neural mass models are computational nonlinear models that simulate the activity of a population of neurons as an average neuron, in such a way that different inhibitory post synaptic potential (ipsp) and excitatory post synaptic potential (epsp) signals could be reproduced. these models have been developed either to simulate the recognized neural mechanisms or to predict some physiological fac...

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In order to increase the resolution, we first utilize FMCW to separate signals reflected off from different distances into voxels, so each voxel stands for signal reflected off from a specific distance from the transmitter. Once we have a voxel of interest, we can zoom-in the specific voxel, and analyze the phase shift in that voxel to determine relative movements within that voxel. Figure 1 il...

The relation between performance and stress is described by the Yerkes-Dodson Law but varies significantly between individuals. This paper describes a method for determining the individual optimal performance as a function of physiological signals. The method is based on attention and reasoning tests of increasing complexity under monitoring of three physiological signals: Galvanic Skin Respons...

ion Differential Equations

A century has passed since the publication of William James's Principles of Psychology, yet most of the questions James raised about the relation between physiological events and molar psychological or behavioral processes, such as emotion, remain unanswered. The sluggish progress in capitalizing on physiological signals to address general psychological questions is due in part to shortcomings ...

In this paper, we first regard emotion recognition as a pattern recognition problem, a novel feature selection method was presented to recognize human emotional state from four physiological signals. Electrocardiogram (ECG), electromyogram (EMG), skin conductance (SC) and respiration (RSP). The raw training data was collected from four sensors, ECG, EMG, SC, RSP, when a single subject intention...