Experimental and theoretical studies of nonlinear dependence of the internal resistance and electrode thickness for high performance supercapacitor.

In this study, the internal resistance with the increasing of electrode thickness in a typical nanoporous carbon-based supercapacitor and their corresponding electrochemical performances were designed and investigated in detail. As for the carbon-based double electrode layer electrochemical system, electrochemical experiments greatly support the fact of nonlinear dependence and indicate that the curve of internal resistance vs. electrode thickness can have a minimum value when the thickness increasing from 10 to 140 μm.

[Computer modeling of information processing mechanisms in the olfactory system. III. Reproduction of psychophysical phenomena by the olfactory bulb model].

Psychophysical phenomena typical of olfaction were reproduced using a computer model of olfactory bulb. The procedure of numerical experiments is described. The model reproduces the following phenomena: fusion of odors, strong and weak odors, suppression of weak odors by strong odors, indemnity of odors, changes in odor with time, consecutive olfactory images, sensibilization, consecutive olfactory constrast, and synergims.

[Computer modeling of mechanisms of the information processing in the olfactory bulb. II. Mechanisms of identification and short-term storage in the olfactory bulb: results of the computer experimentation].

The results of experimentation with the computer model of the olfactory bulb are presented. The architecture and scenario of the work of the model were described previously. The dynamic character of the identification process and the mechanism of memorizing short-term of smell stimuli are described.

[Computer modeling of mechanisms of the information processing in the olfactory bulb. I. Model of the structure-functional organizations of neuronal elements in the olfactory bulb and receptor epithelium].

A computer model of the olfactory bulb was constructed. The paper describes: 1) the general architecture of a model neuron network that reflects the neurophysiological experimental and theoretical data on the structural and functional organization of the peripheral part of the olfactory system, the olfactory bulb with inputs from olfactory receptor neurons; 2) the organization of each of three levels of the model: receptors, olfactory glomeruli, and basic neurons; and 3) a scenario of the computer model work. In some aspects, in particular, in the principle of information presentation, the treatment of the role of basic neurons (mitral and tufted cells), and their interrelations in modules, the model favorably differs from the available olfactory bulb models.

[Organization of the input influence in a computer model of the olfactory system].

A computer model of the assumed odor environment and an algorithm of simulating the input influence are proposed. Concentration, volume, and quality of odorant are used as the modeling parameters of the olfactory stimulus.