Non-spike timing-dependent plasticity learning mechanism for memristive neural networks
- 1 June 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Applied Intelligence
- Vol. 51 (6), 3684-3695
- https://doi.org/10.1007/s10489-020-01985-w
Abstract
No abstract availableThis publication has 46 references indexed in Scilit:
- Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and ApplicationsIEEE Transactions on Neural Networks and Learning Systems, 2014
- Design and Synthesis of Ultralow Energy Spin-Memristor Threshold LogicIEEE Transactions on Nanotechnology, 2014
- Spike-timing dependent plasticity in a transistor-selected resistive switching memoryNanotechnology, 2013
- Memristive devices for computingNature Nanotechnology, 2012
- Feature reduction and selection for EMG signal classificationExpert Systems with Applications, 2012
- Experimental demonstration of associative memory with memristive neural networksNeural Networks, 2010
- Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable LogicNano Letters, 2009
- The missing memristor foundNature, 2008
- Chapter 12 A framework for spiking neuron models: The spike response modelPublished by Elsevier BV ,2001
- Neurotransmitter Transporters: Recent ProgressAnnual Review of Neuroscience, 1993