A Universal Abstract-Time Platform for Real-Time Neural Networks

Alexander D. Rast; M. Mukaram Khan; Xin Jin; Luis A. Plana; Stephen Furber; A. Ravishankar Rao; Guillermo A. Cecchi

doi:10.1007/978-1-4614-0724-9_8

A Universal Abstract-Time Platform for Real-Time Neural Networks

Alexander D. Rast, M. Mukaram Khan, Xin Jin, Luis A. Plana, Stephen Furber, A. Ravishankar Rao (Editor), Guillermo A. Cecchi (Editor)

Advanced Processor Technology

Research output: Chapter in Book/Conference proceeding › Chapter

Original language	English
Title of host publication	The Relevance of the Time Domain to Neural Network Models
Subtitle of host publication	Springer Series in Cognitive and Neural Systems
Publisher	Springer Nature
Pages	135-157
Volume	3
Edition	1
ISBN (Print)	978-1-4614-0724-9
DOIs	https://doi.org/10.1007/978-1-4614-0724-9_8
Publication status	Published - 2012

Access to Document

10.1007/978-1-4614-0724-9_8

Cite this

Rast, A. D., Khan, M. M., Jin, X., Plana, L. A., Furber, S., Rao, A. R. (Ed.), & Cecchi, G. A. (Ed.) (2012). A Universal Abstract-Time Platform for Real-Time Neural Networks. In The Relevance of the Time Domain to Neural Network Models: Springer Series in Cognitive and Neural Systems (1 ed., Vol. 3, pp. 135-157). Springer Nature. https://doi.org/10.1007/978-1-4614-0724-9_8

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