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Several results on instability in nonhomogeneous architectures able to generate Turing patterns are presented. The approach makes use of the continuity theorem regarding the dependence of polynomial roots on coefficients and of the root-locus techniques for small, and large parameter deviations from their homogeneous values, respectively. The results are valid for any linearized nonhomogeneous discrete model capable of generating Turing patterns. [ABSTRACT FROM PUBLISHER]

A pulse-based programmable memristor circuit for implementing synaptic weights for artificial neural networks is proposed. In the memristor weighting circuit, both positive and negative multiplications are performed via a charge-dependent Ohm's law (). The circuit is composed of five memristors with bridge-like connections and operates like an artificial synapse with pulse-based processing and adjustability. The sign switching pulses, weight setting pulses and synaptic processing pulses are applied through a shared input terminal. Simulations are done with both linear memristor and window-based nonlinear memristor models. [ABSTRACT FROM AUTHOR]

A very-high-performance Viterbi decoder with a circularly connected two-dimensional analog cellular neural network (CNN) cell array is disclosed. In the proposed Viterbi decoder, the CNN cells with nonlinear unilateral connections are implemented with electronic circuits at nodes on a trellis diagram. The circuits are circularly connected, forming a cylindrical shape so that the cells of the last stage are connected to those of the first stage. Unilateral connections guide the information to flow circularly around the cylindrical surface. Such configuration enables the conceptually infinite length of the trellis diagram to be reduced to a circuit of limited size. The analog circuits does not require any analog-digital converters, which is the major cause of high power consumption and the quantization error. With the parallel analog processing structure, its decoding speed becomes very high. Also, the decoding mechanism using triggering wave of the CNN circuit does not require the path memory. Circuits for the proposed structure have been designed with HSPICE. Features of the proposed Viterbi decoder are compared with those of the conventional digital Viterbi decoder. [ABSTRACT FROM AUTHOR]