Title :
A family of floating-gate adapting synapses based upon transistor channel models
Author :
Gordon, Christal ; Farquhar, Ethan ; Hasler, Paul
Author_Institution :
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
We have developed a family of three analog VLSI synapses based on three types of biological channel types, Ach-excitatory, NMDA-excitatory, and GABAA-inhibitory in a 0.5 μm CMOS process. We have successfully reproduced EPSPs and IPSPs similar to what is found in biology. Presently, we manually modify synaptic strength. We continue our work to expand self-adapting synapses. Since these synapses are relatively small in area, we anticipate having hundreds of them in a single 1.5 × 1.5 mm die.
Keywords :
CMOS analogue integrated circuits; VLSI; adaptive systems; biology computing; neural chips; neurophysiology; 0.5 microns; Ach-excitatory; CMOS process; EPSP; GABAA-inhibitory; IPSP; NMDA-excitatory; analog VLSI synapses; biological channel; floating-gate adapting synapses; self-adapting synapses; synaptic strength; transistor channel models; Biological system modeling; CMOS technology; Chemicals; Nervous system; Neurons; Neurotransmitters; Nonvolatile memory; Semiconductor device modeling; Silicon; Very large scale integration;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1328195
