ArticleComputational intelligence and neuroscience2012
Detection of M-sequences from spike sequence in neuronal networks.
Article in Computational intelligence and neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 17 citations in OpenAlex.
- Learning process for identifying different types of communication via repetitive stimulation: feasibility study in a cultured neuronal network.AIMS neuroscience · 2019Article
- Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal network.AIMS neuroscience · 2018Article
- Spike Code Flow in Cultured Neuronal Networks.Computational intelligence and neuroscience · 2016Article
- Simulation of Code Spectrum and Code Flow of Cultured Neuronal Networks.Computational intelligence and neuroscience · 2016Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In circuit theory, it is well known that a linear feedback shift register (LFSR) circuit generates pseudorandom bit sequences (PRBS), including an M-sequence with the maximum period of length. In this study, we tried to detect M-sequences known as a pseudorandom sequence generated by the LFSR circuit from time series patterns of stimulated action potentials. Stimulated action potentials were recorded from dissociated cultures of hippocampal neurons grown on a multielectrode array. We could find several M-sequences from a 3-stage LFSR circuit (M3). These results show the possibility of assembling LFSR circuits or its equivalent ones in a neuronal network. However, since the M3 pattern was composed of only four spike intervals, the possibility of an accidental detection was not zero. Then, we detected M-sequences from random spike sequences which were not generated from an LFSR circuit and compare the result with the number of M-sequences from the originally observed raster data. As a result, a significant difference was confirmed: a greater number of "0-1" reversed the 3-stage M-sequences occurred than would have accidentally be detected. This result suggests that some LFSR equivalent circuits are assembled in neuronal networks.
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