Author

S.F. Hubbard

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Evolutionary Biology· 1

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Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1 Research Focus:synaptic & neural circuits· 1

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A.E.F. Burgess· 1 shared M.A.J. ChaplainiD· 1 shared P.G. Schofield· 1 shared T. Lorenzi· 1 shared

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2016-2016 · peak 1/yr

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1 shared paperEvolutionary Biology

A.E.F. Burgess

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Dynamical patterns of coexisting strategies in a hybrid discrete-continuum spatial evolutionary game model

A.E.F. Burgess, P.G. Schofield, S.F. Hubbard, M.A.J. Chaplain, T. Lorenzi

This paper introduces a hybrid model combining stochastic individual-based dynamics and reaction-diffusion equations to study coexistence of strategies in spatial evolutionary games, showing how chemotaxis and motion enable coexistence in otherwise incompatible scenarios.

bioRxiv · Oct 5, 2016 · PreprintEvolutionary Biology