Abstract
Brain-inspired Computing Architecture (BriCA) is a generic software platform for modular composition of machine learning algorithms. It can combine and schedule an arbitrary number of machine learning components in a brain-inspired fashion to construct higher level structures such as cognitive architectures. We would like to report and discuss the core concepts of BriCA version 1 and prospects toward future development.
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Acknowledgments
We would like to thank Yuji Ichisugi, Makoto Taiji, Shinji Nishimoto, Hidemoto Nakada, and the members of the Whole Brain Architecture Initiative, especially Ryutaro Ichise, Takashi Omori, Hideki Kashioka, Satoshi Kurihara, Takeshi Sakurada, Takeshi Sato, and Yutaka Matsuo, along with the Whole Brain Architecture Future Leaders for their support, comments, and discussion. This research was supported in part by funds from Yamagata Prefectural Government and Tsuruoka City.
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Itaya, K. et al. (2016). BriCA: A Modular Software Platform for Whole Brain Architecture. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9947. Springer, Cham. https://doi.org/10.1007/978-3-319-46687-3_37
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