GitHub

Neural Spike Train Analysis Toolbox for Matlab

📖 Start here: 5-minute introduction page — hero, install, five runnable snippets covering simulation → fitting → KS goodness-of-fit → decoding → SSGLM, plus a paper-example thumbnail gallery and v1.4 ...
IEEE

MFT-NNLS: A Toolbox For Passive Macromodeling From Large Immittance and Scattering Data Sets Using Vector Fitting And Residue Perturbation in Matlab

Abstract: This paper describes a Matlab toolbox (MFT-NNLS) for passive macromodeling of large-scale problems defined by admittance, impedance or scattering data in the frequency domain. Vector Fitting ...
C&EN

Machine Learning K-Means Clustering in Interpolative Separable Density Fitting Algorithm: Advancing Accurate and Efficient Cubic-Scaling Density Functional Perturbation Theory ...

Key Laboratory of Precision and Intelligent Chemistry, Department of Chemical Physics and Anhui Center for Applied Mathematics, University of Science and Technology of China, Hefei, Anhui 230026, ...
The Earth Institute Columbia University

Type 2 signal detection theory analysis using meta-d'

Page last updated July 23 2020 (added Fermín Travi's adaptation of Alan Lee's Python scripts for response-specific meta-d' analysis) The original version of this webpage is archived here. MATLAB files ...