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共检索到91条 ,权限内显示50条;
Data from: Human sound localization depends on sound intensity: implications for sensory coding
- 负责人：
- 关键词：
- interaural time difference;neural coding;Jeffress model;sound localization;Psychometrics;hearing
- DOI：
- doi:10.5061/dryad.t8c381f
- 摘要：
- . The labelled-line model encodes location through tuned representations of spatial location and predicts that perceived direction is level invariant. In contra
Data from: Limitations of rotational manoeuvrability in insects and hummingbirds: evaluating the effects of neuro-biomechanical delays and muscle
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.5t0g4
- 摘要：
- about the roll axis as it requires the least muscle mechanical power and can tolerate the largest neural delays.
Data from: De novo transcriptome assembly for the lobster Homarus americanus and characterization of differential gene expression ac
- 负责人：
- 关键词：
- transcriptome RNA-Seq gene expression central pattern generation locomotion neuronal differentiation lobster nervous system CNS heart
- DOI：
- doi:10.5061/dryad.h617h
- 摘要：
- ecosystems, and a well-studied model for central pattern generation, the neural networks that control rhythmic motor patterns. Despite multi-faceted scientific int
Data from: High-frequency resonance in the gerbil medial superior olive
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.2tp56
- 摘要：
- and of the model is of particular interest also because previous studies of resonance typically involved neurons/models (type II excitable, such as the standar
Manipulation of RGCs response using different stimulation strategies for retinal prosthesis
- 负责人：
- 关键词：
- Biomedical Engineering biomedical engineering neural engineering neural stimulation electrophysiology calcium imaging multielectrode arrays retina retinal ganglion cells retinal prosthesis
- DOI：
- doi:10.25549/usctheses-c40-446234
- 摘要：
- age-related macular degeneration, via a camera-driven multielectrode array that electrically stimulates surviving retinal neurons. To analyze the effectiveness of these impla
Exploration of the role of ARHGEF10 in human disease
- 负责人：
- 关键词：
- Biochemistry and Molecular Medicine ARHGEF10 Charcot-Marie-Tooth Disease CMT cancer neuropathy peripheral neuropathy protein rare disease genetics
- DOI：
- doi:10.25549/usctheses-c40-496015
- 摘要：
- ie-Tooth disease, a peripheral neuropathy affecting 1 in 2500 people. In Chapter 4, I review the animal models currently used in the study of ARHGEF10-related diseases and discuss how these
Data from: A convolutional neural network for detecting sea turtles in drone imagery
- 负责人：
- Gray, Patrick C.
- 关键词：
- convolutional neural networks deep learning for ecology marine megafauna marine population monitoring object detection sea turtles unoccupied aircraft systems
- DOI：
- doi:10.5061/dryad.5h06vv2
- 摘要：
- ;4.Our findings highlight the feasibility of combining UAS and neural networks to estimate population levels of diverse marine animals and suggest tha
ndom Forest and artificial Neural Network
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.qn7d3
- 摘要：
- ndom Forest- and artificial Neural Networks-algorithms. These models were trained with a recently established dataset specific for acute hepatotoxicity in humans. Using this dataset, a set
Data from: Timing of perineuronal nets development in the zebra finch song control system correlates with developmental song learning
- 负责人：
- DOI：
- doi:10.5061/dryad.515n9k9
- 摘要：
- sticity. This relationship has mostly been studied in the ocular dominance model in rodents. Previous studies also indicated that PNN might control neural pla
Monitoring crop health, growth and its stand count attributes using UAV based precision agriculture: a study in tropical farmland of Thailand
- 负责人：
- Teerayut Horanont, Advisor
- 关键词：
- NDVI Modified infrared CMOS sensor UAV photogrammetry Multi-temporal CSM Crop growth Deep-learning Object detection Crop Counting
- DOI：
- doi:10.14457/tu.the.2017.344
- 摘要：
- imagery. To detect the palm trees, the YOLO v2. Neural Net was modified and fine-tuned on our dataset consisting 255 images of palm trees, each of 4000 x 3000
