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Data from: The perceptual shaping of anticipatory actions
负责人:
关键词:
perceptual learning;computational model;active inference;motor control;Cerebellum
DOI:
doi:10.5061/dryad.1vs77
摘要:
idate the alternative hypothesis that anticipatory control can be realized through a cascade of purely sensory predictions that drive the motor system, reflecti
Data from: Using optimal control to disambiguate the effect of depression on sensorimotor, motivational and goal-setting functions
负责人:
关键词:
Motivation;Computational models;Depression;Reward;motor control
DOI:
doi:10.5061/dryad.50k60
摘要:
an inverse optimal control approach to provide a computational framework that can be used to infer and factorize performance deficits into three components: sensorimotor speed
Data from: Dual dimensionality reduction reveals independent encoding of motor features in a muscle synergy for insect flight control
负责人:
关键词:
features;flight;dimensionality reduction;Muscle;Manduca sexta;motor control;EMG
DOI:
doi:10.5061/dryad.q83d0
摘要:
ed in a reduced set of signals (i.e. synergies)? Motor encoding poses a computational and practical challenge because many muscles typically drive movement
Data from: Humans use multi-objective control to regulate lateral foot placement when walking
负责人:
关键词:
human;lateral balance;walking;locomotion;Stepping;variability;Motor Neuroscience;stochastic;computational model
DOI:
doi:10.5061/dryad.p254480
摘要:
king do not yet achieve both continuous dynamic balance control and the equifinality of foot placement humans exhibit. Appropriate computational models are critical
Data from: Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography
负责人:
关键词:
whole-organism phenomics;3D Imaging;Volumetric histology;phenotypic variation;Danio rerio;registration;Zebrafish;Micro-CT;virtual reality
DOI:
doi:10.5061/dryad.4nb12g2
摘要:
ke histology, histo-tomography allows the detection of phenotypes that require millimeter scale context in multiple planes. We expect the computational
Data from: A model for non-monotonic intensity coding
负责人:
关键词:
neural coding;Drosophila;olfaction;associative learning;Homeostatic plasticity;Stimulus intensity
DOI:
doi:10.5061/dryad.qk0b0
摘要:
ons. The simplicity of the circuit and the robustness of its function under parameter changes make this computational motif an attractive candidate for tuneable
Data from: Do cost functions for tracking error generalize across tasks with different noise levels?
负责人:
关键词:
computational motor control;utility function;myoelectric
DOI:
doi:10.5061/dryad.13qh4
摘要:
Control of human-machine interfaces are well modeled by computational control models, which take into account the behavioral decisions people ma
Data from: Whole-cell properties of cerebellar nuclei neurons in vivo
负责人:
关键词:
in vivo electrophysiology;cerebellar nuclei;Cerebellum
DOI:
doi:10.5061/dryad.31dj3
摘要:
computational modelers of the cerebellar nuclei to update and improve their cerebellar motor learning and performance models by incorporating the large variati
Data from: Do humans optimally exploit redundancy to control step variability in walking?
负责人:
关键词:
Human Walking Locomotion Stepping Motor Control Computational Model Stochastic variability
DOI:
doi:10.5061/dryad.sk55m
摘要:
c cost. Thus, humans exploit task redundancies to achieve robust control while minimizing effort and allowing potentially beneficial motor variability.
Data from: Adaptive nowcasting of influenza outbreaks using Google searches
负责人:
关键词:
data science;Complex systems;computational social science
DOI:
doi:10.5061/dryad.r06h2
摘要:
.4%, compared with a baseline model that uses historic data on flu levels only. We further demonstrate that the MAE of out-of-sample nowcasts can also be significant

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