Qihong Lu (qihongl)

qihongl

Geek Repo

Company:Princeton University

Location:Princeton, NJ, USA

Home Page:https://qihongl.github.io/

Twitter:@Qihong_Lu

Github PK Tool:Github PK Tool


Organizations
brainhack-princeton
brainiak
brainiak-tutorial-spring-2021
IntelPNI
NEU480
NP330
PrincetonCompMemLab
PrincetonUniversity
ProjectSEM
ReScience

Qihong Lu's repositories

learn-hippo

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

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free-recall

a neural network model of free recall

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brainiak

Brain Imaging Analysis Kit

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LCNet

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

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when-to-recall

model of recall policy with Cody

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META-loader

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

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qihongl.github.io

Qihong Lu's personal webpage

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Rational-Models-of-Categorization

Implements Anderson (1991)'s rational model and a few of its successors.

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meta-model

testing LCNet on Multi-angle Extended Three-dimensional Activity (META) stimulus set

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3-Body-Simulation

A simulation to show the trajectories of three-body systems

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cleanBib

Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries

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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

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demo-elman-1990

learning event boundaries with a RNN

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demo-mds

demo for sklearn.manifold.MDS, made for NEU480 at Princeton

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hopfield-layers

Hopfield Networks is All You Need

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LAT_062923

Codes for "Learning attentional templates for value-based decision-making"

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mcclelland-mcnaughton-lampinen-2020

McClelland, J. L., McNaughton, B. L., & Lampinen, A. K. (2020). Integration of New Information in Memory: New Insights from a Complementary Learning Systems Perspective. In bioRxiv (p. 2020.01.17.909804). https://doi.org/10.1101/2020.01.17.909804

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moul

[Rewrite] The minimalist publishing tool for photographers

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numpy-ml

Machine learning, in numpy

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qihongl

Config files for my GitHub profile.

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