Incremental learning with a homeostatic self-organizing neural model
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04112-0
Abstract: AbstractWe present a new self-organized neural model that we term resilient self-organizing tissue (ReST), which can be run as a convolutional neural network, possesses a $$c^\infty $$c∞ energy function as well as a probabilistic interpretation… read more here.
Keywords: neural model; incremental learning; self; learning homeostatic ... See more keywords
Nonsubsampled shearlet domain fusion techniques for CT–MR neurological images using improved biological inspired neural model
Sign Up to like & getrecommendations! Published in 2017 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2017.12.005
Abstract: Abstract The fusion of multimodality medical images performs a very crucial role in the clinical diagnosis, analysis and the treatment of especially in critical diseases. It is considered as an assisted approach for the radiologist… read more here.
Keywords: fusion; neural model; fusion techniques; nonsubsampled shearlet ... See more keywords
Uncertainty Estimation in the Neural Model for Aeromagnetic Compensation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2864239
Abstract: Measuring the performance of an aeromagnetic compensation system is usually difficult. The standard deviation of the signal has been used as an index in the industry. While the standard deviation is drawn from frequency statistics,… read more here.
Keywords: neural model; aeromagnetic compensation; model; standard deviation ... See more keywords
In Search of a Neural Model for Serial Order: A Brain Theory for Memory Development and Higher Level Cognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2022.3168046
Abstract: In order to keep trace of information and grow up, the infant brain has to resolve the problem about where old information is located and how to index new ones. We propose that the immature… read more here.
Keywords: information; development; brain; neural model ... See more keywords
Neural Model of Coding Stimulus Orientation and Adaptation
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computation"
DOI: 10.1162/neco_a_01269
Abstract: The coding of line orientation in the visual system has been investigated extensively. During the prolonged viewing of a stimulus, the perceived orientation continuously changes (normalization effect). Also, the orientation of the adapting stimulus and… read more here.
Keywords: neural model; stimulus orientation; orientation; coding stimulus ... See more keywords
Neural model of lightness scaling in the staircase Gelb illusion.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of vision"
DOI: 10.1167/jov.22.3.35
Abstract: In the staircase Gelb illusion, the range of perceived reflectances of grayscale papers arranged from darkest to lightest in a spotlight is highly compressed relative to the range of actual paper reflectances: close to the… read more here.
Keywords: lightness; gelb illusion; staircase gelb; model ... See more keywords
Deep neural model with self-training for scientific keyphrase extraction
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0232547
Abstract: Scientific information extraction is a crucial step for understanding scientific publications. In this paper, we focus on scientific keyphrase extraction, which aims to identify keyphrases from scientific articles and classify them into predefined categories. We… read more here.
Keywords: neural model; model; scientific keyphrase; keyphrase extraction ... See more keywords
Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural Model
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2018.00126
Abstract: A fundamental challenge in machine learning today is to build a model that can learn from few examples. Here, we describe a reservoir based spiking neural model for learning to recognize actions with a limited… read more here.
Keywords: neural model; training; model; recognize actions ... See more keywords
A decentralised neural model explaining optimal integration of navigational strategies in insects
Sign Up to like & getrecommendations! Published in 2020 at "eLife"
DOI: 10.7554/elife.54026
Abstract: Insect navigation arises from the coordinated action of concurrent guidance systems but the neural mechanisms through which each functions, and are then coordinated, remains unknown. We propose that insects require distinct strategies to retrace familiar… read more here.
Keywords: decentralised neural; explaining optimal; insects; model ... See more keywords