In this work we present an algorithmic approach to the analysis of Visual Sequential Search Test (VSST) based on episode matching method. The data set included two groups patients, one with Parkinson’s disease, and another chronic pain syndrome, along a control group. VSST is eye-tracking modified version Trail Making (TMT) which evaluates high order cognitive functions. method traditionally us...

Many everyday decisions require sequential search, according to which available choice options are observed one at a time, with each observation involving some cost the decision maker. In these tasks, makers need trade-off chances of finding better search. Optimal strategies in such tasks involve threshold rules, terminate search as soon an option exceeding reward value is found. Threshold rule...

This paper proposes a novel approach for an optimal multi-objective optimization for VLSI implementation of Artificial Neural Network (ANN) which is area-power-speed efficient and has high degree of accuracy and dynamic range. A VLSI implementation of feed forward neural network in floating point arithmetic IEEE-754 single precision 32 bit format is presented that makes the use of digital weigh...