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Homogenous chaotic network serving as a rate/population code to temporal code converter

Abstract: At present, it is obvious that different sections of nervous system utilize different methods for information coding. Primary afferent signals in most cases are represented in form of spike trains using a combination of rate coding and population coding while there are clear evidences that temporal coding is used in various regions of cortex. In the present paper, it is shown that conversion between these two coding schemes can be…
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Creating a pre-populated dictionary directly from the results of an analysis

PolyAnalyst 6.5.1402 introduces a new, convenient feature for creating custom dictionaries. When analyzing text, you can use dictionaries to bias and tweak your analytic results, such as by excluding keywords through the use of a stop list, or grouping keywords as synonyms through the use of a thesaurus-like dictionary. PolyAnalyst ships with a variety of default dictionaries to kick start your analytical projects. Sometimes the default dictionaries are enough, but…
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Self-organization process in large spiking neural networks leading to formation of working memory mechanism

The paper is devoted to implementation and exploration of evolutionary development of the short-term memory mechanism in spiking neural networks (SNN) starting from initial chaotic state. Short-term memory is defined here as a network ability to store information about recent stimuli in form of specific neuron activity patterns. Stable appearance of this effect was demonstrated for so called stabilizing SNN, the network model proposed by the author. In order to…
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