Cover Image

Perturbative Gradient Training: A novel training paradigm for bridging the gap between deep neural networks and physical reservoir computing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abbott, Cliff B., Elo, Mark, Bozhko, Dmytro A.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Mesoscale and Nanoscale Physics Emerging Technologies Neural and Evolutionary Computing Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neuromorphic on-chip reservoir computing with spiking neural network architectures
by: Karki, Samip, et al.
Published: (2024)

Practical design and performance of physical reservoir computing using hysteresis
by: Yamada, Yuhei
Published: (2025)

Measurement-driven neural-network training for integrated magnetic tunnel junction arrays
by: Borders, William A., et al.
Published: (2023)

A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity
by: Talukder, Ria, et al.
Published: (2024)

Hybrid Magnonic Reservoir Computing
by: Abbott, Cliff B., et al.
Published: (2024)

Genetically programmable optical random neural networks
by: Çarpınlıoğlu, Bora, et al.
Published: (2024)

Quantum-limited stochastic optical neural networks operating at a few quanta per activation
by: Ma, Shi-Yuan, et al.
Published: (2023)

Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing
by: El-Geresy, Waleed, et al.
Published: (2024)

Energy-Information Trade-Off in Self-Directed Channel Memristors
by: El-Geresy, Waleed, et al.
Published: (2025)

A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
by: Brand, Dean, et al.
Published: (2024)

Digital-analog hybrid matrix multiplication processor for optical neural networks
by: Meng, Xiansong, et al.
Published: (2024)

Haptic in-sensor computing device made of carbon nanotube-polydimethylsiloxane nanocomposites
by: Kimizuka, Kouki, et al.
Published: (2024)

Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing
by: Castro, Bernard J. Giron, et al.
Published: (2023)

Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
by: Çakal, Uğurcan, et al.
Published: (2023)

NeoHebbian Synapses to Accelerate Online Training of Neuromorphic Hardware
by: Pande, Shubham, et al.
Published: (2024)

Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training
by: Kilgore, Joseph A., et al.
Published: (2024)

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
by: Wright, Logan G, et al.
Published: (2026)

Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics
by: Shetty, Sanjana
Published: (2024)

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher
by: Aquino, Tomas Gallo, et al.
Published: (2025)

Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation
by: Wang, Qingshan, et al.
Published: (2024)

Superposed parameterised quantum circuits
by: Patapovich, Viktoria, et al.
Published: (2025)

A Quantum-Inspired Algorithm for Solving Sudoku Puzzles and the MaxCut Problem
by: Zhao, Max B., et al.
Published: (2025)

Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process
by: Cheng, Yang, et al.
Published: (2024)

Incorporating Quantum Advantage in Quantum Circuit Generation through Genetic Programming
by: Stein, Christoph, et al.
Published: (2025)

Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks
by: Sunada, Satoshi, et al.
Published: (2025)

Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
by: Pan, Shuaiqun, et al.
Published: (2025)

Gradient descent in materia through homodyne gradient extraction
by: Boon, Marcus N., et al.
Published: (2021)

Infinite-dimensional next-generation reservoir computing
by: Grigoryeva, Lyudmila, et al.
Published: (2024)

A Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron
by: Gibertini, Paolo, et al.
Published: (2022)

Visualising the Attractor Landscape of Neural Cellular Automata
by: Stovold, James, et al.
Published: (2026)

Computing with Living Neurons: Chaos-Controlled Reservoir Computing with Knowledge Transplant
by: Kim, Seung Hyun, et al.
Published: (2026)

Memristor-Based Spiking Neural Network Accelerator for Bio-inspired Interception Task
by: Qu, Qianhou, et al.
Published: (2026)

The Conquest of Quantum Genetic Algorithms: The Adventure to Cross the Valley of Death
by: Lahoz-Beltra, Rafael
Published: (2023)

Stability and Geometry of Attractors in Neural Cellular Automata
by: Kvalsund, Mia-Katrin, et al.
Published: (2026)

The Reliability Issue in ReRam-based CIM Architecture for SNN: A Survey
by: Chen, Wei-Ting
Published: (2024)

Efficient Memristive Spiking Neural Networks Architecture with Supervised In-Situ STDP Method
by: Prajapati, Santlal, et al.
Published: (2025)

Pipelining Kruskal's: A Neuromorphic Approach for Minimum Spanning Tree
by: Chong, Yee Hin, et al.
Published: (2025)

Lagrange Oscillatory Neural Networks for Constraint Satisfaction and Optimization
by: Delacour, Corentin, et al.
Published: (2025)

Neuromorphic Computing - An Overview
by: Jung, Benedikt, et al.
Published: (2025)

To Spike or Not to Spike, that is the Question
by: Takaghaj, Sanaz Mahmoodi, et al.
Published: (2024)