Results 1 to 10 of about 367,087 (259)
Concurrent visual sequence learning. [PDF]
Psychol Res, 2023 AbstractMany researchers in the field of implicit statistical learning agree that there does not exist one general implicit learning mechanism, but rather, that implicit learning takes place in highly specialized encapsulated modules. However, the exact representational content of these modules is still under debate. While there is ample evidence for a
Wilts S, Haider H.
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Reconstructing Hyperspectral Images from RGB Images by Multi-Scale Spectral–Spatial Sequence Learning [PDF]
EntropyWith rapid advancements in transformers, the reconstruction of hyperspectral images from RGB images, also known as spectral super-resolution (SSR), has made significant breakthroughs.
Wenjing Chen, Lang Liu, Rong Gao
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Synaptic learning rules for sequence learning
eLife, 2021 Remembering the temporal order of a sequence of events is a task easily performed by humans in everyday life, but the underlying neuronal mechanisms are unclear.
Eric Torsten Reifenstein +2 more
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Putamen Stiffness Declines with Age and Is Associated with Implicit Sequence Learning Outcomes [PDF]
Brain SciencesBackground/Objectives: Sequence learning, the ability to pick up on regularities in our environment to facilitate behavior, is critically dependent on striatal structures in the brain, with the putamen emerging as a critical hub for implicit sequence ...
Hyeon Jung Heselton +5 more
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Effect of Spatial Contiguity on Learning Sequences of Positions
Acta Colombiana de Psicología, 2023 Four conditions of spatial contiguity of positions were used to assess sequence learning. Two sequences of 16 and 25 po-sitions presented in two matrices of 4×4 and 5×5 respectively were used.
Jairo Tamayo +2 more
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System model of neuromorphic sequence learning on a memristive crossbar array
Neuromorphic Computing and Engineering, 2023 Machine learning models for sequence learning and processing often suffer from high energy consumption and require large amounts of training data. The brain presents more efficient solutions to how these types of tasks can be solved.
Sebastian Siegel +5 more
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Isotropic Sequence Order Learning [PDF]
Neural Computation, 2003 In this article, we present an isotropic unsupervised algorithm for temporal sequence learning. No special reward signal is used such that all inputs are completely isotropic. All input signals are bandpass filtered before converging onto a linear output neuron.
Porr, Bernd, Wörgötter, Florentin
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Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study
Journal of Imaging, 2020 Analysis of colonoscopy images plays a significant role in early detection of colorectal cancer. Automated tissue segmentation can be useful for two of the most relevant clinical target applications—lesion detection and classification, thereby providing ...
Yunbo Guo +2 more
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Sequence learning in a spiking neuronal network with memristive synapses
Neuromorphic Computing and Engineering, 2023 Brain-inspired computing proposes a set of algorithmic principles that hold promise for advancing artificial intelligence. They endow systems with self learning capabilities, efficient energy usage, and high storage capacity.
Younes Bouhadjar +5 more
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Frontiers in Human Neuroscience, 2021 Tourette syndrome is a childhood-onset neurodevelopmental disorder characterized by motor and vocal tics. On the neural level, tics are thought to be related to the disturbances of the cortico-basal ganglia-thalamo-cortical loops, which also play an ...
Eszter Tóth-Fáber +10 more
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