MIT’s Brain and Cognitive Sciences undergraduate program is designed to investigate the mind and brain from multiple perspectives—neuroscience, computation, and cognition. These projects offer hands-on experiences in decoding human behavior, mental processes, and brain activity using both experimental and computational techniques.
EEG-Based Emotion Detection Using Machine Learning
Cognitive Load Measurement Using Pupil Dilation Analysis
Brain-Computer Interface for Assistive Communication
fMRI Analysis of Visual Perception Under Stress
Language Acquisition Modeling in Neural Networks
Effect of Meditation on Neural Connectivity
Simulating Short-Term Memory Using Artificial Neural Networks
Visual Illusion Studies and Brain Interpretation Patterns
Cognitive Decline Prediction Using Behavioral Data
Deep Learning for Alzheimer’s Disease Diagnosis from MRI Scans
Speech Pattern Recognition in Individuals with Dyslexia
Neural Mechanisms Behind Decision Making Under Uncertainty
AI-Powered Mental Health Monitoring via Voice Biomarkers
Impact of Social Media on Adolescent Cognitive Development
Temporal Dynamics of Visual Attention in Eye-Tracking
Neuroplasticity and Recovery After Brain Injury
Studying Synaptic Pruning in Developing Brains
Brainwave Analysis in Creative vs. Logical Thinking
Predicting Learning Styles Using Neuroimaging Data
Development of a Virtual Reality Cognitive Training Program
Neural Decoding of Thought Intentions for Prosthetic Control
Effect of Music Training on Brain Connectivity in Children
Mapping Brain Activity During Sleep Stages
Visual Cortex Response to Abstract Art and Geometry
Emotion Regulation Mechanisms in PTSD Patients
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