Akira Mamiya's repositories
FeatureFinder
Jupyter notebook and "Streamlit" python scripts for identifying features that can predict employee turn over rates at 250 senior care centers across the US. Combines multiple repetition of Lasso regression and linear regression. Integrates U.S. census data, employee salary, and employee tenure with data on employee satisfaction and engagement to improve the prediction accuracy and stability of the model.
Biomechanics-and-function-of-proprioceptors-Python-analysis-functions
Python function for analyzing calcium imaging and cell tracking data from a project "Biomechanics and function of proprioceptors". Contains google colab notebooks and Jupyter notebooks.
Mamiya_etal_2023_Proprioceptor_selectivity_topographic_maps_Analysis_code
Analysis code for data presented in Mamiya et al. (2023) "Origins of proprioceptor feature selectivity and topographic maps in the Drosophila leg" Neuron
NeuralCodingOfLegProprioception_CalciumImagingAnalyses
Matlab scripts for analyzing calcium imaging data presented in "Neural Coding of Leg Proprioception in Drosophila" (Mamiya, Gurung, and Tuthill (2018) Neuron: DOI:https://doi.org/10.1016/j.neuron.2018.09.009)
NeuralCodingOfLegProprioception_LegTrackingAndSynching
Matlab scripts for tracking and analyzing tibia position data presented in "Neural Coding of Leg Proprioception in Drosophila" (Mamiya, Gurung, and Tuthill (2018) Neuron: DOI:https://doi.org/10.1016/j.neuron.2018.09.009)
swcday2
Day 2 of the UW software carpentry example