New Results
A non-spatial account of place and grid cells based on clustering models of concept learning
View ORCID ProfileRobert M. Mok, View ORCID ProfileBradley C. Love
doi: https://doi.org/10.1101/421842
Robert M. Mok
Department of Experimental Psychology, University College London, 26 Bedford Way, London, WC1H 0AP, United Kingdom
Bradley C. Love
Department of Experimental Psychology, University College London, 26 Bedford Way, London, WC1H 0AP, United KingdomThe Alan Turing Institute, United Kingdom

Article usage
Posted October 19, 2019.
A non-spatial account of place and grid cells based on clustering models of concept learning
Robert M. Mok, Bradley C. Love
bioRxiv 421842; doi: https://doi.org/10.1101/421842
Subject Area
Subject Areas
- Biochemistry (2494)
- Bioengineering (1749)
- Bioinformatics (9708)
- Biophysics (3921)
- Cancer Biology (2981)
- Cell Biology (4222)
- Clinical Trials (135)
- Developmental Biology (2643)
- Ecology (4112)
- Epidemiology (2033)
- Evolutionary Biology (6915)
- Genetics (5227)
- Genomics (6523)
- Immunology (2197)
- Microbiology (6981)
- Molecular Biology (2771)
- Neuroscience (17367)
- Paleontology (126)
- Pathology (431)
- Physiology (1064)
- Plant Biology (2505)
- Synthetic Biology (834)
- Systems Biology (2694)
- Zoology (435)