Title :
Mixed mode VLSI implementation of a neural associative memory
Author :
Heittmann, Arne ; Ruckert, Ulrich
Author_Institution :
Heinz Nixdorf Inst., Paderborn Univ., Germany
Abstract :
A mixed mode digital/analog special purpose VLSI hardware implementation of an associative memory with neural architecture is presented. The memory concept is based on a n×m matrix architecture with binary storage elements holding the connection weights. To enhance the processing speed analog circuit techniques are applied to implement the algorithm for the association. Although analog circuits suffer from device mismatch a moderate precision of the circuit is acceptable since for the given associative memory model only few parts of the circuit participate on the performed information processing steps. Thus, the information processing elements can be integrated very densely on one chip and hence large scale integration with a large number of connection weights is feasible
Keywords :
CMOS integrated circuits; VLSI; content-addressable storage; mixed analogue-digital integrated circuits; neural chips; binary storage elements; connection weights; matrix architecture; mixed mode VLSI implementation; mixed mode digital/analog hardware implementation; neural associative memory; processing speed enhancement; very large scale integration; Analog circuits; Associative memory; Circuit testing; Electronic mail; Hardware; Information processing; Large scale integration; Memory architecture; Neural networks; Very large scale integration;
Conference_Titel :
Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on
Conference_Location :
Granada
Print_ISBN :
0-7695-0043-9
DOI :
10.1109/MN.1999.758878