Results 41 to 50 of about 350,954 (315)

An Adaptive Locally Connected Neuron Model: Focusing Neuron

open access: yes, 2020
This paper presents a new artificial neuron model capable of learning its receptive field in the topological domain of inputs. The model provides adaptive and differentiable local connectivity (plasticity) applicable to any domain.
Tek, F. Boray
core   +1 more source

Detection Algorithm of Small Target in Receptive Field Block

open access: yesJisuanji kexue yu tansuo, 2021
The one-stage algorithm SSD (single shot multibox detector) proposed earlier will increase the number of computation channels after 3×3 convolution in the feature extraction of the backbone network. At the same time, these extracted features are directly
CHEN Haoran, PENG Li
doaj   +1 more source

FoxO1 signaling in B cell malignancies and its therapeutic targeting

open access: yesFEBS Letters, EarlyView.
FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac   +3 more
wiley   +1 more source

Thangka Image Segmentation Method Based on Enhanced Receptive Field

open access: yesIEEE Access, 2022
The portrait thangka image is a kind of religious scroll painting that expresses figures’ identity and duties through portraits, sitting platforms, and backlighting.
Hao Wang   +4 more
doaj   +1 more source

Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields

open access: yes, 2017
This work presents a first evaluation of using spatio-temporal receptive fields from a recently proposed time-causal spatio-temporal scale-space framework as primitives for video analysis.
Jansson, Ylva, Lindeberg, Tony
core   +1 more source

The immunological interface: dendritic cells as key regulators in metabolic dysfunction‐associated steatotic liver disease

open access: yesFEBS Letters, EarlyView.
Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi   +3 more
wiley   +1 more source

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

Downsampling Algorithm with Fusion of Different Receptive Field Sizes in Deep Detection Methods [PDF]

open access: yesJisuanji kexue yu tansuo
The advantage of deep detection models primarily benefits from the feature representation ability of the backbone network, where down-sampling plays a key role in semantic integration.
GU Zhenghua, LIU Gaqiong, SHAO Changbin, YU Hualong
doaj   +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

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