Impact of shrinking technologies on the activation function of neurons

Authors:
Ralf Eickhoff;Tim Kaulmann;Ulrich Rückert
Affiliations:
Chair of Circuit Design and Network Theory, Dresden University of Technology, Germany;Heinz Nixdorf Institute, System and Circuit Technology, University of Paderborn, Germany;Heinz Nixdorf Institute, System and Circuit Technology, University of Paderborn, Germany
Venue:
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Year:
2007

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Abstract

Artificial neural networks are able to solve a great variety of different applications, e.g. classification or approximation tasks. To utilize their advantages in technical systems various hardware realizations do exist. In this work, the impact of shrinking device sizes on the activation function of neurons is investigated with respect to area demands, power consumption and the maximum resolution in their information processing. Furthermore, analog and digital implementations are compared in emerging silicon technologies beyond 100 nm feature size.