PSYCHOPHYSIOLOGIC AND IMMUNOLOGIC CHARACTERISTICS IN PATIENTS WITH BRONCHIAL ASTHMA AND IN HEALTHY MEN WITH DIFFERENT FUNCTIONAL ASYMMETRY OF THE HEMISPHERES OF THE BRAIN

On the basis of the analysis of own and literary data, proved the interaction psychophysiologic and immunologic parameters in healthy people and in patients with bronchial asthma. The main accent was made on the investigation of the role of the functional asymmetry of a brain, as the base phenomenon defining features of mental, vegetative and immunologic activity

Order in Spontaneous Behavior

Brains are usually described as input/output systems: they transform sensory input into motor output. However, the motor output of brains (behavior) is notoriously variable, even under identical sensory conditions. The question of whether this behavioral variability merely reflects residual deviations due to extrinsic random noise in such otherwise deterministic systems or an intrinsic, adaptive indeterminacy trait is central for the basic understanding of brain function. Instead of random noise, we find a fractal order (resembling Lévy flights) in the temporal structure of spontaneous flight maneuvers in tethered Drosophila fruit flies. Lévy-like probabilistic behavior patterns are evolutionarily conserved, suggesting a general neural mechanism underlying spontaneous behavior. Drosophila can produce these patterns endogenously, without any external cues. The fly's behavior is controlled by brain circuits which operate as a nonlinear system with unstable dynamics far from equilibrium. These findings suggest that both general models of brain function and autonomous agents ought to include biologically relevant nonlinear, endogenous behavior-initiating mechanisms if they strive to realistically simulate biological brains or out-compete other agents

D.V.: Project animat brain: Designing the animat control system on the basis of the functional systems theory

Abstract. The paper describes the design of an animat control system (the Animat Brain) that is based of the Petr K. Anokhin's theory of functional systems. We propose the animat control system that consists of a set of functional systems (FSs) and enables predictive and purposeful behavior. Each FS consists of two neural networks: the Actor and the Model. The Actors are intended to form chains of actions and the Models are intended to predict futures events. There are primary and secondary repertoires of behaviors: the primary repertoire is formed by evolution; the secondary repertoire is formed by means of learning. The paper describes both principles of the Animat Brain operation and the particular model of predictive behavior in cellular landmark environment.