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期刊名:Neural computation

缩写:NEURAL COMPUT

ISSN:0899-7667

e-ISSN:1530-888X

IF/分区:2.1/Q3

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共收录本刊相关文章索引1655条
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
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Xue-Xin Wei,Alan A Stocker Xue-Xin Wei
Fisher information is generally believed to represent a lower bound on mutual information (Brunel & Nadal, 1998), a result that is frequently used in the assessment of neural coding efficiency. However, we demonstrate that the relation betw...
Isabel Valera,Francisco J R Ruiz,Pablo M Olmos et al. Isabel Valera et al.
We aim at finding the comorbidity patterns of substance abuse, mood and personality disorders using the diagnoses from the National Epidemiologic Survey on Alcohol and Related Conditions database. To this end, we propose a novel Bayesian no...
Victor L Vvedensky,Andrey O Prokofyev Victor L Vvedensky
We studied magnetic signals from the human brain recorded during a second before a self-paced finger movement. Sharp triangular peaks were observed in the averaged signals about 0.7 second before the finger movement. The amplitude of the pe...
Johan Westö,Patrick J C May,Hannu Tiitinen Johan Westö
Robust representations of sounds with a complex spectrotemporal structure are thought to emerge in hierarchically organized auditory cortex, but the computational advantage of this hierarchy remains unknown. Here, we used computational mode...
Motonobu Kanagawa,Yu Nishiyama,Arthur Gretton et al. Motonobu Kanagawa et al.
This letter addresses the problem of filtering with a state-space model. Standard approaches for filtering assume that a probabilistic model for observations (i.e., the observation model) is given explicitly or at least parametrically. We c...
Osamu Hoshino,Meihong Zheng,Kazuo Watanabe Osamu Hoshino
Variability is a prominent characteristic of cognitive brain function. For instance, different trials of presentation of the same stimulus yield higher variability in its perception: subjects sometimes fail in perceiving the same stimulus. ...
Anca Rădulescu Anca Rădulescu
Recent studies have been using graph-theoretical approaches to model complex networks (such as social, infrastructural, or biological networks) and how their hardwired circuitry relates to their dynamic evolution in time. Understanding how ...
Vijay Mohan K Namboodiri,Stefan Mihalas,Marshall G Hussain Shuler Vijay Mohan K Namboodiri
It has been previously shown (Namboodiri, Mihalas, Marton, & Hussain Shuler, 2014) that an evolutionary theory of decision making and time perception is capable of explaining numerous behavioral observations regarding how humans and animals...
David Gómez,Alfonso Rojas David Gómez
A sizable amount of research has been done to improve the mechanisms for knowledge extraction such as machine learning classification or regression. Quite unintuitively, the no free lunch (NFL) theorem states that all optimization problem s...
Hongzhi Tong Hongzhi Tong
We present a better theoretical foundation of support vector machines with polynomial kernels. The sample error is estimated under Tsybakov's noise assumption. In bounding the approximation error, we take advantage of a geometric noise assu...