Investigating the computational power of spiking neurons with non-standard behaviors

Author:

Kampakis Stylianos

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference64 articles.

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3. Opposing inward and outward conductances regulate rebound discharges in olfactory mitral cells;Balu;Journal of Neurophysiology,2007

4. Image processing using self-learning fuzzy spiking neural network in the presence of overlapping classes;Bodyanskiy,2008

5. Error backpropagationin temporally encoded networks of spiking neurons;Bohte;Neurocomputing,2002

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implementing Signature Neural Networks with Spiking Neurons;Frontiers in Computational Neuroscience;2016-12-20

2. Neurons with Non-standard Behaviors Can Be Computationally Relevant;Studies in Computational Intelligence;2015-11-25

3. On the Capabilities and Computational Costs of Neuron Models;IEEE Transactions on Neural Networks and Learning Systems;2014-08

4. A mapreduced-based and cell-based outlier detection algorithm;Wuhan University Journal of Natural Sciences;2014-05-06

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