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Aug 11, 2015 · This paper presents a neurally plausible algorithm for the representation of visual inputs by cortical neurons. It has been demonstrated in ...
A non-negative approximation algorithm for the representation of visual inputs by cortical neurons using thresholding is presented and validated via ...
Cortical surface-based analysis of fMRI data has proven to be a useful method with several advantages over 3-dimensional volumetric analyses.
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A theory of early visual information processing proposed by Marr and co-workers suggests that simple cortical cells may be involved in the detection of zer.
This paper presents a neurally plausible algorithm for the representation of visual inputs by cortical neurons. It has been demonstrated in previous theoretical ...
Nov 15, 2020 · Data-driven components are un-thresholded to enable the comparison between the negative values in the ICA components and the sparse, non- ...
Sep 1, 2009 · This model is based on a nonnegative matrix factorization (NMF) basis decomposition method. NMF alone provides a parts-based representation ...
This paper presents a neurally plausible algorithm for the representation of visual inputs by cortical neurons. It has been demonstrated in previous theoretical ...
, Chunli Song, Chengbin Zeng: Non-negative Approximation with Thresholding for Cortical Visual Representation. ICIC (1) 2015: 167-176. [c4]. view. electronic ...
May 29, 2005 · We compare two common methods for detecting functional connectivity: thresholding correlations and singular value decomposition (SVD).