论文信息 - Analog VLSI hardware: what is missing for industrial realisations?

Analog VLSI hardware: what is missing for industrial realisations?

Although several papers have shown the potential of analog VLSI to build artificial neural networks or perceptive systems inspired from biology that are orders of magnitude more effective to solve specific problems than previous solutions, it seems that industrial realisations are not emerging as fast. This presentation addresses some open questions and issues that still need to be answered in order to meet the requirements for successful industrial realisations and reviews some efficient solutions in terms of area and power consumption.<<ETX>>

E. A. Vittoz | X. Arreguit

[1] Andreas G. Andreou,et al. A Contrast Sensitive Silicon Retina with Reciprocal Synapses , 1991, NIPS.

[2] Eric A. Vittoz,et al. A communication architecture tailored for analog VLSI artificial neural networks: intrinsic performance and limitations , 1994, IEEE Trans. Neural Networks.

[3] Andreas G. Andreou,et al. Current-mode subthreshold MOS circuits for analog VLSI neural systems , 1991, IEEE Trans. Neural Networks.

[4] Misha Anne Mahowald,et al. VLSI analogs of neuronal visual processing: a synthesis of form and function , 1992 .

[5] Carver Mead,et al. Analog VLSI and neural systems , 1989 .

[6] E. Vittoz,et al. Analog Storage of Adjustable Synaptic Weights , 1991 .

[7] Eric A. Vittoz,et al. Analog VLSI signal processing: Why, where, and how? , 1994, J. VLSI Signal Process..

[8] Eric A. Vittoz,et al. Linear networks based on transistors , 1993 .

[9] P. Aubert,et al. Monolithic optical position encoder with on-chip photodiodes , 1988 .