Results 71 to 80 of about 2,095,528 (293)
The Bayesian boom: good thing or bad? [PDF]
A series of high-profile critiques of Bayesian models of cognition have recently sparked controversy. These critiques question the contribution of rational, normative considerations in the study of cognition. The present article takes central claims from
Ulrike eHahn, Hahn, Ulrike, Ulrike Hahn
core +1 more source
A National Consensus Survey for Current Practice in Brain Tumor Management III: Brain Metastasis and Primary Central Nervous System Lymphoma [PDF]
Background: The Guideline Working Group of the Korean Society for Neuro-Oncology (KSNO) conducted the nationwide questionnaire survey for diverse queries facing to treat patients with brain tumor.
김세훈, 윤홍인, 장종희
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Objective This study aimed to investigate hand function trajectories over five years in primary hand osteoarthritis (OA). Additionally, determinants of baseline and longitudinal hand function were assessed. Methods A total of 538 patients with both baseline and five‐year study visits were analyzed.
Annemiek V. E. M. Olde Meule +4 more
wiley +1 more source
Quantifying Uncertainty in Brain Network Measures using Bayesian Connectomics
The wiring diagram of the human brain can be described in terms of graph measures that characterize structural regularities. These measures require an estimate of whole-brain structural connectivity for which one may resort to deterministic or ...
Ronald Johannes Janssen +4 more
doaj +1 more source
Objective Obesity, defined by body mass index (BMI) ≥30 kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA ...
Kristine Godziuk +7 more
wiley +1 more source
Pattern Identification of Subthalamic Local Field Potentials in Parkinson’s Disease
The local field potentials (LFP) in Parkinson’s disease (PD), which contain abundant information related to disease and symptoms, are important for clinical treatment.
Zhang Kun +4 more
doaj +1 more source
Regularization, Action, and Attractors in the Dynamical “Bayesian” Brain [PDF]
Abstract The idea that the brain is a probabilistic (Bayesian) inference machine, continuously trying to figure out the hidden causes of its inputs, has become very influential in cognitive (neuro)science over recent decades. Here, I present a relatively straightforward generalization of this idea: The primary computational task that ...
Spaak, E., Spaak, E.
openaire +3 more sources
Bayesian separation of spectral sources under non-negativity and full additivity constraints [PDF]
This paper studied Bayesian algorithms for separating linear mixtures of spectral sources under non-negativity and full additivity constraints. These two constraints are required in some applications such as hyperspectral imaging and spectroscopy to get ...
Moussaoui, Saïd +3 more
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bayesian: Bindings for Bayesian TidyModels
Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' . 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) ). The technical details of 'brms' and 'Stan' are described in Bürkner (2017) ,
Bürkner, Paul-Christian +1 more
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In this study, we fabricate photovoltaic retinal implants with pyrolytic carbon electrodes and test their ability to stimulate mouse and pig retinas when illuminated with near‐infrared light. We find increased spiking activity in both animal models compared to spontaneous activity and TTX controls and analyze the spike amplitude, latency and frequency.
Akihiro Matsumoto +10 more
wiley +1 more source

