Population Coding and the Labeling Problem: Extrinsic Versus Intrinsic Representations

DOI10.1162/NECO_a_00486zbMath1448.92045WikidataQ43559902 ScholiaQ43559902MaRDI QIDQ5378254

Margaret E. Sereno, Anne B. Sereno, Sidney R. Lehky

Publication date: 12 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Neural biology (92C20)

Related Items (4)

Spike Train SIMilarity Space (SSIMS): A Framework for Single Neuron and Ensemble Data Analysis ⋮ Coding Accuracy Is Not Fully Determined by the Neuronal Model ⋮ Ergodicity and parameter estimates in auditory neural circuits ⋮ Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps

Cites Work

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• Modern multidimensional scaling: theory and applications
• Vector reconstruction from firing rates
• Multidimensional Scaling, Tree-Fitting, and Clustering
• Learning low-dimensional representations via the usage of multiple-class labels
• Nonlinear Dimensionality Reduction

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