Results 61 to 70 of about 361,179 (336)

A Computational Study Of The Role Of Spatial Receptive Field Structure In Processing Natural And Non-Natural Scenes [PDF]

open access: yes, 2018
The center-surround receptive field structure, ubiquitous in the visual system, is hypothesized to be evolutionarily advantageous in image processing tasks.
Barranca, Victor J., Zhu, G.
core   +1 more source

Receptive Field Block Net for Accurate and Fast Object Detection

open access: yes, 2018
Current top-performing object detectors depend on deep CNN backbones, such as ResNet-101 and Inception, benefiting from their powerful feature representations but suffering from high computational costs. Conversely, some lightweight model based detectors
Brian A. Wandell   +9 more
core   +1 more source

Purification tags markedly affect self‐aggregation of CPEB3

open access: yesFEBS Letters, EarlyView.
Although recombinant proteins are used to study protein aggregation in vitro, uncleaved tags can interfere with accurate interpretation. Our findings demonstrate that His₆‐GFP and His₁₂ tags significantly affect liquid droplet and amyloid fibril formation in the intrinsically disordered region (IDR) of mouse cytoplasmic polyadenylation element‐binding ...
Harunobu Saito   +6 more
wiley   +1 more source

Self-selective receptive field network for person re-identification

open access: yesComplex & Intelligent Systems
Person Re-identification (Re-ID) technology aims to solve the matching problem of the same pedestrians at different times and places, which has important application value in the field of public safety.
Shaoqi Hou   +5 more
doaj   +1 more source

Reception and learning of electric fields in bees [PDF]

open access: yesProceedings of the Royal Society B: Biological Sciences, 2013
Honeybees, like other insects, accumulate electric charge in flight, and when their body parts are moved or rubbed together. We report that bees emit constant and modulated electric fields when flying, landing, walking and during the waggle dance. The electric fields emitted by dancing bees consist of low- and high-frequency components. Both components
Greggers, Uwe   +7 more
openaire   +4 more sources

Biological and technical complexities in analyzing extracellular vesicle immune interactions in B‐cell malignancies

open access: yesFEBS Letters, EarlyView.
Extracellular vesicles (EVs) mediate intercellular communication in tumor immune microenvironments. However, their role in B‐cell malignancies remains poorly defined, owing to biological complexity and technical challenges in EV isolation and analysis.
Daniel Bachurski, Michael Hallek
wiley   +1 more source

Receptive field center-surround interactions mediate context-dependent spatial contrast encoding in the retina

open access: yeseLife, 2018
Antagonistic receptive field surrounds are a near-universal property of early sensory processing. A key assumption in many models for retinal ganglion cell encoding is that receptive field surrounds are added only to the fully formed center signal.
Maxwell H Turner   +2 more
doaj   +1 more source

Micro-probing enables fine-grained mapping of neuronal populations using fMRI

open access: yesNeuroImage, 2020
The characterization of receptive field (RF) properties is fundamental to understanding the neural basis of sensory and cognitive behaviour. The combination of non-invasive imaging, such as fMRI, with biologically inspired neural modelling has enabled ...
Joana Carvalho   +5 more
doaj   +1 more source

Cyclic nucleotide signaling as a drug target in retinitis pigmentosa

open access: yesFEBS Letters, EarlyView.
Disruptions in cGMP and cAMP signaling can contribute to retinal dysfunction and photoreceptor loss in retinitis pigmentosa. This perspective examines the mechanisms and evaluates emerging evidence on targeting these pathways as a potential therapeutic strategy to slow or prevent retinal degeneration.
Katri Vainionpää   +2 more
wiley   +1 more source

SODA²:Salient Object Detection With Structure-Adaptive & Scale-Adaptive Receptive Field

open access: yesIEEE Access, 2020
Salient objects with complex shapes and arbitrary sizes are generally hard to detect, especially in cluttered background and complex scenes. Noticing the deficiency of single-feature-based methods, recent methods fused multiple features from Deep Neural ...
Jing Liu   +4 more
doaj   +1 more source

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