In this repo the homeworks and project of the course "advanced neuroscience", instructed by Dr. Ali Ghazizadeh, are added. Here is a brief discription for each forlder:
Comparison of the computational models and the real neural data in terms of Coefficient of Variation (CV) and Fano Factor.
Study of the population response structure. and decoding.
Study of the noise effect in population encoding and decoding.
Analyzing the Local Field Potential activity ,recorded by multi-electrode array in premotor area F5, to confirm the existence of traveling waves, and measuring their characteristics.
Classical conditioning and learning with uncertainty.
Simulation of a simple model of navigation problem using reinforcement learning in watermaze.
Simulation of evidence accumulation model and studying the relationship between accuracy and reaction time (RT) in decision making.
Using saliency map based methods to predict where humans look.
Study the sparse representation of natural image statistics as the receptive fields of simple cells in primary visual cortex.
Analysis the effects of grasp dimension and grasp force on the motor cortex neurons’ responses during reach to grasp in the monkey.
Studing the feedback alignment method and it's underlying mechanism in backpropagation through random synaptic feedback weights (Final Project).
All folders contain an english report in .pdf format and a main matlab code named "HWxx.mat", "Main.mat", "Main.ipynb" to run. The rest .mat files are the written and used funtions.