publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Learning and Inference with Correlated Neural Variability
    Yang Qi, Zhichao Zhu, Yiming Wei, and 5 more authors
    PNAS Nexus, 2025
    DOI
  2. Toward a Free-Response Paradigm of Decision-Making in Spiking Neural Networks
    Zhichao Zhu, Yang Qi, Wenlian Lu, and 3 more authors
    Neural Computation, Jan 2025
    DOI
  3. Stochastic Forward-Forward Learning through Representational Dimensionality Compression
    Zhichao Zhu, Yang Qi, Hengyuan Ma, and 2 more authors
    arXiv preprint arXiv:2505.16649, Jan 2025

2024

  1. Learning to integrate parts for whole through correlated neural variability
    Zhichao Zhu, Yang Qi, Wenlian Lu, and 1 more author
    PLOS Computational Biology, Sep 2024
    DOI

2023

  1. Fractionation of neural reward processing into independent components by novel decoding principle
    Shitong Xiang, Tianye Jia, Chao Xie, and 5 more authors
    NeuroImage, Dec 2023
    DOI