bioRxivNeurosciencePreprint
Learning receptive field properties of complex cells in V1
Yanbo LianiD, Ali AlmasiiD, David Bruce GraydeniD, Tatiana KamenevaiD, Anthony Neville BurkittiD, Hamish Meffin AiD
Abstract
The authors have withdrawn their manuscript due to a duplicate posting on our website. Please visit doi.org/10.1101/2020.05.18.101881 to access the current version of this preprint on bioRxiv
- Citations
- 2
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Learning receptive field properties of complex cells in V1
Yanbo Lian, Ali Almasi, … Hamish Meffin A·PLoS Computational BiologyPeer-reviewed·Mar 2, 2021
- How Stimulus Statistics Affect The Receptive Fields of V1 Cells
Ali Almasi, Shi Hai Sun, … Michael R. Ibbotson·bioRxiv·Mar 8, 2021
- Estimating receptive fields of simple and complex cells in early visual cortex: A convolutional neural network model with parameterized rectification
Philippe Nguyen, Jinani Sooriyaarachchi, … Curtis L. Baker·PLoS Computational BiologyPeer-reviewed·May 31, 2024
- Primate V2 Receptive Fields Derived from Anatomically Identified Large-Scale V1 Inputs
Mahlega S. Hassanpour, Sam Merlin, … Alessandra Angelucci·bioRxiv·Mar 22, 2024
- Simultaneous development and periodic clustering of simple and complex cells in visual cortex
GwangSu Kim, Jaeson Jang, Se‐Bum Paik·bioRxiv·Sep 25, 2019
- Current models cannot account for V1’s specialisation for binocular natural image statistics
Sid Henriksen, Daniel A. Butts, … Bruce G. Cumming·bioRxiv·Dec 16, 2018