Results 91 to 100 of about 2,193,761 (259)

Probing the Energy Landscape of α‐Synuclein Amyloid Fibril Formation by Systematic K‐to‐Q Mutagenesis

open access: yesAdvanced Science, EarlyView.
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka   +10 more
wiley   +1 more source

Bayesian inference is facilitated by modular neural networks with different time scales.

open access: yesPLoS Computational Biology
Various animals, including humans, have been suggested to perform Bayesian inferences to handle noisy, time-varying external information. In performing Bayesian inference by the brain, the prior distribution must be acquired and represented by sampling ...
Kohei Ichikawa, Kunihiko Kaneko
doaj   +1 more source

Gaussian mixture models and semantic gating improve reconstructions from human brain activity

open access: yesFrontiers in Computational Neuroscience, 2015
Better acquisition protocols and analysis techniques are making it possible to use fMRI to obtain highly detailed visualizations of brain processes. In particular we focus on the reconstruction of natural images from BOLD responses in visual cortex.
Sanne eSchoenmakers   +3 more
doaj   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

open access: yesAdvanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu   +11 more
wiley   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

open access: yesAdvanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen   +11 more
wiley   +1 more source

A Bayesian approach for adaptive BCI classification

open access: yes, 2022
S.54-55In this article, we present an adaptive classifier for BCI based on a mixture of Gaussian (moG) model of the features and a dynamical Bayesian model of the class means.
Krauledat, M.   +2 more
core   +1 more source

Retrospective Grid Cells in the Medial Entorhinal Cortex Encode Past Paths During Spatial Navigation

open access: yesAdvanced Science, EarlyView.
Retrospective grid cells are identified in the medial entorhinal cortex, with spatial firing patterns that become most grid‐like when activity is projected onto recently traversed locations. Their coding loses spatial precision in darkness and is disrupted during assisted movement, indicating that entorhinal representations incorporate recent path ...
Ruojin Liu   +10 more
wiley   +1 more source

Bayesian factorial linear Gaussian state-space models for biosignal decomposition [PDF]

open access: yes, 2007
We discuss a method to extract independent dynamical systems underlying a single or multiple channels of observation. In particular, we search for one-dimensional subsignals to aid the interpretability of the decomposition. The method uses an approximate
Chiappa, S, Barber, D
core  

Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery [PDF]

open access: yes, 2009
This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Moussaoui, Saïd   +10 more
core   +1 more source

An Expertise Transfer Framework For Autonomous Surgical Assistance

open access: yesAdvanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao   +12 more
wiley   +1 more source

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