Connection‐Strength Estimation of Neuronal Networks by Fitting for Izhikevich Model |
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| Authors: | Takuya Isomura Akimasa Takeuchi Kenta Shimba Kiyoshi Kotani Yasuhiko Jimbo |
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| Affiliation: | University of Tokyo, Japan |
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| Abstract: | Recently, there has been abundant research using multineuron recording, but there are many problems with extracting the features from the obtained spike time series, which are huge in volume and complex. Here we introduce a new method of estimating synaptic connection strengths between neurons by fitting to the Izhikevich model by maximum likelihood estimation. We demonstrate that our method can estimate connection strengths from spike time series given by a simulated neural ensemble and can estimate nonconnectivity between two independent cultured neuronal networks. These results suggest that our method is applicable to network and plasticity analysis of neuronal networks. |
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| Keywords: | synaptic connection strength maximum likelihood estimation parameter fitting microelectrode array (MEA) |
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