Course Outline:
L1.1: Basic Organization of CNS & PNS
L1.2: Simple Neural Circuits (VOR, stretch)
L1.3: Electrical Signals in Cells , Action Potential
L1.4: Resting Potential of Neuron Membranes
L1.5: Nernst Equation
L2.1: TIC and DOC
L2.2: Time & Space in Propagating Signals
L2.3: Ion Channels
L2.4: Post-synaptic Receptors
L2.5: Neurotransmitters and Pathology
L3.1: Electrical Variables in Cells
L3.3: Observations from Action Potentials
L3.4: Derivation of the Cable Model
L3.5: Time-dependent Solutions
L4.1: Alan Hodgkin and Andrew Huxley
L4.3: Derivation of the Hodgkin-Huxley Equation
L4.4: Insights from Hodgkin-Huxley
L4.5: Further insights from Hodgkin-Huxley
L5.2: Epilepsy
L5.3: Drug Addiction
L5.4: Targeted Muscle Reinnervation
L5.5: Optogenetics
L6.1: Discrete-Time Solutions to Continuous-Time Problems
L6.2: Euler Method
L6.3: Runge-Kutta Method
L6.4: Solving Hodgkin-Huxley
L6.5: 4th Order Runge-Kutta HH Solution in Python
L7.1: Analog Front End
L7.2: Filtering
L7.3: Analog-to-Digital Conversion
L7.4: Full System
L7.5: Bioelectric Prosthesis Control
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