H. J. Stiegler

TL;DR: Characteristics similar to biological neurons are demonstrated in SPICE simulations of spiking neuron circuits comprised of submicron nanocrystalline silicon (nc-Si) thin-film transistors (TFTs) and the properties of a two-neuron network are explored.

TL;DR: In this paper, the impact of thermal treatment and thickness on the polarization and leakage current of polyvinylidene fluoride-trifluoroethylene copolymer thin film capacitors has been studied.

TL;DR: Neuron circuit characteristics and the Hebbian synaptic learning rule are shown to be similar to biology, and behavior indicates that the system can learn to detect which signals are important in the general population and that there is a spike-timing-dependent component of the learning mechanism.

TL;DR: In this paper, the authors highlight the importance of surface cleaning and SAM chain length by comparing two commonly used short alkyl chains, aminopropyltriethoxysilane (APTES) or 3-(trimethoxyilyl)propyl aldehyde (C4-ald) molecules, with their long-chain counterparts, amino-undecilenyltree-tsilane(AUTES) and 11-(triethoxyml)undecanal (C11-ald), using IR spectroscopy, spect

TL;DR: In this paper, organic and inorganic thin film transistors (TFTs) are fabricated, simulated, and tested for circuit applications and two-dimensional finite element simulation methodology is used.