zpsheldon Goto Github PK

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.

cohort

Text analysis and user-user recommendation using NLP and machine learning

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.

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.

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