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Building a state space for song learning
Highlights•Reinforcement learning (RL) relies on an efficient state space
representation.•The songbird brain implements RL using sparse sequences to represent …
representation.•The songbird brain implements RL using sparse sequences to represent …
A t-SNE based classification approach to compositional microbiome data
X Xu, Z **e, Z Yang, D Li, X Xu - Frontiers in Genetics, 2020 - frontiersin.org
As a data-driven dimensionality reduction and visualization tool, t-distributed stochastic
neighborhood embedding (t-SNE) has been successfully applied to a variety of fields. In …
neighborhood embedding (t-SNE) has been successfully applied to a variety of fields. In …
Hyperspectral image-based variety classification of waxy maize seeds by the t-SNE model and procrustes analysis
Variety classification is an important step in seed quality testing. This study introduces t-
distributed stochastic neighbourhood embedding (t-SNE), a manifold learning algorithm, into …
distributed stochastic neighbourhood embedding (t-SNE), a manifold learning algorithm, into …
An avian cortical circuit for chunking tutor song syllables into simple vocal-motor units
How are brain circuits constructed to achieve complex goals? The brains of young songbirds
develop motor circuits that achieve the goal of imitating a specific tutor song to which they …
develop motor circuits that achieve the goal of imitating a specific tutor song to which they …
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
Most applications of deep learning techniques in medical imaging are supervised and
require a large number of labeled data which is expensive and requires many hours of …
require a large number of labeled data which is expensive and requires many hours of …