Results 81 to 90 of about 9,049,447 (317)
Emotional intentionality and predictive processing
Dialogues in Clinical Neuroscience & Mental Health, 2020 The detection and the prediction of changes of the world incorporate processes enabling an automatic coding of sameness. Predictions can be formed in relation to stimulus timing, location, or content, while it is not yet clear whether they concern a ...
Orestis Giotakos
doaj +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Synthese, 2018 Abstract Predictive processing has recently been advanced as a global cognitive architecture for the brain. I argue that its commitments concerning the nature and format of cognitive representation are inadequate to account for two basic characteristics of conceptual thought: first, its generality—the fact that we can think and flexibly reason about ...
openaire +1 more source
Transfer of predictive signals across saccades [PDF]
, 2012 Predicting visual information facilitates efficient processing of visual signals. Higher visual areas can support the processing of incoming visual information by generating predictive models that are fed back to lower visual areas.
Petra Vetter +8 more
core +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
Compressed Predictive Information Coding
CoRR, 2022 Unsupervised learning plays an important role in many fields, such as artificial intelligence, machine learning, and neuroscience. Compared to static data, methods for extracting low-dimensional structure for dynamic data are lagging. We developed a novel information-theoretic framework, Compressed Predictive Information Coding (CPIC), to extract ...
Rui Meng +2 more
openaire +2 more sources
Linear predictive coding distinguishes spectral EEG features of Parkinson’s disease
Parkinsonism & Related Disorders, 2020 Objective We have developed and validated a novel EEG-based signal processing approach to distinguish PD and control patients: Linear-predictive-coding EEG Algorithm for PD (LEAPD).
Md Fahim Anjum +5 more
semanticscholar +1 more source
Predictive coding in neural circuits [PDF]
, 2023 The predictive coding theory provides a framework to explain various brain functions, including visual perception and expectation. Despite extensive research, the underlying circuit mechanisms of predictive coding are still poorly understood.
Huang, Shuzheng
core
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source