Synapses, Neurons and Brains Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This course offers a comprehensive introduction to neuroscience, exploring the brain's structure, function, and philosophical implications. Over approximately 15 hours of content, learners will progress through foundational and advanced topics, from neurons and synapses to consciousness and neuroethics. The course blends biological, computational, and philosophical perspectives, featuring engaging lectures and flexible scheduling ideal for beginners with basic science knowledge.

Module 1: Brain Excitements for the 21st Century

Estimated time: 2 hours

  • Introduction to modern brain research
  • Connectomics and mapping neural connections
  • Brain-machine interfaces
  • Overview of brain simulation projects

Module 2: The Materialistic Mind – Your Brain's Ingredients

Estimated time: 2 hours

  • Neurons as the basic building blocks of the brain
  • Neuron doctrine and cell theory in neuroscience
  • Synaptic connections and neural communication
  • Structure and function of neural networks

Module 3: Electrifying Brains – Passive Electrical Signals

Estimated time: 2 hours

  • Passive electrical properties of neurons
  • Membrane potential and ion gradients
  • Synaptic potentials and signal integration
  • Role of dendrites in receiving signals

Module 4: Electrifying Brains – Active Electrical Spikes

Estimated time: 1 hour

  • Action potentials and neural signaling
  • Ion channels and voltage-gated mechanisms
  • Hodgkin & Huxley model of spike generation

Module 5: Neurons as Plastic/Dynamic Devices

Estimated time: 2 hours

  • Neuronal plasticity and synaptic changes
  • Learning mechanisms in the brain
  • Memory formation and consolidation
  • Long-term potentiation and depression

Module 6: Cable Theory and Dendritic Computations

Estimated time: 2 hours

  • Cable theory in neuronal signaling
  • Dendritic computations and signal processing
  • Integration of inputs in neural networks

Module 7: Cortical Networks – Out of the Blue Project

Estimated time: 1 hour

  • Simulation of cortical networks
  • The Blue Brain Project and brain modeling
  • Applications of neural simulation

Module 8: Perception, Action, Cognition and Emotions

Estimated time: 1 hour

  • Sensory processing and perception
  • Neural basis of action and behavior
  • Emotional responses and brain circuits

Module 9: From Synapses to Free Will?

Estimated time: 2 hours

  • Consciousness and neural correlates
  • Free will and determinism in neuroscience
  • Neuroethics and philosophical implications

Module 10: Course Conclusion

Estimated time: 1 hour

  • Review of key concepts
  • Synthesis of neuroscience and philosophy
  • Final thoughts and future directions

Prerequisites

  • Basic understanding of biology
  • Familiarity with fundamental physics concepts
  • Interest in neuroscience and brain function

What You'll Be Able to Do After

  • Understand the fundamental components of the brain: neurons, synapses, and neural networks
  • Explain the electrical properties of neurons, including passive and active signaling
  • Describe principles of neural computation and information processing
  • Discuss advanced topics such as brain-machine interfaces, optogenetics, and the Blue Brain Project
  • Engage with philosophical questions related to consciousness and free will
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