This repository contains a collection of laboratory assignments and projects in Cognitive Neuroscience and Computational Neurobiology.
The project is organized into four main modules, each focusing on a different aspect of brain data analysis: Psychophysics, Spike Sorting, EEG, and fMRI.
Behavioral data analysis using psychophysical modeling.
phase1
data.mat— Raw experimental datasubjectInfo.csv/subjectInfo.mat— Participant informationHW1_description_ICNSpr2025.pdf— Assignment description (Homework 1)Report.pdf— Analysis report and results
phase2
- Placeholder for future analysis phase
Electrophysiological data analysis focused on neuronal spike detection and classification.
phase1
Sorting_data/— Raw neural data for spike sortingHW2_1_Cognitive.ipynb/HW2_1_Cognitive_colab.ipynb— Jupyter notebooks for analysisHW2_description_ICNSpr2025.pdf— Assignment description (Homework 2)report.pdf— Analysis report and visualizations
phase2
- Reserved for advanced spike-sorting experiments
EEG signal processing and multivariate pattern analysis (MVPA).
contents
channel/— Channel layout and configurationsubxx/— Subject data directoryMVPA_main.py— Multivariate Pattern Analysis scriptRDM_main.py— Representational Dissimilarity Matrix computation scriptHW3_description_ICNSpr2025.pdf— Assignment description (Homework 3)Report.pdf— Analytical report and results
Functional MRI data analysis for identifying neural activation patterns in response to cognitive stimuli.
contents
HW4_Cognitive.ipynb— Jupyter notebook for fMRI analysisIntroduction-to-fMRI-Data-Analysis.pdf— Reference and learning materialreport.pdf— Final analysis report