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Keyword

learning rules

Description: Algorithms or procedures that adjust the weights and parameters of artificial neural networks during learning.
Wikidata ID: wiki/Q6510194
OpenAlex ID: keywords/learning-rules
Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks
1988 · David S. Broomhead, David Lowe · Complex Systems · 3,431
Artificial neural networks: fundamentals, computing, design, and application
2000 · I.A Basheer, M Hajmeer · Journal of Microbiological Methods · 3,234
CORTICAL PLASTICITY: From Synapses to Maps
1998 · Dean V. Buonomano, Michael M. Merzenich · Annual Review of Neuroscience · 2,083
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources
1999 · Te-Won Lee, Mark Girolami, et al. · Neural Computation · 1,968
Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research
2000 · S Agatonovic-Kustrin, R Beresford · Journal of Pharmaceutical and Biomedical Analysis · 1,963
A deep learning framework for neuroscience
2019 · Blake A. Richards, Timothy P. Lillicrap, et al. · Nature Neuroscience · 1,021
Medial prefrontal cortex as an action-outcome predictor
2011 · William H Alexander, Joshua W Brown · Nature Neuroscience · 994
Functional equivalence between radial basis function networks and fuzzy inference systems
1993 · J.-S.R. Jang, C.-T. Sun · IEEE Transactions on Neural Networks · 887
Why Imitate, and If So, How?
1998 · Karl H. Schlag · Journal of Economic Theory · 820
Dendritic Excitability and Synaptic Plasticity
2008 · P. Jesper Sjöström, Ede A. Rancz, et al. · Physiological Reviews · 725
Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity
2006 · Jean-Pascal Pfister, Wulfram Gerstner · Journal of Neuroscience · 647
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Strategic Learning and its Limits
2004 · H. Peyton Young · Oxford University Press eBooks · 606
Map Plasticity in Somatosensory Cortex
2005 · Daniel E. Feldman, Michael Brecht · Science · 586
Principles of Neurocomputing for Science and Engineering
2000 · Fredric M. Ham, Ivica Kostanic · Medical Entomology and Zoology · 580
Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
2009 · Filip Ponulak, Andrzej Kasiński · Neural Computation · 574
Long-Term Plasticity of Intrinsic Excitability: Learning Rules and Mechanisms
2003 · Gaël Daoudal, Dominique Debanne · Learning & Memory · 543
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SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks
2018 · Friedemann Zenke, Surya Ganguli · Neural Computation · 530
Optimal Perceptual Inference
1983 · Geoffrey E. Hinton, J. Sejnowski · 499
Genetic algorithm learning and the cobweb model
1994 · Jasmina Arifovic · Journal of Economic Dynamics and Control · 463
The search for the engram.
1976 · Richard F. Thompson · American Psychologist · 450
Long-term synaptic depression in the mammalian brain
1994 · David J. Linden · Neuron · 445
Perceptual learning in Vision Research
2010 · Dov Sagi · Vision Research · 440
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Learning algorithms with optimal stability in neural networks
1987 · W Krauth, M Mezard · Journal of Physics A Mathematical and General · 416
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Generalized clustering networks and Kohonen's self-organizing scheme
1993 · N.R. Pal, J.C. Bezdek, et al. · IEEE Transactions on Neural Networks · 376
Spike-Timing-Dependent Plasticity: A Comprehensive Overview
2012 · H. Markram, W. Gerstner, et al. · Frontiers in Synaptic Neuroscience · 371
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Works count: 2,331
Citation count: 55,890
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