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...
Reduction of Trial-to-Trial Perceptual Variability by Intracortical Tonic Inhibition [0.03%]
皮质 tonic 抑制减少试次间的感知变异性
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. ...
Neural Network Spectral Robustness under Perturbations of the Underlying Graph [0.03%]
扰动图情况下神经网络的谱鲁棒性
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 ...
Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber's Law [0.03%]
基于主观时间积累器的时长与时间贴现误差的解析计算:一种机械论模型及其对韦伯定律的推导
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...
An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification [0.03%]
一个关于没有免费午餐定理及其对现实世界机器学习分类的影响的经验概述
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...