Kass RE, Eden UT, Brown EN (2014) Analysis of neural data, vol 491. SpringerKass R, Eden U & Brown E (2014). Analysis of neural data. Springer New York.Kass, R.E., Eden, U.T., and Brown, E.N. (2014). Analysis of Neural Data. (New York: Springer)....
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et al. Many analysts, one data set: making transparent how variations in analytic choices affect results. Adv. Methods Pract. Psychol. Sci. 1, 337–356 (2018). Google Scholar Tom, S. M., Fox, C. R., Trepel, C. & Poldrack, R. A. The neural basis of loss aversion in decision-...
theory based on the popular splicing analysis method rna velocity will also be demonstrated. finally, we will discuss our recent efforts to interpolate non-stationary time-series scrna-seq data using wasserstein-fisher-rao-metric unbala...
Bayesian Regularization based Neural Network Tool for Software Effort Estimation An algorithmic model provides a mathematical equation for estimation which is based upon the analysis of data gathered from previously developed projects and Non-algorithmic techniques are based on new approaches, such as Soft...
A recent study demonstrates that a self-attention neural network using predictive coding can generate an environmental map in its latent space as an agent that navigates the environment. Margaret C. von Ebers Xue-Xin Wei News & Views08 Aug 2024 ...
Evaluation of Time-Series, Regression and Neural Network Models for Solar Forecasting: Part I: One-Hour Horizon Physics - Data AnalysisStatistics and ProbabilityThe need to forecast solar irradiation at a specific location over short-time horizons has acquired immense ... A Inanlougani,TA Reddy,...
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) ...
NeuroRAis an easy-to-use toolbox based onPython, which can do some works aboutRSAamong nearly all kinds of neural data, includingbehavioral, EEG, MEG, fNIRS, sEEG, ECoG, fMRI and some other neuroelectrophysiological data. In addition, users can doNeural Pattern Similarity (NPS),Spatiotemporal...