (2024)

A Practical Guide to Tuning Spiking Neuronal Dynamics
di: Gebhardt, William, et al.
Pubblicazione: (2025)

jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware
di: Müller, Eric, et al.
Pubblicazione: (2024)

Improving Low-Latency Learning Performance in Spiking Neural Networks via a Change-Perceptive Dendrite-Soma-Axon Neuron
di: Huang, Zeyu, et al.
Pubblicazione: (2025)