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Spike Code Flow in Cultured Neuronal Networks.

Tamura S, Nishitani Y, Hosokawa C, Miyoshi T, Sawai H, Kamimura T, Yagi Y, Mizuno-Matsumoto Y, Chen YW - Comput Intell Neurosci (2016)

Bottom Line: Furthermore, if the spike trains were shuffled in interval orders or in electrodes, they became significantly small.Thus, the analysis suggested that local codes of approximately constant shape propagated and conveyed information across the network.Hence, the codes can serve as visible and trackable marks of propagating spike waves as well as evaluating information flow in the neuronal network.

View Article: PubMed Central - PubMed

Affiliation: NBL Technovator Co., Ltd., 631 Shindachimakino, Sennan 590-0522, Japan.

ABSTRACT
We observed spike trains produced by one-shot electrical stimulation with 8 × 8 multielectrodes in cultured neuronal networks. Each electrode accepted spikes from several neurons. We extracted the short codes from spike trains and obtained a code spectrum with a nominal time accuracy of 1%. We then constructed code flow maps as movies of the electrode array to observe the code flow of "1101" and "1011," which are typical pseudorandom sequence such as that we often encountered in a literature and our experiments. They seemed to flow from one electrode to the neighboring one and maintained their shape to some extent. To quantify the flow, we calculated the "maximum cross-correlations" among neighboring electrodes, to find the direction of maximum flow of the codes with lengths less than 8. Normalized maximum cross-correlations were almost constant irrespective of code. Furthermore, if the spike trains were shuffled in interval orders or in electrodes, they became significantly small. Thus, the analysis suggested that local codes of approximately constant shape propagated and conveyed information across the network. Hence, the codes can serve as visible and trackable marks of propagating spike waves as well as evaluating information flow in the neuronal network.

No MeSH data available.


Related in: MedlinePlus

Movies in the three trials of code flow of Sample A. The code flows for the original, interval shuffled, and random spike trains in each trial are shown (http://www.nbl-technovator.jp/NBL_Tech/paper/CodeFlowFig8.pdf).
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fig8: Movies in the three trials of code flow of Sample A. The code flows for the original, interval shuffled, and random spike trains in each trial are shown (http://www.nbl-technovator.jp/NBL_Tech/paper/CodeFlowFig8.pdf).

Mentions: We can track the appearance of the codes as time-series images (Figure 2). Figures 6 and 7 show the time-series flow of “1011” and “1101.” These series are also shown as movies embedded in Figure 8 with AVI files. We found that the flow was stronger in the Org train than in the Shuf train. Although Figures 6(a) and 7 are from the same specimen as the successive experiments with several-minute intervals, the flow behaviors were markedly different. Within a short time range, such as 20 ms after stimulation, spikes in the different trials appeared at similar time instants, generating peaks on the PSTH [17]. In our case, however, observation time was too long, for example, more than several ten ms after the stimulation to show such synchronous or coherent behavior. That is, we deal with a time epoch where synchronization function by the stimulation has no effect such that each trial runs asynchronously and without repeatability. They were then analyzed statistically.


Spike Code Flow in Cultured Neuronal Networks.

Tamura S, Nishitani Y, Hosokawa C, Miyoshi T, Sawai H, Kamimura T, Yagi Y, Mizuno-Matsumoto Y, Chen YW - Comput Intell Neurosci (2016)

Movies in the three trials of code flow of Sample A. The code flows for the original, interval shuffled, and random spike trains in each trial are shown (http://www.nbl-technovator.jp/NBL_Tech/paper/CodeFlowFig8.pdf).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4863084&req=5

fig8: Movies in the three trials of code flow of Sample A. The code flows for the original, interval shuffled, and random spike trains in each trial are shown (http://www.nbl-technovator.jp/NBL_Tech/paper/CodeFlowFig8.pdf).
Mentions: We can track the appearance of the codes as time-series images (Figure 2). Figures 6 and 7 show the time-series flow of “1011” and “1101.” These series are also shown as movies embedded in Figure 8 with AVI files. We found that the flow was stronger in the Org train than in the Shuf train. Although Figures 6(a) and 7 are from the same specimen as the successive experiments with several-minute intervals, the flow behaviors were markedly different. Within a short time range, such as 20 ms after stimulation, spikes in the different trials appeared at similar time instants, generating peaks on the PSTH [17]. In our case, however, observation time was too long, for example, more than several ten ms after the stimulation to show such synchronous or coherent behavior. That is, we deal with a time epoch where synchronization function by the stimulation has no effect such that each trial runs asynchronously and without repeatability. They were then analyzed statistically.

Bottom Line: Furthermore, if the spike trains were shuffled in interval orders or in electrodes, they became significantly small.Thus, the analysis suggested that local codes of approximately constant shape propagated and conveyed information across the network.Hence, the codes can serve as visible and trackable marks of propagating spike waves as well as evaluating information flow in the neuronal network.

View Article: PubMed Central - PubMed

Affiliation: NBL Technovator Co., Ltd., 631 Shindachimakino, Sennan 590-0522, Japan.

ABSTRACT
We observed spike trains produced by one-shot electrical stimulation with 8 × 8 multielectrodes in cultured neuronal networks. Each electrode accepted spikes from several neurons. We extracted the short codes from spike trains and obtained a code spectrum with a nominal time accuracy of 1%. We then constructed code flow maps as movies of the electrode array to observe the code flow of "1101" and "1011," which are typical pseudorandom sequence such as that we often encountered in a literature and our experiments. They seemed to flow from one electrode to the neighboring one and maintained their shape to some extent. To quantify the flow, we calculated the "maximum cross-correlations" among neighboring electrodes, to find the direction of maximum flow of the codes with lengths less than 8. Normalized maximum cross-correlations were almost constant irrespective of code. Furthermore, if the spike trains were shuffled in interval orders or in electrodes, they became significantly small. Thus, the analysis suggested that local codes of approximately constant shape propagated and conveyed information across the network. Hence, the codes can serve as visible and trackable marks of propagating spike waves as well as evaluating information flow in the neuronal network.

No MeSH data available.


Related in: MedlinePlus