Results 81 to 90 of about 6,561,703 (356)
Prediction Error Analysis of Finite-Control-Set Model Predictive Current Control for IPMSMs
Energies, 2018 Finite-control-set model predictive current control (FCS-MPCC) has been widely investigated in the field of motor control. When the discrete motor prediction model is not obtained accurately, prediction error often occurs, which can result in improper ...
Jian Li +5 more
doaj +1 more source
FEBS Letters, EarlyView.An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
Surprise and destabilize: prediction error influences episodic memory reconsolidation
Learning & memory (Cold Spring Harbor, N.Y.), 2018 Through the process of “reconsolidation,” reminders can temporarily destabilize memories and render them vulnerable to change. Recent rodent research has proposed that prediction error, or the element of surprise, is a key component of this process; yet,
Alyssa H. Sinclair, Morgan D. Barense
semanticscholar +1 more source
Frontiers in PsychiatryBackgroundAberrant interoceptive processing has been hypothesized to contribute to the pathophysiology of functional neurological disorder, although findings have been inconsistent.
Primavera A. Spagnolo +5 more
doaj +1 more source
FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
Error by design: Methods for predicting device usability
, 2002 This paper introduces the idea of predicting ‘designer error’ by evaluating devices using Human Error Identification (HEI) techniques. This is demonstrated using Systematic Human Error Reduction and Prediction Approach (SHERPA) and Task Analysis For ...
Baber, Christopher +4 more
core +1 more source
Error concealment using motion field interpolation [PDF]
, 1998 In the context of block-based video coding, two error concealment algorithms are presented. The first algorithm is based on bilinear motion field interpolation (BMFI). For each pel in a damaged block, the algorithm recovers a motion vector using bilinear
Al-Mualla, MES +3 more
core +1 more source
Rethinking dopamine as generalized prediction error
bioRxiv, 2017 Midbrain dopamine neurons are commonly thought to report a reward prediction error, as hypothesized by reinforcement learning theory. While this theory has been highly successful, several lines of evidence suggest that dopamine activity also encodes ...
Matthew P. H. Gardner +2 more
semanticscholar +1 more source
Decoding Trans-Saccadic Prediction Error
The Journal of Neuroscience, 2022 We are constantly sampling our environment by moving our eyes, but our subjective experience of the world is stable and constant. Stimulus displacement during or shortly after a saccade often goes unnoticed, a phenomenon called the saccadic suppression of displacement.
Barne, Louise +3 more
openaire +3 more sources
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source