Author

M. J. Spencer

The University of MelbourneORCID 0000-0002-2001-9054Unclaimed ORCID profile · follow to get notified of new preprints

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Biology Disciplines

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Bioengineering· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Hamish Meffin AiD· 2 shared Anthony Neville BurkittiD· 1 shared D. Leite de CastroiD· 1 shared David Bruce GraydeniD· 1 shared Hinze HogendoorniD· 1 shared Marko A. RuslimiD· 1 shared Yanbo LianiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersNeuroscience

Hamish Meffin AORCID

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2 papers

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedNov 21, 2025

Emergence of Sparse Coding, Balance and Decorrelation from a Biologically-Grounded Spiking Neural Network Model of Learning in the Primary Visual Cortex

Marko A. Ruslim, M. Spencer, Hinze Hogendoorn…·Anthony Neville Burkitt

This study shows that a biologically grounded spiking neural network model of V1 learning exhibits sparse coding, balance, and decorrelation as emergent properties.

4 citations

statistical model

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BioengineeringJournal of Neural EngineeringPeer-reviewedJul 10, 2024

Neural Activity Shaping in Visual Prostheses with Deep Learning

D. Leite de Castro, David Bruce Grayden, Hamish Meffin A, M. J. Spencer

This paper develops an ANN-based method to improve retinal prosthesis image quality by predicting and generating personalized multipolar stimulation patterns.

6 citations

humanelectrophysiology

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