This is your work, valued

Princeton, NJ, USA

Qihong Lu

Expert
@qihongl

neural network models of learning and memory

learn-hippo. Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife

46

dnd-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.

38

nnsrm-neurips18. Lu, et al. (2018) Shared Representational Geometry Across Neural Networks. Workshop on Integration of Deep Learning Theories, NeurIPS.

8

demo-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.

6

demo-rumelhart-net. Python

6

reinforcementLearning_practice. learning RL using Richard S. Sutton and Andrew G. Barto's book

5

MVPA_tutorial. MVPA tutorial - Rogers lab brain imaging unit

5

mathCognition_RAM. Apply the recurrent attention mechanism (Mnih, et al., 2014) to counting.

4

stroop-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.

3

pylca. A python implementation of the leaky, competing, accumulator (Usher, & McClelland, 2001).

3

papers.

3

ECE532_reweightedLasso. Iteratively approximate L0 solution by L1 optimizations.

3

free-recall. a neural network model of free recall

3

demo-q-learning. Q learning with neural network based function approximators.

3

RAM. Recurrent Visual Attention Model

3

LCNet. Lu, et al. (2023). Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes.

2

matplotlib_for_papers. Handout for the tutorial "Creating publication-quality figures with matplotlib"

2

when-to-recall. model of recall policy with Cody

2

CS367_DataStructures. This is the repo for CS367 Data Structure @ UW-Madison

1

demo-nonlinearities. some common nonlinearities used in neural networks

1

objectRecognition_RNN. Model the behavioral & neural temporal dynamics of human visual object recognition.

1

STAT310_MathematicalStatistics. R

1

qihongl.github.io. Qihong Lu's personal webpage

1

mathCognition_PDP_RL. Teaching a RL-network to count the number of objects in a scene.

1

ndt-rep. Jupyter Notebook

1

Montague-etal-1996. Replicate Montague, Dayan, and Sejnowski (1996)

1

META-loader. a lightweight loader for the META data (Bezdek et al. 2022)

1

demo-nnalign. a toy demo of lu et al 2018

1