This is your work, valued
learn-hippo. Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
46dnd-lstm. A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.
38nnsrm-neurips18. Lu, et al. (2018) Shared Representational Geometry Across Neural Networks. Workshop on Integration of Deep Learning Theories, NeurIPS.
8demo-advantage-actor-critic. A pytorch implementation of the advantage actor-critic (A2C) algorithm (Mnih et al. 2016). Used as a demo for NEU330 Computational Modeling of Psychological Function, Spring 2019.
6demo-rumelhart-net. Python
6reinforcementLearning_practice. learning RL using Richard S. Sutton and Andrew G. Barto's book
5MVPA_tutorial. MVPA tutorial - Rogers lab brain imaging unit
5mathCognition_RAM. Apply the recurrent attention mechanism (Mnih, et al., 2014) to counting.
4stroop-cohen-etal-1990. Replicate the neural network model in Cohen et al. (1990). On the control of automatic processes: a parallel distributed processing account of the Stroop effect.
3pylca. A python implementation of the leaky, competing, accumulator (Usher, & McClelland, 2001).
3papers.
3ECE532_reweightedLasso. Iteratively approximate L0 solution by L1 optimizations.
3free-recall. a neural network model of free recall
3demo-q-learning. Q learning with neural network based function approximators.
3RAM. Recurrent Visual Attention Model
3LCNet. Lu, et al. (2023). Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes.
2matplotlib_for_papers. Handout for the tutorial "Creating publication-quality figures with matplotlib"
2when-to-recall. model of recall policy with Cody
2CS367_DataStructures. This is the repo for CS367 Data Structure @ UW-Madison
1demo-nonlinearities. some common nonlinearities used in neural networks
1objectRecognition_RNN. Model the behavioral & neural temporal dynamics of human visual object recognition.
1STAT310_MathematicalStatistics. R
1qihongl.github.io. Qihong Lu's personal webpage
1mathCognition_PDP_RL. Teaching a RL-network to count the number of objects in a scene.
1ndt-rep. Jupyter Notebook
1Montague-etal-1996. Replicate Montague, Dayan, and Sejnowski (1996)
1META-loader. a lightweight loader for the META data (Bezdek et al. 2022)
1demo-nnalign. a toy demo of lu et al 2018
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