Studies of neurally inspired silicon circuits are showing how networks of neurons can select and multiply input signals. They may also provide alternative ways to build computers modelled on biology.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Hahnloser, R. H. R., Sarpeshkar, R., Mahowald, M. A., Douglas, R. J. & Seung, H. S. Nature 405, 947–951 (2000).
Salinas, E. & Abbott, L. F. Proc. Natl Acad. Sci. USA 93, 11956–11961 (1996).
Ben-Yishai, R., Bar-Or, R. L. & Sompolinsky H. Proc. Natl Acad. Sci. USA 92, 3844–3848 (1995).
Somers, D. C., Nelson, S. B. & Sur, M. J. Neurosci. 8, 5448– 5465 (1995).
Douglas, R. J. et al. Science 269, 981–985 (1995).
Stemmler, M., Usher, M. & Niebur, E. Science 269, 1877– 1880 (1995).
Andersen, R. A., Essick G. K. & Siegel R. M. Science 230, 456– 458 (1985).
Abbott, L. F. & Blum, K. I. Cereb. Cortex 6, 406–416 (1996).
Rao, R. P. N. & Sejnowski, T. J. in Advances in Neural Information Processing Systems Vol. 12 (eds Solla, S. A., Leen, T. K. & Müller, K.-R) 164–170 (MIT Press, Cambridge, MA, 2000).
Westerman, W. C., Northmore, D. P. M. & Elias, J. G. Analog Integrated Circuits Signal Process. 18, 141–152 (1999).
Diorio, C., Hasler, P., Minch, B. A. & Mead, C. IEEE Trans. Electron Devices 44, 2281–2289 ( 1997).
Mead, C. Analog VLSI and Neural Systems (Addison-Wesley, Reading, MA, 1989).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Diorio, C., Rao, R. Neural circuits in silicon. Nature 405, 891–892 (2000). https://doi.org/10.1038/35016172
Issue Date:
DOI: https://doi.org/10.1038/35016172
