Spiking Neural Network with plasticity in the time domain recovers temporal information from a noisy pattern using reference spikes
出版年份 2023 全文链接
标题
Spiking Neural Network with plasticity in the time domain recovers temporal information from a noisy pattern using reference spikes
作者
关键词
-
出版物
NEUROCOMPUTING
Volume -, Issue -, Pages 126988
出版商
Elsevier BV
发表日期
2023-11-03
DOI
10.1016/j.neucom.2023.126988
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Spiking Neural Networks and Their Applications: A Review
- (2022) Kashu Yamazaki et al. Brain Sciences
- Supervised learning in spiking neural networks: A review of algorithms and evaluations
- (2020) Xiangwen Wang et al. NEURAL NETWORKS
- Brian 2, an intuitive and efficient neural simulator
- (2019) Marcel Stimberg et al. eLife
- Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks
- (2019) Emre O. Neftci et al. IEEE SIGNAL PROCESSING MAGAZINE
- A review of learning in biologically plausible spiking neural networks
- (2019) Aboozar Taherkhani et al. NEURAL NETWORKS
- Propagation delays determine neuronal activity and synaptic connectivity patterns emerging in plastic neuronal networks
- (2018) Mojtaba Madadi Asl et al. CHAOS
- Deep learning in spiking neural networks
- (2018) Amirhossein Tavanaei et al. NEURAL NETWORKS
- Deep Learning With Spiking Neurons: Opportunities and Challenges
- (2018) Michael Pfeiffer et al. Frontiers in Neuroscience
- Dendritic and Axonal Propagation Delays May Shape Neuronal Networks With Plastic Synapses
- (2018) Mojtaba Madadi Asl et al. Frontiers in Physiology
- Axonal Conduction Delays, Brain State, and Corticogeniculate Communication
- (2017) Carl R. Stoelzel et al. JOURNAL OF NEUROSCIENCE
- Unsupervised learning of digit recognition using spike-timing-dependent plasticity
- (2015) Peter U. Diehl et al. Frontiers in Computational Neuroscience
- DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons
- (2015) Aboozar Taherkhani et al. IEEE Transactions on Neural Networks and Learning Systems
- A neuromorphic implementation of multiple spike-timing synaptic plasticity rules for large-scale neural networks
- (2015) Runchun M. Wang et al. Frontiers in Neuroscience
- Molecular Mechanisms for Synchronous, Asynchronous, and Spontaneous Neurotransmitter Release
- (2013) Pascal S. Kaeser et al. Annual Review of Physiology
- Monitoring spike train synchrony
- (2012) Thomas Kreuz et al. JOURNAL OF NEUROPHYSIOLOGY
- The Chronotron: A Neuron That Learns to Fire Temporally Precise Spike Patterns
- (2012) Răzvan V. Florian PLoS One
- Axon Physiology
- (2011) Dominique Debanne et al. PHYSIOLOGICAL REVIEWS
- Neurobiologically Realistic Determinants of Self-Organized Criticality in Networks of Spiking Neurons
- (2011) Mikail Rubinov et al. PLoS Computational Biology
- SPIKING NEURAL NETWORKS
- (2009) SAMANWOY GHOSH-DASTIDAR et al. International Journal of Neural Systems
- Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
- (2009) Filip Ponulak et al. NEURAL COMPUTATION
- Spike Timing–Dependent Plasticity: A Hebbian Learning Rule
- (2008) Natalia Caporale et al. Annual Review of Neuroscience
- Decoupling through Synchrony in Neuronal Circuits with Propagation Delays
- (2008) Evgueniy V. Lubenov et al. NEURON
- Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains
- (2008) Timothée Masquelier et al. PLoS One
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started