Course Description

Welcome to "Fundamentals of Neuroscience: The Electrical Properties of the Neuron," an exciting and comprehensive introduction to the intricate world of neuroscience. This course is the first in a three-part series that delves into the structure and function of the nervous system, from the microscopic level of individual neurons to the complex interactions that enable our social behaviors.

In this course, you'll embark on a fascinating journey through the electrical properties of neurons, laying the foundation for understanding the entire nervous system. Using interactive simulations, you'll have the unique opportunity to construct a neuron piece by piece, gaining hands-on experience with its components and functions. You'll also get a behind-the-scenes look at Harvard's neuroscience labs and learn how to conduct your own DIY neuroscience experiments at home.

What You Will Learn

• Fundamentals of bioelectricity
• The importance and mechanisms of resting potential in neurons
• Properties of passive membranes and their influence on neuronal function
• Action potentials, their underlying currents, and their crucial role in the nervous system
• Practical skills for conducting neuroscience experiments at home

Pre-requisites

Some familiarity with arithmetic, basic algebra, and working with equations is recommended for this course. However, the course is designed to be accessible to beginners in neuroscience.

Course Content

• The ionic basis of the resting potential in neurons
• Calculation methods for determining neuronal electrical potentials
• Resistive and capacitive properties of neurons
• Biological factors influencing neuronal electrical properties
• The mechanism of action potential generation and propagation
• Voltage-gated channels and their role in neuronal signaling
• Ionic currents underlying action potentials
• Action potential propagation along axons
• DIY neuroscience experiments using SpikerBox equipment

Who This Course Is For

• Students interested in pursuing neuroscience or related fields
• Biology and life sciences enthusiasts
• Anyone curious about how the brain and nervous system function
• Individuals looking to gain a solid foundation in neuroscience principles
• Those interested in conducting their own neuroscience experiments at home

Real-World Applications

1. Understanding neurological disorders and their treatments
2. Developing brain-computer interfaces and neural prosthetics
3. Advancing artificial intelligence and machine learning algorithms
4. Improving educational techniques based on how the brain learns
5. Enhancing cognitive performance and mental health strategies
6. Contributing to neuroscience research and drug development
7. Applying neuroscience principles to fields like marketing, user experience design, and robotics