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Computational Intelligence and Neuroscience
Volume 2012, Article ID 209590, 20 pages
http://dx.doi.org/10.1155/2012/209590
Research Article

Channel Identification Machines

Department of Electrical Engineering, Columbia University, New York, NY 10027, USA

Received 8 March 2012; Revised 29 June 2012; Accepted 16 July 2012

Academic Editor: Cheng-Jian Lin

Copyright © 2012 Aurel A. Lazar and Yevgeniy B. Slutskiy. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Randal A. Koene, “Toward tractable AGI: Challenges for system identification in neural circuitry,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7716, pp. 136–147, 2012. View at Publisher · View at Google Scholar
  • Tatyana O. Sharpee, “Computational Identification of Receptive Fields,” Annual Review of Neuroscience, vol. 36, no. 1, pp. 103–120, 2013. View at Publisher · View at Google Scholar
  • Aurel A Lazar, Yevgeniy B Slutskiy, and Yiyin Zhou, “Functional identification and evaluation of massively parallel neural circuits,” BMC Neuroscience, vol. 14, no. S1, 2013. View at Publisher · View at Google Scholar
  • Aurel A. Lazar, and Yevgeniy B. Slutskiy, “Functional Identification of Spike-Processing Neural Circuits,” Neural Computation, pp. 1–42, 2013. View at Publisher · View at Google Scholar
  • Aurel A. Lazar, and Yiyin Zhou, “Volterra dendritic stimulus processors and biophysical spike generators with intrinsic noise sources,” Frontiers in Computational Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Aurel A. Lazar, and Yevgeniy B. Slutskiy, “Channel identification machines for multidimensional receptive fields,” Frontiers in Computational Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Aurel A. Lazar, and Yevgeniy B. Slutskiy, “Spiking neural circuits with dendritic stimulus processors,” Journal of Computational Neuroscience, 2014. View at Publisher · View at Google Scholar
  • Aurel A. Lazar, Yevgeniy B. Slutskiy, and Yiyin Zhou, “Massively parallel neural circuits for stereoscopic color vision: Encoding, decoding and identification,” Neural Networks, 2014. View at Publisher · View at Google Scholar
  • Aurel A. Lazar, and Yiyin Zhou, “Identifying Multisensory Dendritic Stimulus Processors,” IEEE Transactions on Molecular, Biological and Multi-Scale Communications, vol. 2, no. 2, pp. 183–198, 2016. View at Publisher · View at Google Scholar
  • Dorian Florescu, and Dorian Florescu, “A New Approach to the Identification of Sensory Processing Circuits Based on Spiking Neuron Data,” Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits, pp. 81–112, 2017. View at Publisher · View at Google Scholar