Overview

Neuromorphic computing studies algorithms and physical systems that compute through neuron-like dynamics, spikes, sparse events, and sometimes sensing integrated with processing. Common approaches include spiking neural networks trained with surrogate gradients or converted from conventional networks, local learning such as spike-timing-dependent plasticity, reservoir computing, and specialized CMOS, FPGA, memristor, photonic, or analog hardware. These systems are tested on event-camera vision, speech, time-series, robotics, and edge sensing, with benchmarks such as DVS Gesture, N-MNIST, SHD, and CIFAR variants. The central challenge is turning sparse activity and device-level efficiency into reliable end-to-end gains without sacrificing accuracy, scalability, or fair comparison with conventional hardware.

Latest papers

CardsList

192 papers15 papers in the last four weeks, down 25% on the four weeks before. 0.1% of all new papers.

  1. LAND: A Longitudinal Analysis of Neuromorphic Datasets

    Feb 17, 2026Gregory Cohen, Alexandre MarcireauNeuromorphic ComputingSynthetic Data Evaluation

  2. Neurosim: A Fast Simulator for Neuromorphic Robot Perception

    Feb 16, 2026Richeek Das, Pratik ChaudhariRobotics SimulationNeuromorphic Computing

  3. Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units

    Feb 7, 2026Manuel Escudero, Mohamadreza Zolfagharinejad, Sjoerd van den Belt +2Efficient Neural Network InferenceNeural Network Hardware Acceleration

  4. NeuroVLA: A Brain-inspired Embodied Intelligence for Fluid and Fast Reflexive Robotics Control

    Jan 21, 2026Weiyu Guo, He Zhang, Pengteng Li +7Robotic ControlVision-Language-Action Models

  5. Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network

    Nov 3, 2025Elvin Hajizada, Danielle Rager, Timothy Shea +5Online Continual LearningIncremental Learning

  6. Circuit realization and hardware linearization of monotone operator equilibrium networks

    Sep 17, 2025Thomas ChaffeyReLU Neural NetworksNeuromorphic Computing

  7. Encoding Tactile Stimuli for Braille Recognition with Organoids

    Aug 28, 2025Tianyi Liu, Hemma Philamore, Benjamin Ward-CherrierNeuromorphic Computing

  8. Efficient Memristive Spiking Neural Networks Architecture with Supervised In-Situ STDP Method

    Jul 28, 2025Santlal Prajapati, Susmita Sur-Kolay, Soumyadeep DuttaEfficient Neural Network InferenceSpiking Neural Networks

  9. Sigma-Delta Neural Network Conversion on Loihi 2

    May 9, 2025Matthew Brehove, Sadia Anjum Tumpa, Espoir Kyubwa +2Efficient Neural Network InferenceSpiking Neural Networks

  10. On the Theory of Bias Tuning in Event Cameras

    Jan 30, 2025David El-Chai Ben-Ezra, Daniel Brisk, Adar TalEvent-Based VisionNeuromorphic Computing

  11. Spintronics for image recognition: performance benchmarking via data-driven simulations

    Aug 10, 2023Anatole Moureaux, Chloé Chopin, Simon de Wergifosse +2Neuromorphic ComputingImage Classification