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Email

yanbo.lian@unimelb.edu.au

Credentials


Position
University Guest (Academic)
Department of Biomedical Engineering
Education
PhD
University of Melbourne
Masters
University of Melbourne
Bachelors Degree
Shanghai Jiaotong University
ORCID

0000-0002-8018-9848

Dr Yanbo Lian

University Guest (Academic)
Department of Biomedical Engineering

9 Scholarly works
1 Projects

HIGHLIGHTS

  • 2025

    Journal article

    Emergence of sparse coding, balance and decorrelation from a biologically-grounded spiking neural network model of learning in the primary visual cortex
    DOI: 10.1371/journal.pcbi.1013644
  • 2025

    Journal article

    Relating sparse and predictive coding to divisive normalization
    DOI: 10.1371/journal.pcbi.1013059
  • 2023

    Journal article

    Learning the Vector Coding of Egocentric Boundary Cells from Visual Data
    DOI: 10.1523/JNEUROSCI.1071-22.2023
  • 2023

    Internal Research Grant

    Modelling the Development of Spatial-Temporal Visual Cells in the Brain
  • 2022

    Journal article

    Learning Spatiotemporal Properties of Hippocampal Place Cells
    DOI: 10.1523/ENEURO.0519-21.2022
  • 2021

    Journal article

    Learning receptive field properties of complex cells in V1
    DOI: 10.1371/journal.pcbi.1007957
  • 2021

    Journal article

    Learning an efficient hippocampal place map from entorhinal inputs using non-negative sparse coding
    DOI: 10.1523/ENEURO.0557-20.2021
Yanbo Lian

Latest Honours,
Awards and Fellowships


2024
The University of Melbourne
2024
<p>Dr Yanbo Lian's interdisciplinary research, conducted in collaboration with Prof. Michael Hasselmo and their lab at Boston University, integrates computational modeling with experimental neuroscience. As a computational neuroscientist, Yanbo’s novel research has shed light on uncovering the underlying learning principles of how the brain’s navigational systems develop. His computational model, which merges brain vision and navigation, presents a groundbreaking framework for understanding how sensory systems, like vision, influence the formation of the brain's navigational capabilities. Through his research, Yanbo has advanced our comprehension of the function and learning mechanisms within cortical circuits in the brain. His research has culminated in three important peer-reviewed first authored journal articles and holds promise for applications of his research in areas such as brain-inspired autonomous vehicles.</p> The University of Melbourne

RECENT SCHOLARLY WORKS

  • 2019

    Journal article

    Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding
    DOI: 10.3389/fncir.2019.00013
  • 2019

    Thesis / Dissertation

    Learning receptive field properties in a biologically plausible model of primary visual cortex
  • 2016

    Conference Proceedings

    Parameter Estimation with Binary Observations of Input and Output Signals
    DOI: 10.1109/AUCC.2016.7868193

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