TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
SIMBRAIN is a free tool for building, running, and analyzing neural-networks (computer simulations of brain circuitry). Simbrain aims to be as visual and easy-to-use as possible.
L. Antiqueira, and L. Zhao. 2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI CBIC), page 46-54. Ipojuca, Brazil, (September 2013)
S. Gotshall, and T. Soule. GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation, 1, page 253--260. London, ACM Press, (7-11 July 2007)
S. Gotshall, K. Browder, J. Sampson, T. Soule, and R. Wells. Genetic Programming and Evolvable Machines, 8 (4):
355--380(December 2007)special issue on medical applications of Genetic and
Evolutionary Computation.
S. Sapkota, A. Shakya, and B. Joshi. Proceedings of the 26th International Conference of the ORIENTAL- COCOSDA (O-COCOSDA 2023), page 1-6. IEEE, (December 2023)
N. Kimura, M. Kono, and J. Rekimoto. Proceedings of the 2019 CHI Conference on Human Factors in
Computing Systems, Paper 146, page 1--11. New York, NY, USA, Association for Computing Machinery, (May 2019)
M. Akbarzadeh-T., E. Tunstel, K. Kumbla, and M. Jamshidi. Proceedings of the 1998 IEEE World Congress on
Computational Intelligence, 2, page 1200--1205. Anchorage, Alaska, USA, IEEE Press, (5-9 May 1998)
E. Izhikevich. IEEE transactions on neural networks / a publication
of the IEEE Neural Networks Council, 14 (6):
1569--1572(November 2003)Yaeger references this article The following figure
summarizes the model, and it is available in pdf, gif,
bmp, and eps formats. Hereby you are granted the
permission to freely use this figure in your
publications provided that (1) You add the line
Electronic version of the figure and reproduction
permissions are freely available at www.izhikevich.com
to your paper and (2) you send me a copy of your paper
when it is published..
G. Hornby. Genetic and Evolutionary Computation -- GECCO-2004,
Part II, volume 3103 of Lecture Notes in Computer Science, page 495--506. Seattle, WA, USA, Springer-Verlag, (26-30 June 2004)
K. Xu, Y. Feng, S. Huang, and D. Zhao. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing EMNLP, page 536–540. (2015)cite arxiv:1506.07650.