Free PDF BookTowards Building a Neuromorphic Computer A Reconfigurable Hardware Continuous Time Recurrent Neural Network

[Ebook.qqUp] Towards Building a Neuromorphic Computer A Reconfigurable Hardware Continuous Time Recurrent Neural Network



[Ebook.qqUp] Towards Building a Neuromorphic Computer A Reconfigurable Hardware Continuous Time Recurrent Neural Network

[Ebook.qqUp] Towards Building a Neuromorphic Computer A Reconfigurable Hardware Continuous Time Recurrent Neural Network

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Book Details :
Published on: 2014-02-06
Released on: 2014-02-06
Original language: English
[Ebook.qqUp] Towards Building a Neuromorphic Computer A Reconfigurable Hardware Continuous Time Recurrent Neural Network

In this work, a complete description of the design for implementing a neuromorphic computer has been provided with details of the components and concepts used to make it feasible in hardware. The final hardware implemented, is tested with well-defined and well-analyzed configurations and the hardware behaves in concurrence with its simulated counterparts and in accordance with the differential equation guiding the underlying Neuromorhic logic (I.E. of a Continuous Time Recurrent Network (CTRNN)).The neurons and supporting devices are all constructed from commonly available off-the-shelf components and the implementation has been tested to insure a high degree of fidelity between behavior predicted by CTRNN state equations and the correspondingly programmed computer. In addition, it is demonstrated that the constructed device is easy to use and can be employed in a wide variety of research efforts without the need to develop sophisticated electrical engineering knowledge. ASP-DAC 2017 Technical Program - tsys.jp Title (Invited Paper) Design Considerations and Clinical Applications of Closed-Loop Neural Disorder Control SoCs: Author *Chung-Yu Wu Cheng-Hsiang Cheng Yi-Huan Ou ... DeepLearning.University An Annotated Deep Learning ... This resource is partly funded by the EU research project Envisage where Memkite is a case study. Maintainer: Amund Tveit amund@memkite.com. DeepLearning ...
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