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- W2017028361 abstract "Analyses of neural coding-the representation and processing of spike train information-require multiple methods, because neural systems use many kinds of representations, and many analytic methods require specific types or amounts of data. Complementing widely-available conventional methods, we developed and released open source the following via neuroanalysis.org (Goldberg et al. Neuroinformatics 7, 165-178, 2009): • the downloadable STAToolkit suite of information-theoretic algorithms, • guidance for algorithmic development, use, and applicability to neural systems, and • an in-development AnalysisServer. Toward aiding formulation and tests of hypotheses about neural coding, sensory discrimination, firing pattern variability, synchrony and other relations characterizing multineuronal recordings, we now report expanding capabilities of neuroanalysis.org. Utilizing algorithms, code, and/or insight from twelve collaborators, we expand our set of complementary analytic methods, including additional information measures, dimensional reduction, distinguishing information from purely biophysical variation, and generation of surrogate multineuronal data sets. These include a new entropy estimator (our eighth) the ‘NSB’ method, aiding analyses of highly undersampled data. Examples and demonstrations serve to inform and guide neurophysiologists to select STAToolkit methods. Recent publications and presentations describe STAToolkit methodologies, report a new index characterizing how population activity deviates from maximum-entropy models, and discuss applicability of metrics to synaptic processing and large numbers of neurons. To assist computationally-intensive explorations of databased spike trains, we also offer an in-development AnalysisServer, an open-access dedicated large-scale computational array. ‘Analyze’ links will enable dataset grouping, parsing, concatenation, and entropy and information determination from data at neurodatabase.org. Parallel enhancements to neurodatabase.org are intended to aid understanding of neural function in both normal and disease states. We continue to accommodate and solicit an expanding set of data types including recordings from multiple preparations. Supported by Human Brain Project/Neuroinformatics MH068012 from NIMH, NINDS, NIA, NIBIB and NSF." @default.
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- W2017028361 date "2010-01-01" @default.
- W2017028361 modified "2023-09-26" @default.
- W2017028361 title "Neuroanalysis.Org: Information-Theoretic and Extended Analyses of Neural Coding" @default.
- W2017028361 doi "https://doi.org/10.1016/j.bpj.2009.12.759" @default.
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