Authors: Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea
arXiv
Surprise-based learning allows agents to rapidly adapt to non-stationary stochastic environments characterized by sudden changes. We show that exact Bayesian inference in a hierarchical model gives ri...
Authors: Xinzhi Zhang, Leslie A Hulvershorn, Todd Constable, Yize Zhao, Selena Wang
arXiv
We investigate whether and how we can improve the cost efficiency of neuroimaging studies with well-tailored fMRI tasks. The comparative study is conducted using a novel network science-driven Bayesia...
Authors: Kaibo Zhang, Ji Wu, Chao Zhang, Andrew Thwaites
arXiv
Information Processing Pathway Maps (IPPMs) offer a scalable framework for formalizing the complex sequence of mathematical transformations applied to sensory stimuli. These maps chart the latency and...
Authors: Adam Y Shavit
arXiv
Patient-reported pain location is diagnostically decisive for some presentations and nearly uninformative for others. The prevailing account treats this as a single gradient of diagnostic utility gove...
Authors: Giacomo Aletti, Davide Lonardoni, Giovanni Naldi, Thierry Nieus
arXiv
One major challenge in neuroscience is the identification of interrelations between signals reflecting neural activity and how information processing occurs in the neural circuits. At the cellular and...
Authors: Gastón Avetta, Jose Lobera, Juan José Zárate, Inés Samengo, Damián G. Hernández
arXiv
Perceptual judgments of sequential stimuli are systematically biased by prior expectations and by the temporal structure of sensory input. In haptic discrimination tasks, these effects often manifest...
Authors: Sean Elliott, Christian Gourieroux
arXiv
The aim of this paper is to understand the extreme variability on the estimated reproduction ratio $R_0$ observed in practice. For expository purpose we consider a discrete time stochastic version of...
Authors: Claus Thorn Ekstrøm, Andreas Kryger Jensen
arXiv
Many popular sports involve matches between two teams or players where each team have the possibility of scoring points throughout the match. While the overall match winner and result is interesting,...
Authors: Song-Kyoo, Kim
arXiv
Bigdata is a dataset of which size is beyond the ability of handling a valuable raw material that can be refined and distilled into valuable specific insights. Compact data is a method that optimizes...
Authors: Ismael T. Freire, Adrián F. Amil, Vasiliki Vouloutsi, Paul F. M. J. Verschure
arXiv
The sample-inefficiency problem in Artificial Intelligence refers to the inability of current Deep Reinforcement Learning models to optimize action policies within a small number of episodes. Recent s...
Authors: Brenden M. Lake, Steven T. Piantadosi
arXiv
Machine learning has made major advances in categorizing objects in images, yet the best algorithms miss important aspects of how people learn and think about categories. People can learn richer conce...
Authors: Quentin F. Gronau, K. N. Akash Raj, Eric-Jan Wagenmakers
arXiv
Booming in business and a staple analysis in medical trials, the A/B test assesses the effect of an intervention or treatment by comparing its success rate with that of a control condition. Across man...
Authors: Maria Michela Dickson, Giuseppe Espa, Lorenzo Fattorini
arXiv
Under-coverage and nonresponse problems are jointly present in most socio-economic surveys. The purpose of this paper is to propose a completely design-based estimation strategy that accounts for both...
Authors: Elif Köksal-Ersöz, Carlos Aguilar, Pascal Chossat, Martin Krupa, Frédéric Lavigne
arXiv
In this article we present a biologically inspired model of activation of memory items in a sequence. Our model produces two types of sequences, corresponding to two different types of cerebral functi...
Authors: Ivan Lazarevich, Ilya Prokin, Boris Gutkin, Victor Kazantsev
arXiv
Modern well-performing approaches to neural decoding are based on machine learning models such as decision tree ensembles and deep neural networks. The wide range of algorithms that can be utilized to...