Synaptic dynamics: linear model and adaptation algorithm

DOI10.1016/j.neunet.2014.04.001zbMath1368.92020OpenAlexW1965710996WikidataQ44132885 ScholiaQ44132885MaRDI QIDQ889273

Theodore W. Berger, Ali Yousefi, Alireza A. Dibazar

Publication date: 6 November 2015

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2014.04.001

zbMATH Keywords

learningplasticitybio-inspired modelsspiking neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework

Uses Software

• darch

Cites Work

• Unnamed Item
• Phenomenological models of synaptic plasticity based on spike timing
• Simple statistical gradient-following algorithms for connectionist reinforcement learning
• Error-backpropagation in temporally encoded networks of spiking neurons
• Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains
• Spiking Neural Networks for Cortical Neuronal Spike Train Decoding
• Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network
• Spiking Neuron Models
• An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing
• Relating STDP to BCM
• Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point
• Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
• Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning
• A Fast Learning Algorithm for Deep Belief Nets

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