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CMOS subthreshold-mode I/V converter for analogue neural network applications

CMOS subthreshold-mode I/V converter for analogue neural network applications

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An improved I/V converter for analogue neural network applications is presented, using devices operating in the subthreshold mode of conduction. The proposed scheme employs diode connected transistors biased by a network incorporating feedback. Analysis and simulation suggest that the modified structure offers a substantial reduction in the sensitivity to supply voltage variations. As the proposed scheme uses only NMOS transistors, it can be implemented in a standard single well process.

References

    1. 1)
      • Analog VLSI and neural systems
    2. 2)
      • Analog VLSI signal and information processing
    3. 3)
      • Tolerance to analog hardware of on-chip learning inbackpropagation networks
    4. 4)
      • Satyanarayana, S.: `Analog VLSI implementation of reconfigurable neuralnetworks', 1991, Ph.D, Columbia University, New York, NY
    5. 5)
      • A four-quadrant subthreshold mode multiplier for analogueneural network applications
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19960639
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