Bio-inspired spiking neural network for nonlinear systems control

Author:

Pérez JavierORCID,Cabrera Juan A.,Castillo Juan J.ORCID,Velasco Juan M.

Funder

Spanish Innovation Science Ministry

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference31 articles.

1. Learning anticipation via spiking networks: Application to navigation control;Arena;IEEE Transactions on Neural Networks,2009

2. Human movement control, automation and control trends;Balderas,2016

3. Belatreche, A., Maguire, L. P., McGinnity, M., & Wu, Q. X. (2003). A method for supervised training of spiking neural networks. In Proceedings of IEEE cybernetics intelligence challenges and advances, CICA (pp. 39–44), Reading, UK.

4. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex;Bienenstock;Journal of Neuroscience,1982

5. Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks;Bohte;IEEE Transactions on Neural Networks,2002

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