Teaching

Neuro 120 Intro to Computational Neuroscience

Semester: 

Fall

Offered: 

2021

This is a class I help TA/TFed in Harvard. It covered the basic computational models and relevant mathematical tools for sensory processing, neuron excitability, memory and learning etc.

  • Sensory encoding, decoding, dimensionality reduction;
  • Visual system, from Retina to visual hierarchy
  • Single neuron models
  • Recurrent Neural Networks, dynamic system, for working memory and long term memory
  • Synaptic plasticity 
  • Reinforcement learning

Here are some tutorials and review...

Read more about Neuro 120 Intro to Computational Neuroscience

BIOL 5648 Coding and Statistical Thinking in the Neurosciences

Semester: 

Spring

Offered: 

2020

This is a class I TAed and helped develop in Washington University in St Louis. It was the first time this course was offered, and it is now required for first year Neuroscience graduate student in WashU. It was directed by Timothy Holy, Larry Snyder, Edward Han and Alexxai Kravitz. 

Here are some tutorial / project I prepared for the class.