Coursework
1. Fundamentals of Neuroscience
Series Link: Fundamentals of Neuroscience
Summary:
Harvard’s MicroBachelors Program in Introduction to Neuroscience offers a foundational understanding of how the brain works, from individual neurons to complex systems. Taught by Harvard faculty David Cox, the program covers core topics like neural signaling, brain structure, sensation, and perception. Learners will gain scientific insight into decision-making and behavior while earning college credit. Ideal for those pursuing neuroscience, medicine, or simply curious about the brain, the course also features industry perspectives and real-world applications in health, education, and beyond.
Documentation:
2. Computational Neuroscience
Course link: Computational Neuroscience - Neuromatch Academy
Summary:
This course explores various modeling approaches used in neuroscience to understand brain function. It begins with Intro to Modeling, where you'll learn to classify models by the type of question they ask — what, how, or why — rather than by the tools they use.
In the Machine Learning module, the focus is on data-driven modeling techniques like generalized linear models, dimensionality reduction, and deep learning, to fit models and analyze neural data.
Next, in Dynamical Systems, you’ll build biologically-inspired models of neurons and neural networks using tools from linear systems and explore the mechanisms behind neural dynamics.
The Stochastic Processes module introduces Bayesian inference and decision-making under uncertainty, leading to models that help us understand why the brain might compute certain outcomes.
Finally, the course wraps up with Network Causality, exploring how to determine causal relationships in neural systems beyond mere correlations.
Documentation:
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