Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Number of items: 3.

Dombrowski, Patricia A. and Maia, Tiago V. and Boschen, Suelen L. and Bortolanza, Mariza and Wendler, Etieli and Schwarting, Rainer K. W. and Brandao, Marcus Lira and Winn, Philip and Blaha, Charles D. and Da Cunha, Claudio (2013) Evidence that conditioned avoidance responses are reinforced by positive prediction errors signaled by tonic striatal dopamine. Behavioural Brain Research, 241. pp. 112-119. ISSN 1872-7549

Harvey, Alan L and Young, Louise C and Kornisiuk, Edgar and Snitcofsky, Marina and Colettis, Natalia and Blanco, Carlos and Jerusalinsky, Diana and Jamieson, Andrew G and Hartley, Richard C and Stone, Trevor W (2012) A novel dihydro-pyrazolo(3,4d)(1,2,4)triazolo(1,5a)pyrimidin-4-one (AJ23) is an antagonist at adenosine A(1) receptors and enhances consolidation of step-down avoidance. Behavioural Brain Research, 234 (2). pp. 184-191. ISSN 1872-7549

Kornisiuk, Edgar and Snitcofsky, Marina and Blanco, Carlos and Harvey, Alan L and Stone, Trevor W and Jerusalinsky, Diana (2011) Memory impairment in rats by hippocampal administration of the serine protease subtilisin. Behavioural Brain Research, 219 (1). pp. 63-67. ISSN 1872-7549

This list was generated on Tue Jul 14 04:23:47 2020 BST.