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• W2916840344 abstract "Modern techniques for multi-neuronal recording produce large amounts of data. There is no automatic procedure for the identification of states in recurrent voltage patterns.We propose NetSAP (Network States And Pathways), a data-driven analysis method that is able to recognize multi-neuron voltage patterns (states). To capture the subtle differences between snapshots in voltage recordings, NetSAP infers the underlying functional neural network in a time-resolved manner with a sliding window approach. Then NetSAP identifies states from a reordering of the time series of inferred networks according to a user-defined metric. The procedure for unsupervised identification of states was developed originally for the analysis of molecular dynamics simulations of proteins.We tested NetSAP on neural network simulations of GABAergic inhibitory interneurons. Most simulation parameters are chosen to reproduce literature observations, and we keep noise terms as control parameters to regulate the coherence of the simulated signals. NetSAP is able to identify multiple states even in the case of high internal noise and low signal coherence. We provide evidence that NetSAP is robust for networks with up to about 50% of the neurons spiking randomly. NetSAP is scalable and its code is open source.NetSAP outperforms common analysis techniques, such as PCA and k-means clustering, on a simulated recording of voltage traces of 50 neurons.NetSAP analysis is an efficient tool to identify voltage patterns from neuronal recordings." @default.
• W2916840344 created "2019-03-02" @default.
• W2916840344 creator A5024363437 @default.
• W2916840344 creator A5035048768 @default.
• W2916840344 creator A5050271415 @default.
• W2916840344 date "2019-04-01" @default.
• W2916840344 modified "2023-10-18" @default.
• W2916840344 title "Unsupervised identification of states from voltage recordings of neural networks" @default.
• W2916840344 cites W1501360999 @default.
• W2916840344 cites W1510964369 @default.
• W2916840344 cites W1669444220 @default.
• W2916840344 cites W1902335101 @default.
• W2916840344 cites W1904639934 @default.
• W2916840344 cites W1915327177 @default.
• W2916840344 cites W1944155217 @default.
• W2916840344 cites W1962262455 @default.
• W2916840344 cites W1972727462 @default.
• W2916840344 cites W1976623182 @default.
• W2916840344 cites W1976904430 @default.
• W2916840344 cites W1977906889 @default.
• W2916840344 cites W1979486221 @default.
• W2916840344 cites W1979589822 @default.
• W2916840344 cites W1979702373 @default.
• W2916840344 cites W1980773744 @default.
• W2916840344 cites W1983753875 @default.
• W2916840344 cites W1984931175 @default.
• W2916840344 cites W1985940938 @default.
• W2916840344 cites W1992147695 @default.
• W2916840344 cites W1998104411 @default.
• W2916840344 cites W1999127002 @default.
• W2916840344 cites W2000372473 @default.
• W2916840344 cites W2000730765 @default.
• W2916840344 cites W2007495909 @default.
• W2916840344 cites W2008284899 @default.
• W2916840344 cites W2010864673 @default.
• W2916840344 cites W2013455564 @default.
• W2916840344 cites W2017539895 @default.
• W2916840344 cites W2018027127 @default.
• W2916840344 cites W2020652391 @default.
• W2916840344 cites W2022132580 @default.
• W2916840344 cites W2022809683 @default.
• W2916840344 cites W2022944328 @default.
• W2916840344 cites W2024299022 @default.
• W2916840344 cites W2025215158 @default.
• W2916840344 cites W2026684998 @default.
• W2916840344 cites W2032763119 @default.
• W2916840344 cites W2034048511 @default.
• W2916840344 cites W2034379782 @default.
• W2916840344 cites W2037035617 @default.
• W2916840344 cites W2041782669 @default.
• W2916840344 cites W2044215073 @default.
• W2916840344 cites W2045575714 @default.
• W2916840344 cites W2045683730 @default.
• W2916840344 cites W2046031057 @default.
• W2916840344 cites W2047464323 @default.
• W2916840344 cites W2047750300 @default.
• W2916840344 cites W2055554935 @default.
• W2916840344 cites W2056336718 @default.
• W2916840344 cites W2060589548 @default.
• W2916840344 cites W2061464631 @default.
• W2916840344 cites W2063132105 @default.
• W2916840344 cites W2067393309 @default.
• W2916840344 cites W2076953551 @default.
• W2916840344 cites W2077208091 @default.
• W2916840344 cites W2077555515 @default.
• W2916840344 cites W2079960018 @default.
• W2916840344 cites W2080700771 @default.
• W2916840344 cites W2081826483 @default.
• W2916840344 cites W2082352870 @default.
• W2916840344 cites W2087185095 @default.
• W2916840344 cites W2088107354 @default.
• W2916840344 cites W2089315051 @default.
• W2916840344 cites W2089912569 @default.
• W2916840344 cites W2090610674 @default.
• W2916840344 cites W2094903960 @default.
• W2916840344 cites W2096519870 @default.
• W2916840344 cites W2097747115 @default.
• W2916840344 cites W2106822551 @default.
• W2916840344 cites W2112601177 @default.
• W2916840344 cites W2116126740 @default.
• W2916840344 cites W2122404337 @default.
• W2916840344 cites W2127187175 @default.
• W2916840344 cites W2129983824 @default.
• W2916840344 cites W2138704896 @default.
• W2916840344 cites W2141472182 @default.
• W2916840344 cites W2144215255 @default.
• W2916840344 cites W2147238273 @default.
• W2916840344 cites W2147607085 @default.
• W2916840344 cites W2147710851 @default.
• W2916840344 cites W2149618055 @default.
• W2916840344 cites W2153227271 @default.
• W2916840344 cites W2165700458 @default.
• W2916840344 cites W2170702893 @default.
• W2916840344 cites W2175184313 @default.
• W2916840344 cites W2180423080 @default.
• W2916840344 cites W2180566385 @default.
• W2916840344 cites W2261030667 @default.
• W2916840344 cites W2276533724 @default.

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