Huzi Cheng
Neuroscience · Indiana University
Publications
13
Citations
71
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2019
Huzi Cheng works in computational neuroscience, building and analyzing computer models of how the brain processes information and makes decisions. Recent work spans recurrent neural network models of flexible decision-making, software tools for interpreting brain imaging signals (MEG/EEG), and studies of how large language models are affecting scientific writing and research.
Publication activity has grown over the last decade, rising from occasional single papers to roughly two to four per year since 2023.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- The Use of Large Language Models and Their Association With Enhanced Impact in Biomedical Research and Beyond
MedComm – Future Medicine · 2025
- Have AI-Generated Texts from LLM Infiltrated the Realm of Scientific Writing? A Large-Scale Analysis of Preprint Platforms
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- HNN-core: A Python software for cellular andcircuit-level interpretation of human MEG/EEG
The Journal of Open Source Software · 2023
- Can Machine Learning Algorithms Successfully Predict Grassland Aboveground Biomass?
Remote Sensing · 2022
- A recurrent neural network framework for flexible and adaptive decision making based on sequence learning
PLoS Computational Biology · 2020
- A Recurrent Neural Network Model for Flexible and Adaptive Decision Making based on Sequence Learning
bioRxiv (Cold Spring Harbor Laboratory) · 2019
- bioRxiv (Cold Spring Harbor Laboratory)×5
- Remote Sensing×1
- PLoS Computational Biology×1
- The Journal of Open Source Software×1
- MedComm – Future Medicine×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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