Pulse-density modulation technique in VLSI implementations of neural network algorithms

J. Tomberg, Kimmo Kaski

Research output: Contribution to journalArticleScientificpeer-review

53 Citations (Scopus)

Abstract

New implementations of fully connected neural network architecture are explored, and some efficient implementations based on the pulse-density modulation technique are presented. These VLSI circuits are fully programmable, thereby usable in many applications. The architecture is implemented by using two different approaches: analog implementation with switched-capacitor structures and fully digital implementation. The approaches are also compared from the VLSI point of view. The advantage of the switched-capacitor implementation is the small area of a synapse, thus relatively large networks can be implemented. The architecture of the network is also regular, modular, and easy to expand. For the same complexity of network architecture, the digital implementation requires 30% more silicon area, which can be considered quite insignificant. The advantage of the fully digital implementation is good expandability to larger networks. In addition, single circuits can be joined together to form very large networks.
Original languageEnglish
Pages (from-to)1277-1286
JournalIEEE Journal of Solid-State Circuits
Volume25
Issue number5
DOIs
Publication statusPublished - 1990
MoE publication typeA1 Journal article-refereed

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