E. V. Budilova

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We explore from both theoretical and empirical perspectives the hypothesis that a significant part of the worldwide variability in human birthweight results from adaptive responses to local selective pressures. We first developed an agent-based model to simulate the process of evolutionary selection on life history strategy, and then we performed a(More)
The tip-of-the-tongue state, or memory blocking, has been investigated from the point of view of possibilities of its neural network modeling. The results of neuropsychological and neurobiological studies on memory blocking have been reviewed, and basic problems whose solution could contribute to the comprehension of this phenomenon have been formulated.(More)
A review of connectionist or network approach to describe and understand regulatory processes in organism is presented. Network models of neural, genetic, immune and endocrine regulation are considered and a conception of organism as an integrative network system is introduced. A new approach to the problem of organism state control, called associative(More)
We consider a neural network model of age-related cognitive changes in aging brain based on Hopfield network with a sigmoid function of neuron activation. Age is included in the activation function as a parameter in the form of exponential rate denominator, which makes it possible to take into account the weakening of interneuronal links really observed in(More)
A model of human life-history evolution based on the optimization of resource partition by an individual between its growth, reproduction and survival is used for searching evolutionarily optimal state-dependent strategies of energy allocation under different combinations of the model parameters representing food availability and environmental stresses.(More)
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