Title :
SPICE simulation of nanoscale non-crystalline silicon TFTs in spiking neuron circuits
Author :
Cantley, Kurtis D. ; Subramaniam, Anand ; Stiegler, Harvey J. ; Chapman, Richard A. ; Vogel, Eric M.
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
Electrical characteristics of nano-crystalline silicon (nc-Si) thin-film transistors (TFTs) are fit using SPICE device models. The corresponding device model geometry is then extrapolated down to submicron dimensions using electrical data measured on a-Si:H transistors as justification. The nanoscale devices are then used to simulate a spiking neuron circuit. The frequency of output voltage pulses in the circuit is a function of the input current. Various loads are added to the output to represent driving of many synapses. Frequency versus current curves from the circuit simulations are compared to biological models. The similarities demonstrate the feasibility of using low-temperature, large-area semiconductor materials such as nc-Si in nanoscale devices to implement neuromorphic electronic designs.
Keywords :
SPICE; circuit simulation; nanostructured materials; neural chips; semiconductor device models; thin film transistors; SPICE device models; SPICE simulation; circuit simulations; device model geometry; electrical characteristics; electrical data; nanocrystalline silicon thin film transistors; nanoscale devices; nanoscale noncrystalline silicon TFT; nc-Si thin-film transistors; neuromorphic electronic designs; output voltage pulses; semiconductor materials; spiking neuron circuits; submicron dimensions; Biological system modeling; Circuit simulation; Electric variables; Frequency; Nanobioscience; Nanoscale devices; Neurons; SPICE; Silicon; Thin film transistors;
Conference_Titel :
Circuits and Systems (MWSCAS), 2010 53rd IEEE International Midwest Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-7771-5
DOI :
10.1109/MWSCAS.2010.5548881