Hands-on Computational Neuroscience Virtual Labs for med professionals

- Biophysical and AI models of neurons and neural circuits

Slides/videos (with open-source Virtual/Colab Labs)

1. Background - Mapping the Brain: Neurons, Synapses, and Movement LINK  

2. Exploring Our Brain's Learning Process  LINK

 1. Wired to Think: Exploring the Brain as an Electrical Circuit (60-90 minutes)

2. Learning Fear: Exploring Pavlovian Conditioning and Neural Pathways (60-90 minutes)

3. Connecting the Circuits of Fear: Understanding Neural Pathways and Conditioning (60-90 minutes)

3. Intro to Tone-Shock & Video

4. Inhibition Motifs

5. Network Model of Amygdala

6. Extension to Anxiety Disorders 

7. Case Study - Network model of amygdala 

8. Homework – assignment, submission link

Google Colab notebooks – Python Basics

1. Introduction to Jupyter Notebook, Markdown and Python

2. micro:bit projects

3. Tools for EDA: numpy, pandas, matplotlib

4. Homework – assignment, submission link

___________________________________________________________________

Other relevant resources/publications: (continuing to be updated)

• Open-source tutorials to teach neuroscience 

• Integrating model-based approaches into a neuroscience curriculum – An interdisciplinary neuroscience course in engineering, IEEE Transactions on Education 62(1) 48-56 LINK. 

• Modules for High-School and Community College Faculty (topics: neuroscience, neural engineering, Brain/body as computer/robot - sensors, robotics, ...)