Qihong Lu
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Deep learning
Summer 2021 @ Neuromatch Academy
ELE | NEU | PSY 480: fMRI Decoding: Reading Minds Using Brain Scans
Fall 2018 & Spring 2021 @ Princeton University
offcial course description
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class wiki
The Jupyter notebooks we made for the labs are publicly available here!
Some slides used for the labs:
- Logistics; fMRI data format
- Classification and hyperparameter tuning
- Inter-subject connectivity, functional connectivity and representational similarity
- Functional alignment and the shared response model
NEU | PSY 330: Computational Modeling of Psychological Function
Spring 2019 @ Princeton University
offcial course description
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psyneulink
Here're some minimal model demos I wrote. Most of them are on google colab. Let me know if you have trouble running any of them!
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Constraint satisfaction network, the necker cube illusion
code: psyneulink -
The hopfield network, pattern completion
code: numpy -
Temporal difference learning,
higher order conditioning
code: numpy | slides -
Q-learning with function approximation, grid world navigation
code: pytorch and numpy -
RL Training with random search, grid world navigation
code: pytorch -
Advantage actor critic, openAI gym
code: pytorch -
Recurrent neural network, statistical learning
code: pytorch and psyneulink -
The leaky competing accumulator by
Usher & McClelland (2001)
code: numpy, psyneulink -
The stroop model, qualitative replicate Cohen et al (1990)
code: psyneulink | slides -
A memory-augmented neural network
code: pytorch | slides -
Some common nonlinearities used in neural networks
demo
