Abstract
It is well known that various types of information can be learned and memorized via repetitive training. In brain information science, it is very important to determine how neuronal networks comprising neurons with fluctuating characteristics reliably learn and memorize information. The aim of this study is to investigate the learning process in cultured neuronal networks and to address the question described above. Previously, we reported that the spikes resulting from stimulation at a specific neuron propagate as a cluster of excitation waves called spike wave propagation in cultured neuronal networks. We also reported that these waves have an individual spatiotemporal pattern that varies according to the type of neuron that is stimulated. Therefore, different spike wave propagations can be identified via pattern analysis of spike trains at particular neurons. Here, we assessed repetitive stimulation using intervals of 0.5 and 1.5 ms. Subsequently, we analyzed the relationship between the repetition of the stimulation and the identification of the different spike wave propagations. We showed that the various spike wave propagations were identified more precisely after stimulation was repeated several times using an interval of 1.5 ms. These results suggest the existence of a learning process in neuronal networks that occurs via repetitive training using a suitable interval.
Highlights
It is well known that various types of information can be learned and memorized
The results depicted in this figure showed that the number of consecutive Identifiable channels increased in some channels
Our recent studies showed that stimulated channels were able to identify various spatiotemporal patterns of spike wave propagation in specific areas of the neuronal network
Summary
It is well known that various types of information can be learned and memorized These processes are based on the functions of large neuronal networks that are assembled through spike propagation (action potentials) via synapses [1,2,3,4,5] in the brain. This phenomenon is similar to radio wave propagation in artificial data communication systems; this phenomenon was termed “spike wave propagation.” In those studies, we showed that stimulated neurons were able to identify various spatiotemporal patterns of spike wave propagation in specific areas (receiving area) of the neuronal network. This has not been confirmed because our previous experiments [24,25] used single stimulation exclusively
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