Results 51 to 60 of about 361,179 (336)

Making tau amyloid models in vitro: a crucial and underestimated challenge

open access: yesFEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Cortico-Cortical Receptive Field Estimates in Human Visual Cortex

open access: yesi-Perception, 2012
Human visual cortex comprises many visual areas that contain a map of the visual field (Wandell et al 2007, Neuron 56 , 366–383). These visual field maps can be identified readily in individual subjects with functional magnetic resonance imaging (fMRI ...
Koen V Haak   +6 more
doaj   +1 more source

Attention operates uniformly throughout the classical receptive field and the surround

open access: yeseLife, 2016
Shifting attention among visual stimuli at different locations modulates neuronal responses in heterogeneous ways, depending on where those stimuli lie within the receptive fields of neurons. Yet how attention interacts with the receptive-field structure
Bram-Ernst Verhoef, John HR Maunsell
doaj   +1 more source

Bayesian population receptive field modeling in human somatosensory cortex

open access: yesNeuroImage, 2020
Somatosensation is fundamental to our ability to sense our body and interact with the world. Our body is continuously sampling the environment using a variety of receptors tuned to different features, and this information is routed up to primary ...
Alexander M. Puckett   +4 more
doaj   +1 more source

A Neural Model for Self Organizing Feature Detectors and Classifiers in a Network Hierarchy [PDF]

open access: yes, 1998
Many models of early cortical processing have shown how local learning rules can produce efficient, sparse-distributed codes in which nodes have responses that are statistically independent and low probability.
Williamson, James R.
core   +1 more source

Central auditory neurons have composite receptive fields [PDF]

open access: yes, 2015
High-level neurons processing complex, behaviorally relevant signals are sensitive to conjunctions of features. Characterizing the receptive fields of such neurons is difficult with standard statistical tools, however, and the principles governing their ...
Gentner, T, Kozlov, A
core   +1 more source

Computational Identification of Receptive Fields [PDF]

open access: yesAnnual Review of Neuroscience, 2013
Natural stimuli elicit robust responses of neurons throughout sensory pathways, and therefore their use provides unique opportunities for understanding sensory coding. This review describes statistical methods that can be used to characterize neural feature selectivity, focusing on the case of natural stimuli.
openaire   +3 more sources

Interaction vesicles as emerging mediators of host‐pathogen molecular crosstalk and their implications for infection dynamics

open access: yesFEBS Letters, EarlyView.
Interaction extracellular vesicles (iEVs) are hybrid vesicles formed through host‐pathogen communication. They facilitate immune evasion, transfer pathogens' molecules, increase host cell uptake, and enhance virulence. This Perspective article illustrates the multifunctional roles of iEVs and highlights their emerging relevance in infection dynamics ...
Bruna Sabatke   +2 more
wiley   +1 more source

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

open access: yesFEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro   +2 more
wiley   +1 more source

Multilevel receptive field expansion network for small object detection

open access: yesIET Image Processing, 2023
Small object detection remains a bottleneck because there is little visual information about them, especially in the deep layers. To improve the detection performance of small objects, here, Swin Transformer is introduced as the model backbone network to
Zhiwei Liu   +4 more
doaj   +1 more source

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