Compact hardware liquid state machines on FPGA for real-time speech recognition

Author:

Schrauwen Benjamin,D’Haene Michiel,Verstraeten David,Campenhout Jan Van

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference59 articles.

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3. Bellis, S., Razeeb, K. M., Saha, C., Delaney, K., O’Mathuna, C., & Pounds-Cornish, A., et al. (2004). FPGA implementation of spiking neural networks — an initial step towards building tangible collaborative autonomous agents. In FPT’04, international conference on field-programmable technology (pp. 449–452)

4. Error-backpropagation in temporally encoded networks of spiking neurons;Bohte;Neurocomputing,2002

5. Booij, O. (2004). Temporal pattern classification using spiking neural networks. Master’s Thesis, University of Amsterdam. http://www.xs4all.nl/obooij/study/download/booij04Temporal.pdf

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