Research Article
3D CMOL Crossnet for Neuromorphic Network Applications
@INPROCEEDINGS{10.1007/978-3-642-02427-6_1, author={Kevin Ryan and Sansiri Tanachutiwat and Wei Wang}, title={3D CMOL Crossnet for Neuromorphic Network Applications}, proceedings={Nano-Net. Third International ICST Conference, NanoNet 2008, Boston, MA, USA, September 14-16, 2008, Revised Selected Papers}, proceedings_a={NANO-NET}, year={2012}, month={5}, keywords={CMOS-Nano Hybrid System CMOL Crossnet Neuromorphic Network 3D IC}, doi={10.1007/978-3-642-02427-6_1} }- Kevin Ryan
Sansiri Tanachutiwat
Wei Wang
Year: 2012
3D CMOL Crossnet for Neuromorphic Network Applications
NANO-NET
Springer
DOI: 10.1007/978-3-642-02427-6_1
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.
