Author

N. Burgess

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Animal Behavior & Cognition· 2 Ecology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Research Focus:synaptic & neural circuits· 2 Approach:deep learning· 1 Assay:electrophysiology· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1

Frequent Co-Authors

A. Akida· 1 shared B. Landry· 1 shared B. Price· 1 shared C. C. Ract· 1 shared C. McLardy· 1 shared D. Tittensor· 1 shared E. Nashanda· 1 shared F. Rovero· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperEcology

A. Akida

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Nature Forest Reserves in Tanzania and their importance for conservation

C. C. Ract, N. Burgess, L. Dinesen, P. Sumbi, I. Malugu, J. Latham, L. Anderson, R. E. Gereau, M. Goncalves de Lima, A. Akida, E. Nashanda, G. Lyatuu, P. Platts, F. Rovero

This paper assesses the expansion and conservation impact of Tanzania's Nature Forest Reserves, showing increased coverage of habitats and species, but ongoing threats remain.

bioRxiv · Jan 24, 2023Ecology

A probabilistic successor representation for context-dependent prediction

J. P. Geerts, S. J. Gershman, N. Burgess, K. L. Stachenfeld

This paper introduces a probabilistic successor representation model that adapts to uncertainty and context switches, capturing animal behavior in contextual tasks and unifying SR theory with hippocampal function.

bioRxiv · Jun 3, 2022Animal Behavior & Cognition

Replay as structural inference in the hippocampal-entorhinal system

T. Evans, N. Burgess

The paper proposes a dual-systems model of the hippocampal-entorhinal system, explaining grid cell firing patterns and replay through probabilistic inference and message passing between place cells.

bioRxiv · Aug 7, 2020 · PreprintAnimal Behavior & Cognition

Evaluating the relationships between the legal and illegal international wildlife trades

D. Tittensor, M. B. J. Harfoot, C. McLardy, G. Britten, K. Kecse-Nagy, B. Landry, W. Outhwaite, B. Price, P. Sinovas, J. Blanc, N. Burgess, K. Malsch

The paper analyzes the relationship between legal and illegal wildlife trade using seizure and legal trade data from the US and EU, finding a weak positive correlation in the US but not the EU.

bioRxiv · Aug 13, 2019Ecology