Results 51 to 60 of about 368,659 (337)
Conjunctive Chain Modification to the Boundary Contour System Neural Vision Model [PDF]
, 1993 The Boundary Contour System neural vision model reproduces perceptual illusory boundary formation by a conjunctive boundary completion process within a large cellular receptive field.
Lehar, Steven
core +1 more source
Functional evidence for cone-specific connectivity in the human retina [PDF]
, 2009 NoPhysiological studies of colour vision have not yet resolved the controversial issue of how chromatic opponency is constructed at a neuronal level. Two competing theories, the cone-selective hypothesis and the random-wiring hypothesis, are currently ...
McGraw, Paul V. +3 more
core +1 more source
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS 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
Inference of nonlinear receptive field subunits with spike-triggered clustering
eLife, 2020 Responses of sensory neurons are often modeled using a weighted combination of rectified linear subunits. Since these subunits often cannot be measured directly, a flexible method is needed to infer their properties from the responses of downstream ...
Nishal P Shah +8 more
doaj +1 more source
A Neural Model for Self Organizing Feature Detectors and Classifiers in a Network Hierarchy [PDF]
, 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.
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Computational Identification of Receptive Fields [PDF]
Annual 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
FEBS 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
Attention operates uniformly throughout the classical receptive field and the surround
eLife, 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
Micro-probing enables fine-grained mapping of neuronal populations using fMRI
NeuroImage, 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
Receptive Field Block Net for Accurate and Fast Object Detection
, 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