Newland, Philip - University of Southampton - Discipline of Biological Sciences

个人简介

Career history 1997-present: Professor of Neuroscience. University of Southampton, UK. 1988: Senior Research Associate. Cambridge University, UK. Hokkaido University, Japan. Academic qualifications PhD in Neuroethology. University of Glasgow, UK. BSc Zoology. University of Glasgow, UK. Graduated in Zoology from the University of Glasgow where he also studied for his PhD in Neuroethology. Then worked at Hokkaido University in Japan on the neural basis of crayfish equilibrium behaviour. Returned to England in 1988 as a senior research associate at Cambridge University analysing the integrative properties of neuronal circuits in arthropods before joining Southampton in 1997.

研究领域

In the Insect Neuroscience lab we use insects to address issues of fundamental importance for all animals. Within this broad framework, research in the lab is varied and multidisciplinary and utilizes different invertebrate model systems to understand particular features of the organization of neuronal networks and how different types of constituent interneurones contribute to the processing of different sensory signals. Our work links with three main University research themes; neuroscience, the life science interface and health and the environment. The model insect we use depends on the specific question being addressed, but includes locusts, the fruit fly, cockroaches and ants.

近期论文

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Exposure to extremely low frequency electromagnetic fields alters the behaviour, physiology and stress protein levels of desert locusts - Wyszkowska, Joanna, Shepherd, Sebastian, Sharkh, Suleiman, Jackson, Christopher and Newland, Philip Published:2016Publication:Scientific ReportsVolume:6, (36413)Page Range:1-9doi:10.1038/srep36413 Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron - Costalago Meruelo, Alicia, Simpson, David, Veres, Sandor and Newland, Philip Published:2015Publication:Neural NetworksVolume:75Page Range:56-65doi:10.1016/j.neunet.2015.12.002 Exposure to static electric fields leads to changes in biogenic amine levels in the brains of Drosophila - Newland, Philip, Al Ghamdi, Mesfer, Sharkh, Suleiman, Aonuma, Hitoshi and Jackson, Chris Published:2015Publication:Royal Society Proceedings BVolume:282Page Range:1-23doi:10.1098/rspb.2015.1198 Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network - Endo, Wagner, Santos, Fernando P., Simpson, David, Maciel, Carlos D. and Newland, Philip L. Published:2015Publication:Journal of Computational NeuroscienceVolume:38, (2)Page Range:427-438doi:10.1007/s10827-015-0548-6PMID:25643986