Results 21 to 30 of about 536,680 (248)
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Functional Magnetic Resonance Imaging (fMRI) provides more precise spatial and temporal information to reconstruct stimulus images than other technologies that can be used to measure the human brain’s neural responses.
Shuo Huang +4 more
doaj +1 more source
Statistical Alignment of Retropseudogenes and Their Functional Paralogs [PDF]
Molecular Biology and Evolution, 2005 We describe a model for the sequence evolution of a processed pseudogene and its paralog from a common protein-coding ancestor. The model accounts for substitutions, insertions, and deletions and combines nucleotide- and codon-level mutation models. We give a dynamic programming method for calculating the likelihood of homology between two sequences in
Miklós, Csurös, István, Miklós
openaire +2 more sources
Regression and Alignment for Functional Data and Network Topology
Biostatistics, 2023 In the brain, functional connections form a network whose topological organization can be described by graph-theoretic network diagnostics. These include characterizations of the community structure, such as modularity and participation coefficient, which have been shown to change over the course of childhood and adolescence.
Danni Tu +8 more
openaire +3 more sources
Correction: Benchmarking tools for the alignment of functional noncoding DNA [PDF]
BMC Bioinform., 2004 AbstractIn follow-up studies to this work [1], we have identified an error in a single line of code responsible for parsing BLASTZ [2] alignments that affects our previously published results for this alignment tool. This error resulted in a reduction in overall alignment coverage, with a concomitant underestimation of alignment sensitivity and ...
Daniel A. Pollard +4 more
openaire +8 more sources
Diffeomorphic functional brain surface alignment: Functional demons [PDF]
NeuroImage, 2017 Aligning brain structures across individuals is a central prerequisite for comparative neuroimaging studies. Typically, registration approaches assume a strong association between the features used for alignment, such as macro-anatomy, and the variable observed, such as functional activation or connectivity.
Karl-Heinz Nenning +5 more
openaire +2 more sources
Modeling Semantic Encoding in a Common Neural Representational Space
Frontiers in Neuroscience, 2018 Encoding models for mapping voxelwise semantic tuning are typically estimated separately for each individual, limiting their generalizability. In the current report, we develop a method for estimating semantic encoding models that generalize across ...
Cara E. Van Uden +8 more
doaj +1 more source
La alineación de la artroplastia de rodilla. Antiguos mitos y nuevas controversias
Revista Española de Cirugía Ortopédica y Traumatología, 2021 Resumen: Existe controversia en cuanto a la mejor técnica de alineación en las artroplastias de rodilla. La alineación mecánica persigue mantener el eje de la extremidad en 180 ± 3°, y para ello utiliza la instrumentación estándar y las liberaciones ...
D. Hernández-Vaquero
doaj +1 more source
Behavior Alignment via Reward Function Optimization
Advances in Neural Information Processing Systems 36, 2023 Designing reward functions for efficiently guiding reinforcement learning (RL) agents toward specific behaviors is a complex task. This is challenging since it requires the identification of reward structures that are not sparse and that avoid inadvertently inducing undesirable behaviors.
Dhawal Gupta +4 more
openaire +3 more sources
Alignment techniques in total knee arthroplasty
Journal of Joint Surgery and Research, 2023 Purpose: Total knee arthroplasty (TKA) reduces knee pain to improve knee function for painful knee osteoarthritis and provides excellent long-term survivorship. However, approximately 20% of patients remain dissatisfied.
Yukihide Minoda
doaj +1 more source
Functional clustering and alignment methods with applications
Communications in Applied and Industrial Mathematics, 2010 We consider the issue of classification of functional data and, in particular, we deal with the problem of curve clustering when curves are misaligned. In the proposed setting, we aim at jointly aligning and clustering the curves, via the solution of an optimization problem.
SANGALLI, LAURA MARIA +3 more
openaire +3 more sources