Pinned Repositories
C-PAC
Configurable Pipeline for the Analysis of Connectomes
grid-place_cell_network_model
The code and trajectory data for the continuous attractor network model of grid cells and place cells for my senior honors thesis in Cognitive Science at Penn.
bayesian_sensorimotor_integration
This was my final project for my Probabilistic Models of Perception and Cognition course at Penn (PSYC 739 - taught by Dr. Alan Stocker). For this project, I replicated the model and results from Kording & Wolpert's 2004 Nature paper, Bayesian Integration in Sensorimotor Learning.
birdsong_variability_analysis
Code for analysis, statistics, and visualization of spectral and timing variability of zebra finch song - Sheldon et al. (2020). Regulation of vocal precision by noradrenergic modulation of a motor nucleus.
hodgkin-huxley_neuron_model
This project was for my Theoretical and Computational Neuroscience course (BIBB 585), taught by Dr. Vijay Balasubramanian. The goal of the project was to model the dynamics of an action potential based on a Hodgkin-Huxley neuron using differential equations.
cohort
Text analysis and user-user recommendation using NLP and machine learning
nma_deeplearning
Tutorials from Neuromatch Academy's Deep Learning Course
visual_cortical_neuron_analysis
Analysis of direction tuning and coherence dependence of neurons in visual cortical area MT
zpsheldon.github.io
zpsheldon's Repositories
zpsheldon/zpsheldon.github.io
zpsheldon/nma_deeplearning
Tutorials from Neuromatch Academy's Deep Learning Course
zpsheldon/cohort
Text analysis and user-user recommendation using NLP and machine learning
zpsheldon/birdsong_variability_analysis
Code for analysis, statistics, and visualization of spectral and timing variability of zebra finch song - Sheldon et al. (2020). Regulation of vocal precision by noradrenergic modulation of a motor nucleus.
zpsheldon/grid-place_cell_network_model
The code and trajectory data for the continuous attractor network model of grid cells and place cells for my senior honors thesis in Cognitive Science at Penn.
zpsheldon/bayesian_sensorimotor_integration
This was my final project for my Probabilistic Models of Perception and Cognition course at Penn (PSYC 739 - taught by Dr. Alan Stocker). For this project, I replicated the model and results from Kording & Wolpert's 2004 Nature paper, Bayesian Integration in Sensorimotor Learning.
zpsheldon/visual_cortical_neuron_analysis
Analysis of direction tuning and coherence dependence of neurons in visual cortical area MT
zpsheldon/hodgkin-huxley_neuron_model
This project was for my Theoretical and Computational Neuroscience course (BIBB 585), taught by Dr. Vijay Balasubramanian. The goal of the project was to model the dynamics of an action potential based on a Hodgkin-Huxley neuron using differential equations.