Abstract
Hybrid “CMOL” integrated circuits, incorporating advanced CMOS devices for neural cell bodies, nanowires as axons and dendrites, and singlemolecule latching switches as synapses, may be used for the hardware implementation of extremely dense (∼107 cells and ∼1012 synapses per cm2) neuromorphic networks, operating up to 106 times faster than their biological prototypes. We are exploring several “CrossNet” architectures that accommodate the limitations imposed by CMOL hardware and should allow effective training of the networks without a direct external access to individual synapses. CrossNet training in the Hopfield mode have been confirmed on a software model of the network.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Park, H. et al.: Nanomechanical Oscillations in a Single C60 Transistor. Nature 407 (2000) 57–60
Zhitenev, N. B., Meng, H., Bao, Z.: Conductance of Small Molecular Junctions. Phys. Rev. Lett. 88 (2002) 226801 1–4
Park J. et al: Coulomb Blockade and the Kondo Effect in Single-Atom Transistors. Nature 417 (2002) 722–725
Liang, W. J. et al.: Kondo Resonance in a Single-Molecule Transistor. Nature 417(2002) 725–729
Likharev, K.: Electronics Below 10 nm. To be published in: Korkin, A. (ed.): Nano and Giga Challenges in Microelectronics. Elsevier, Amsterdam (2003). Preprint available on the Web at http://rsfq1.physics.sunysb.edu/~likharev/nano/NanoGiga036603.pdf
International Technology Roadmap for Semiconductors, 2001 Edition, 2002 Update. Available on the Web at http://public.itrs.net/Files/2001ITRS/Home.html
Zankovych, S. et al: Nanoimprint Lithography: Challenges and Prospects. Nanotechnology 12 (2001) 91–95
Fölling, S., Türel, Ö., Likharev, K. K.: Single-Electron Latching Switches as Nanoscale Synapses. In: Proc. of the 2001 Int. Joint Conf. on Neural Networks. Int. Neural Network Society, Mount Royal, NJ (2001) 216–221
Türel, Ö., Likharev, K. K.: CrossNets: Possible Neuromorphic Networks Based on Nanoscale Components. Int. J. of Circuit Theory and Appl. 31 (2003) 37–54
Likharev, K., Mayr, A., Muckra, I., Türel, Ö.: CrossNets: High-Performance Neuromorphic Architectures for CMOL Circuits. Report at the 6th Conf. on Molecular-Scale Electronics (Key West, FL, December 2002), to be published by the New York Acad. Sci. (2003)
Hertz J., Krogh A., Palmer R. G.: Introduction to the Theory of Neural Computation. Perseus, Cambridge, MA (1991)
Dayan, P., Abbott, L. F.: Theoretical Neuroscience. MIT Press, Cambridge, MA (2001)
vanHemmen, J. L., Kühn, R.: Nonlinear Neural Networks. Phys. Rev. Lett. 57 (1986) 913–916
Derrida, B., Gardner, E., Zippelius, A.: An Exactly Soluble Asymmetric Neural Network Model. Europhys. Lett. 4 (1987) 167–173
Türel, Ö., Muckra, I. Likharev, K. K.: Possible Nanoelectronic Implementation of Neuromorphic Networks, Accepted for presentation at the Int. Joint Conf. on Neural Networks (Portland, OR, July 2003), preprint available on the Web at http://rsfq1.physics.sunysb.edu/~likharev/nano/IJCNN03.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Türel, Ö., Likharev, K. (2003). CrossNets: Neuromorphic Networks for Nanoelectronic Implementation. In: Kaynak, O., Alpaydin, E., Oja, E., Xu, L. (eds) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. ICANN ICONIP 2003 2003. Lecture Notes in Computer Science, vol 2714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44989-2_90
Download citation
DOI: https://doi.org/10.1007/3-540-44989-2_90
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40408-8
Online ISBN: 978-3-540-44989-8
eBook Packages: Springer Book Archive