Abstract
In this work, a novel 3D CMOL crossnet structure is introduced by combining two leading technological concepts for future nanoelectronic neuromorphic networks: CMOL crossnet and 3D integration. By implementing CMOL crossnet into the third dimension, the proposed 3D CMOL crossnet not only maintains the high-speed and high defect-tolerant properties of the CMOS-nano hybrid CMOL hardware system, but also provides efficient fabrication and assembly processes with a much higher density than the original CMOL crossnet. Furthermore, this study focuses on the development of multivalue synapses and efficient communication methods between CMOS and nanodevices. Preliminary results demonstrate that the structure can utilize the advantages of high performance synapses and stable analog CMOS somas in three dimensions. Therefore, the proposed 3D CMOL crossnet structure has a huge potential to become an efficient 3D hardware platform to build neuromorphic networks that are scalable to biological levels.
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Ryan, K., Tanachutiwat, S., Wang, W. (2009). 3D CMOL Crossnet for Neuromorphic Network Applications. In: Cheng, M. (eds) Nano-Net. NanoNet 2008. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02427-6_1
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DOI: https://doi.org/10.1007/978-3-642-02427-6_1
Publisher Name: Springer, Berlin, Heidelberg
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