Title :
Analog CMOS current mode neural primitives
Author :
Diotalevi, F. ; Valle, M. ; Bo, G.M. ; Biglieri, E. ; Caviglia, D.D.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
The CMOS circuit implementation of the feedforward neural primitives of a generic Multi Layer Perceptron network is presented. Basically our approach is based on current mode computation and is aimed at a low power/low voltage circuit implementation; moreover, it is easily scalable to implement networks of any size. Experimental results are reported
Keywords :
CMOS analogue integrated circuits; analogue processing circuits; current-mode circuits; feedforward neural nets; low-power electronics; multilayer perceptrons; neural chips; CMOS circuit implementation; current mode computation; current mode neural primitives; feedforward neural primitives; generic MLP network; low power circuit implementation; low voltage circuit implementation; multilayer perceptron; neuron circuit; scalable design; synaptic circuit; Analog circuits; CMOS analog integrated circuits; CMOS technology; Circuit testing; Computer architecture; Computer networks; Feeds; Low voltage; Neurons; Transconductors;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.856429
