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Training Spiking Neural Networks Using Lessons From Deep Learning

https://doi.org/10.1109/jproc.2023.3308088

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Adam: A Method for Stochastic Optimization

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Positioning and tracking enhancement through a spiking Legendre memory unit

inferred← citeshttps://doi.org/10.1016/j.infrared.2026.106417openalex-snapshot

DWPCNNFusion: Deep pulse-coupled neural networks incorporating Weber’s law for efficient infrared and visible image fusion

inferred← citeshttps://doi.org/10.1016/j.isci.2024.111037openalex-snapshot

Graph spiking neural network for advanced urban flood risk assessment

inferred← citeshttps://doi.org/10.1016/j.jallcom.2026.186308openalex-snapshot

Spiking neural network-driven UV-Vis-NIR multispectral sensing based on self-powered PbS/ITZO/GaN photodetectors

inferred← citeshttps://doi.org/10.1016/j.jcp.2024.113266openalex-snapshot

Neuroscience inspired neural operator for partial differential equations

inferred← citeshttps://doi.org/10.1016/j.jii.2025.100944openalex-snapshot

Adaptive threshold in Leaky-Integrated-and-Fire function for audio-based industrial diagnosis

inferred← citeshttps://doi.org/10.1016/j.jmps.2025.106152openalex-snapshot

Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112037openalex-snapshot

PatchesNet: PatchTST-based multi-scale network security situation prediction

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115814openalex-snapshot

Reinforcement-guided hyper-heuristic hyperparameter optimization for fair and explainable spiking neural network-based financial fraud detection

inferred← citeshttps://doi.org/10.1016/j.mee.2025.112408openalex-snapshot

Energy-efficient memristor-based spiking neural network for edge devices with a novel window function

inferred← citeshttps://doi.org/10.1016/j.micpro.2025.105187openalex-snapshot

DSL-based SNN accelerator design using Chisel

inferred← citeshttps://doi.org/10.1016/j.micpro.2026.105327openalex-snapshot

NeuroCompile: A hardware-aware optimization framework with a Lava code-generation prototype for spiking neural networks on the Neuromorphic Intermediate Representation

inferred← citeshttps://doi.org/10.1016/j.microc.2026.118008openalex-snapshot

Neural network for gas recognition based on MOS electronic nose: Algorithm design and hardware deployment

inferred← citeshttps://doi.org/10.1016/j.nanoen.2025.111261openalex-snapshot

Reset-dominant accurate synaptic weight mapping in passive memristor arrays for energy-efficient spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129070openalex-snapshot

Fast gradient-free activation maximization for neurons in spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130423openalex-snapshot

Adaptation and learning of spatio-temporal thresholds in spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130547openalex-snapshot

From hippocampal neurons to broad spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130814openalex-snapshot

Recurrent spiking neural networks as models of the entorhinal–hippocampal system for path integration: Grid cells and beyond

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131903openalex-snapshot

A spiking convolutional neural network for glioma brain tumor segmentation using a spike-timing-dependent plasticity method

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133430openalex-snapshot

A synaptic weight-delay synergistic learning algorithm for deep spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133572openalex-snapshot

Rat-SLAM with neuromorphic computing

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133759openalex-snapshot

Single-spike spatial learning and spatio-temporal reconstruction optimisation in spiking autoencoders

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133858openalex-snapshot

High-performance image classification via spiking vision transformer and an improved AA-LRSA attention mechanism

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134364openalex-snapshot

ChronoSpike: A low-cost, deterministic circuit-switched NoC for neuromorphic accelerators

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134542openalex-snapshot

Compute-in-memory compatible ANN-SNN conversion via ternary nonpolar neuron

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134580openalex-snapshot

Neuromorphic quantum computing: A survey and future directions in evolutionary and gradient-based learning strategies for quantum spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134748openalex-snapshot

A hybrid SNN-ANN co-training paradigm for SAR ships with heterogeneous views and auxiliary flow

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106494openalex-snapshot

Leveraging spiking neural networks for topic modeling

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106976openalex-snapshot

A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107256openalex-snapshot

Spiking neural networks on FPGA: A survey of methodologies and recent advancements

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108483openalex-snapshot

Zero-shot temporal resolution domain adaptation for spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108656openalex-snapshot

NG-SNN: A neurogenesis-inspired dynamic adaptive framework for efficient spike classification

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108830openalex-snapshot

Recurrent spiking neural networks with bimodal neuronal time scales for learning performance enhancement

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109245openalex-snapshot

HLSP-LSM: Enhancing image recognition performance of liquid state machines via brain-inspired hybrid long short-term plasticity

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109338openalex-snapshot

Enhancing spiking transformers with temporal feedback coding and global-local dynamic neurons

inferred← citeshttps://doi.org/10.1016/j.orgel.2024.107144openalex-snapshot

Proton-gated organic thin-film transistors for leaky integrate-and-fire convolutional spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.patrec.2024.08.002openalex-snapshot

Convolutional Spiking Neural Networks targeting learning and inference in highly imbalanced datasets

inferred← citeshttps://doi.org/10.1016/j.revip.2025.100120openalex-snapshot

Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming

inferred← citeshttps://doi.org/10.1016/j.sna.2026.117932openalex-snapshot

Achieving low drift in pressure sensors: A Parylene-caulked PDMS encapsulation method with AI-integrated for temperature compensation

inferred← citeshttps://doi.org/10.1016/j.snb.2025.138638openalex-snapshot

Intelligent detection and classification of tetracycline drugs by rare earth fluorescence sensing platform based on deep learning algorithm and STM32 microcontroller

inferred← citeshttps://doi.org/10.1016/j.sysarc.2025.103590openalex-snapshot

Mapping and scheduling spiking neural networks on segmented ladder bus architectures

inferred← citeshttps://doi.org/10.1016/j.sysarc.2025.103604openalex-snapshot

SpikeFlow: A hardware–software co-designed systolic array for spiking neural networks

inferred← citeshttps://doi.org/10.1016/j.sysarc.2026.103815openalex-snapshot

Energy-efficient neural networks for passive acoustic monitoring: A spiking neural network approach

inferred← citeshttps://doi.org/10.1017/s1759078723001575openalex-snapshot

RT-SCNNs: real-time spiking convolutional neural networks for a novel hand gesture recognition using time-domain mm-wave radar data

inferred← citeshttps://doi.org/10.1021/acs.chemrev.4c00049openalex-snapshot

Toward an AI Era: Advances in Electronic Skins

inferred← citeshttps://doi.org/10.1021/acsaelm.4c00482openalex-snapshot

Threshold Switching Memristor Based on 2D SnSe for Nociceptive and Leaky-Integrate and Fire Neuron Simulation

inferred← citeshttps://doi.org/10.1021/acsami.4c21417openalex-snapshot

Ferroelectric Hf0.5Zr0.5O2 with Enhanced Intermediate Polarization: A Platform for Neuromorphic and Logic-in-Memory Computing

inferred← citeshttps://doi.org/10.1021/acsnano.5c16255openalex-snapshot

Sub-2 nm Equivalent-Oxide-Thickness Ferroelectric Transistors for Cryogenic Memory and Computing

inferred← citeshttps://doi.org/10.1021/acsnano.5c19720openalex-snapshot

Event-Driven Neuromorphic Gaze Decoding via e-Skin Electrooculography

inferred← citeshttps://doi.org/10.1038/s41377-024-01502-5openalex-snapshot

EventLFM: event camera integrated Fourier light field microscopy for ultrafast 3D imaging

inferred← citeshttps://doi.org/10.1038/s41377-024-01698-6openalex-snapshot

From light sensing to adaptive learning: hafnium diselenide reconfigurable memcapacitive devices in neuromorphic computing

inferred← citeshttps://doi.org/10.1038/s41467-023-43034-3openalex-snapshot

Circular polarization-resolved ultraviolet photonic artificial synapse based on chiral perovskite

inferred← citeshttps://doi.org/10.1038/s41467-024-50490-yopenalex-snapshot

Ultra-low power carbon nanotube/porphyrin synaptic arrays for persistent photoconductivity and neuromorphic computing

inferred← citeshttps://doi.org/10.1038/s41467-024-52259-9openalex-snapshot

Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing

inferred← citeshttps://doi.org/10.1038/s41467-025-56739-4openalex-snapshot

The neurobench framework for benchmarking neuromorphic computing algorithms and systems

inferred← citeshttps://doi.org/10.1038/s41467-025-57352-1openalex-snapshot

The road to commercial success for neuromorphic technologies

inferred← citeshttps://doi.org/10.1038/s41467-025-59603-7openalex-snapshot

Reconfigurable neuromorphic functions in antiferroelectric transistors through coupled polarization switching and charge trapping dynamics

inferred← citeshttps://doi.org/10.1038/s41467-025-63493-0openalex-snapshot

Covariant spatio-temporal receptive fields for spiking neural networks

inferred← citeshttps://doi.org/10.1038/s41467-025-63771-xopenalex-snapshot

Efficient and robust temporal processing with neural oscillations modulated spiking neural networks

inferred← citeshttps://doi.org/10.1038/s41467-025-63831-2openalex-snapshot

Wafer-scale fabrication of memristive passive crossbar circuits for brain-scale neuromorphic computing

inferred← citeshttps://doi.org/10.1038/s41467-025-68227-wopenalex-snapshot

Compute-in-memory implementation of state space models for event sequence processing

inferred← citeshttps://doi.org/10.1038/s41467-026-68858-7openalex-snapshot

Bioinspired spiking architecture enables energy constrained touch encoding

inferred← citeshttps://doi.org/10.1038/s41467-026-69297-0openalex-snapshot

Decoding phantom limb movements from intraneural recordings

inferred← citeshttps://doi.org/10.1038/s41534-024-00921-xopenalex-snapshot

A quantum leaky integrate-and-fire spiking neuron and network

inferred← citeshttps://doi.org/10.1038/s41586-024-08253-8openalex-snapshot

Neuromorphic computing at scale

inferred← citeshttps://doi.org/10.1038/s41592-025-02933-7openalex-snapshot

Differentiable simulation expands frontiers for biophysical neural models

inferred← citeshttps://doi.org/10.1038/s41598-023-50201-5openalex-snapshot

Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding

inferred← citeshttps://doi.org/10.1038/s41598-024-71678-8openalex-snapshot

Learning long sequences in spiking neural networks

inferred← citeshttps://doi.org/10.1038/s41598-024-77779-8openalex-snapshot

Exploring spiking neural networks for deep reinforcement learning in robotic tasks

inferred← citeshttps://doi.org/10.1038/s41598-025-22430-3openalex-snapshot

BIASNN: a biologically inspired attention mechanism in spiking neural networks for image classification

inferred← citeshttps://doi.org/10.1038/s41598-025-34046-8openalex-snapshot

Enhancing time scalability of spiking neural networks with dynamic time constants

inferred← citeshttps://doi.org/10.1038/s41598-026-41671-4openalex-snapshot

Backpropagation-free spiking neural networks with the forward–forward algorithm

inferred← citeshttps://doi.org/10.1038/s41598-026-43397-9openalex-snapshot

Course assessment model in vocational education based on BPNN optimized by genetic algorithm

inferred← citeshttps://doi.org/10.1038/s41598-026-55364-5openalex-snapshot

A fully-CMOS spiking LIF neuron implementation for optimized STDP learning on memristor

inferred← citeshttps://doi.org/10.1038/s41928-022-00876-xopenalex-snapshot

Multimode transistors and neural networks based on ion-dynamic capacitance

inferred← citeshttps://doi.org/10.1038/s41928-026-01631-2openalex-snapshot

Efficient training of neuromorphic electronics

inferred← citeshttps://doi.org/10.1038/s42005-025-02420-7openalex-snapshot

Spiking neural networks for radio frequency interference detection in radio astronomy

showing the first 200 of 785

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