Time Intervals Comparing Neural Network.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 12662588.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
The proposed neuronal network model consisting of several tens of neuron-like elements with graded responses performs a continual analysis of differences (> 25 ms) in time intervals between successive input signals. The network comprises the following building blocks: clock, pattern developing modules, dynamic memory units, coincidence detectors, identifiers. Two types of network organization were developed: one with a loop of modules and another one with a cascade of modules. The activity of the proposed "neuronal" assembly can be channeled to different outputs-depending on whether the stimulus presentation is regular or random. The described computation mechanism can be involved in various time-dependent brain functions. Copyright 1996 Elsevier Science Ltd