cankocagil/CompNeuro

Computational Neuroscience Applications

Computational Neuroscience Projects of Bilkent University

Assignment 1 : Linear Equations for Neural Cognitive Processes

* Linear Algebra & Probability Theory
* Linear Equations & Inverse Computations
* Sparsest and Least Norm Computing for Linear Equations
* Reverse Inference Cognitive Processes
* Bayesian Statistics & Descriptive Statistics

Assignment 2: Neural Models & Neuron-wise Visual Estimations

* Spike Triggerred Average (STA)
* Spatio-temporal Stimulus Understanding
* Statistical Analysis of Neural Response
* Neural Image Processing & Filtering
* Difference of Gaussians (DoG) Filtering Receptive Fields
* Gabor Receptive Fields & Filtering
* Egde Detection & Otsu Thresholding

Assignment 3: Supervised Learning for Neural Population in Human Visual Cortex

* OLS & Linear Regression
* General Linear Models
* Cross Validation & K-folds
* Bootstraping & Resampling
* Confidence Intervals & P-values
* Hypothesis Testing for Difference of Means, Correlations
* Parametric & Nonparametric Nonlinear Models

Assignment 4: Supervised/Unsupervised Visual Perception

* Encoding & Decoding models for Visual Perception
* Principal Component Analysis (PCA)
* Independent Component Analysis (ICA)
* Nonnegative Matrix Factorization (NNMF)
* Winner Take All Decoder
* Maximum Likelihood Decoder
* Maximum-a-Posteriori Decoder
* Tuning Curves