Neural Networks
Advanced computational models of brain connectivity
Data Analytics
Statistical analysis of complex neurological datasets
Innovation
Pioneering research methods and breakthrough discoveries
Neuroscience Course Catalog
Comprehensive curriculum designed to explore the complexities of the nervous system and cognitive processes
NEUR 101
Introduction to Neuroscience
3
Credits
Comprehensive introduction to the structure and function of the nervous system. Topics include neuroanatomy, neurophysiology, synaptic transmission, and basic principles of neural computation.
Prerequisites: BIOL 101 or equivalent, CHEM 101 recommended.
NEUR 205
Cognitive Neuroscience
4
Credits
Exploration of the neural mechanisms underlying cognitive processes including attention, memory, language, and executive function. Combines behavioral studies with neuroimaging techniques.
Prerequisites: NEUR 101, PSYC 201, junior standing.
NEUR 310
Computational Neuroscience
3
Credits
Mathematical and computational approaches to understanding neural systems. Topics include neural modeling, network dynamics, machine learning applications, and data analysis techniques.
Prerequisites: NEUR 205, MATH 201 (Calculus), programming experience recommended.
NEUR 425
Advanced Neuroimaging Methods
4
Credits
Hands-on experience with cutting-edge neuroimaging techniques including fMRI, EEG, and MEG. Students learn experimental design, data acquisition, preprocessing, and statistical analysis methods.
Prerequisites: NEUR 205, STAT 301, senior standing or instructor permission.
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