Cover Image

Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Çakal, Uğurcan, Maryada, Wu, Chenxi, Ulusoy, Ilkay, Muir, Dylan R.
Format:	Preprint
Published:	2023
Subjects:	Emerging Technologies Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors
by: Patino-Saucedo, Alberto, et al.
Published: (2024)

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

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

Neuromorphic hardware for sustainable AI data centers
by: Vogginger, Bernhard, et al.
Published: (2024)

ViT-LCA: A Neuromorphic Approach for Vision Transformers
by: Takaghaj, Sanaz Mahmoodi
Published: (2024)

A Compact Gated-Synapse Model for Neuromorphic Circuits
by: Jones, Alexander, et al.
Published: (2020)

The hardware is the software
by: Laydevant, Jeremie, et al.
Published: (2023)

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

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

DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardware
by: Göltz, Julian, et al.
Published: (2024)

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

Neuromorphic quadratic programming for efficient and scalable model predictive control
by: Mangalore, Ashish Rao, et al.
Published: (2024)

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

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

On Noise Resiliency of Neuromorphic Inferential Communication in Microgrids
by: Song, Yubo, et al.
Published: (2024)

Contrastive Learning in Memristor-based Neuromorphic Systems
by: Merkel, Cory, et al.
Published: (2024)

SEPhIA: <1 laser/neuron Spiking Electro-Photonic Integrated Multi-Tiled Architecture for Scalable Optical Neuromorphic Computing
by: Hejda, Matěj, et al.
Published: (2025)

Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits
by: Yoo, S. J. Ben, et al.
Published: (2024)

Deep Neuromorphic Networks with Superconducting Single Flux Quanta
by: Krylov, Gleb, et al.
Published: (2023)

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

Mem-elements based Neuromorphic Hardware for Neural Network Application
by: Singh, Ankur
Published: (2024)

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

Laser Fault Injection in Memristor-Based Accelerators for AI/ML and Neuromorphic Computing
by: Rahman, Muhammad Faheemur, et al.
Published: (2025)

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)

Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System
by: Max, Kevin, et al.
Published: (2025)

SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
by: Gonzalez, Hector A., et al.
Published: (2024)

Enhancing Celestial Imaging: High Dynamic Range with Neuromorphic Cameras
by: Yadav, Satyapreet Singh, et al.
Published: (2025)

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

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)

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

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

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

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)

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

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

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