Spike-Timing-Dependent Plasticity

Also known as STDP

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Overview

Spike-timing-dependent plasticity studies how the timing between incoming and outgoing neuron spikes can locally strengthen or weaken synapses, enabling learning without directly computing global gradients. Methods include pair-based and adaptive timing rules, reward-modulated or supervised spike-agreement updates, and timing-based credit assignment; researchers also combine them with homeostatic mechanisms to stabilize spiking networks. Applications range from event-camera vision, graph anomaly detection, and place recognition to recurrent-wave models, with hardware work implementing learning in digital circuits and memristive synapses. A central challenge is making local, energy-efficient learning reliable on demanding tasks: results can depend on reward shaping and stabilization, and comparisons with gradient-based or conventional rate-based methods remain important.

Latest papers

CardsList

12 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. State-Dependent Memristor Dynamics for Device-Informed Spike-Timing-Dependent Plasticity in Spiking Neural Networks

    Oct 28, 2026Samiur Rahman Khan, Saifur Rahman SabujSpike-Timing-Dependent PlasticitySpiking Neural Networks

    University of Cincinnati, Cincinnati, OH, USA · BRAC University, Dhaka, Bangladesh

  2. A Memristive Synapse for Online STDP Learning and Inference in SNNs

    Sep 14, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Daniel Arumí +2Spiking Neural NetworksSpike-Timing-Dependent Plasticity

    Universitat Polit`ecnica de Catalunya - BarcelonaTech (UPC)

  3. A Gradient-based yet Spike-Timing-Dependent Solution to the Feedback Learning Problem in Neural Microcircuits

    Sep 8, 2026Xiangnan Zhang, Jingxin Liu, Ranqi Lu +6Neural ProcessesTemporal Credit Assignment

    School of Future Technologies, Beijing Institute of Technology, Beijing, 100081, China. · Key Laboratory of Brain Health Intelligent Evaluation and Intervention (Beijing Institute of Technology), Ministry of Education, Beijing, 100081, China. · School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China. +5

  4. Visual Place Recognition Using Rate-Encoded Spiking Neural Networks with Discrete STDP Learning

    Jul 15, 2026Altzi Tsanko, Oikonomou Katerina Maria, Antonios GasteratosVisual Place RecognitionSpiking Neural Networks

    Department of Production and Management Engineering, Democritus University of Thrace, Xanthi 67100, Greece

  5. Design and Development of a Neuromorphic Silicon Suite: PVT Sensing, Stochastic LIF Inference, On-Chip STDP Learning, and Crossbar Programming

    Jun 21, 2026Poornima Kumaresan, Santhosh SivasubramaniSpiking Neural NetworksSpike-Timing-Dependent Plasticity

    Intrinsic Lab, Centre for Sensors, Instrumentation and Cyber-Physical System Engineering (SeNSE), Indian Institute of Technology Delhi, New Delhi 110016, India

  6. Soliton-like Waves in a Two-Dimensional Recurrent Spiking Neural Network with Weighted Spike-Timing-Dependent Plasticity

    Jun 19, 2026Ch. MeessenDynamical SystemsRecurrent Neural Networks

    Independent researcher, computational neuroscience, France

  7. ITP-STDP: A Hardware-Efficient Intrinsic-Timing Power-of-Two Synaptic Learning Engine for On-Chip SNNs

    Jun 4, 2026Haihang Xia, Xinyu Zhao, Xuecheng Wang +5Spiking Neural NetworksSpike-Timing-Dependent Plasticity

    School of Electrical and Electronic Engineering, The University of Sheffield, S1 3JD Sheffield, U.K. · Donghai Laboratory, Zhoushan 316021, China · Engineering Research Center of Oceanic Sensing Technologyand Equipment, Ministry of Education, Zhoushan 316021, China +1

  8. Temporal Coding as a Substrate for Sensorimotor Object Inference: A Spiking Reinterpretation of Thousand Brains Architecture

    May 21, 2026Joy BoseSpiking Neural NetworksActive Sensing

    Independent Researcher, Bengaluru, India

  9. Brain-inspired spike-timing plasticity for reliable label-efficient event-camera vision

    May 17, 2026Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike BanadEvent-Based VisionSpiking Neural Networks

    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA

  10. Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks

    Apr 29, 2026Abdul Joseph Fofanah, Lian Wen, David Chen +2Graph Neural NetworksSpiking Neural Networks

    School of ICT, Griffith University, Australia

  11. Reward-Modulated Local Learning in Spiking Encoders: Controlled Benchmarks with STDP and Hybrid Rate Readouts

    Feb 28, 2026Debjyoti ChakrabortyHandwritten Digit RecognitionSpiking Neural Networks

    Researcher

  12. Building Supervision into Hebbian Plasticity through Spike Agreement

    Jan 13, 2026Gouri Lakshmi S, Athira Chandrasekharan, Harshit Kumar +3Hebbian LearningSpiking Neural Networks

    Indian Institute of Science Education and Research Thiruvananthapuram, Vithura, Thiruvananthapuram, Kerala 695551, India