Results 111 to 120 of about 2,193,761 (259)

1st International Conference on Complex Medical Engineering (CME 2005)

, 2005
[Abstract]: In this paper we describe the human brain as a Bayesian based internal model and use a decomposition strategy to learn and make prediction. This model combines two processes which together contribute to the state estimate and mimic the causal
Wen, Peng, Li, Yan
core  

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Increased breathlessness in post-COVID syndrome despite normal breathing patterns in a rebreathing challenge

Scientific Reports
Severe symptoms in the absence of measurable body pathology are a frequent hallmark of post-COVID syndrome. From a Bayesian Brain perspective, such symptoms can be explained by incorrect internal models that the brain uses to interpret sensory signals ...
Dina von Werder, Maria Aubele, Franziska Regnath, Elisabeth Tebbe, Dejan Mladenov, Victoria von Rheinbaben, Elisabeth Hahn, Daniel Schäfer, Katharina Biersack, Kristina Adorjan, Hans C. Stubbe, Katleen Bogaerts, Rudolf A. Jörres, Dennis Nowak, Omer Van den Bergh, Stefan Glasauer, Nadine Lehnen   +16 more
doaj   +1 more source

A Bayesian model of category-specific emotional brain responses.

PLoS Computational Biology, 2015
Understanding emotion is critical for a science of healthy and disordered brain function, but the neurophysiological basis of emotional experience is still poorly understood.
Tor D Wager, Jian Kang, Timothy D Johnson, Thomas E Nichols, Ajay B Satpute, Lisa Feldman Barrett   +5 more
doaj   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Puzzled by dysfunctional breathing disorder(s)? Consider the Bayesian brain hypothesis! [PDF]

Front Neurosci, 2023
Peiffer C.
europepmc   +1 more source

Preferential trading in agriculture: New insights from a structural gravity analysis and machine learning

American Journal of Agricultural Economics, EarlyView.
Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley   +1 more source

Firearm carrying practices and motivations: A mixed methods study among adults and youth

American Journal of Community Psychology, EarlyView.
Abstract The purpose of this participatory action, mixed methods research study was to identify motivations related to firearm carrying from a qualitative perspective, and then to use quantitative research to characterize the patterns of motivations around carrying.
Krista R. Mehari, Colleen S. Walsh, L. Taylor Stevens, Jasmine N. Coleman, Alice Ellyson, Phillip N. Smith   +5 more
wiley   +1 more source

Analgesia for the Bayesian Brain: How Predictive Coding Offers Insights Into the Subjectivity of Pain. [PDF]

Curr Pain Headache Rep, 2023
Lersch FE, Frickmann FCS, Urman RD, Burgermeister G, Siercks K, Luedi MM, Straumann S.   +6 more
europepmc   +1 more source