Jeremy E. Niven

University of Cambridge, Cambridge, England, United Kingdom 
Neuroethology, Fly photoreceptors, Locust motor system
"Jeremy Niven"
Mean distance: 13.89 (cluster 17)


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Malcolm Burrows grad student 1997-2000 University of Cambridge, UK
Mikko Juusola post-doc 2000-2003 Cambridge
Simon Laughlin post-doc 2003-2005 Cambridge


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Mikkel Roald-Arbøl grad student 2020- University of Sussex
Anne M.M. Fransen grad student 2009-2010 Cambridge
Biswa Sengupta grad student 2007-2011 Cambridge
Nikon A. Rasumov grad student 2008-2011 Cambridge
Francisco J. H Heras grad student 2011-2016
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Rossi M, Ott SR, Niven JE. (2020) Malpighamoeba infection compromises fluid secretion and P-glycoprotein detoxification in Malpighian tubules. Scientific Reports. 10: 15953
Heras FJH, Vähäsöyrinki M, Niven JE. (2018) Modulation of voltage-dependent K+ conductances in photoreceptors trades off investment in contrast gain for bandwidth. Plos Computational Biology. 14: e1006566
Heras FJ, Anderson J, Laughlin SB, et al. (2017) Voltage-dependent K(+) channels improve the energy efficiency of signalling in blowfly photoreceptors. Journal of the Royal Society, Interface. 14
Heras FJ, Laughlin SB, Niven JE. (2016) Shunt peaking in neural membranes. Journal of the Royal Society, Interface. 13
Niven JE. (2016) Neuronal energy consumption: biophysics, efficiency and evolution. Current Opinion in Neurobiology. 41: 129-135
Simões PM, Ott SR, Niven JE. (2016) Environmental Adaptation, Phenotypic Plasticity, and Associative Learning in Insects: The Desert Locust as a Case Study. Integrative and Comparative Biology
Niven JE. (2015) Neural Evolution: Marginal Gains through Soma Location. Current Biology : Cb. 25: R330-2
Sengupta B, Laughlin SB, Niven JE. (2014) Consequences of converting graded to action potentials upon neural information coding and energy efficiency. Plos Computational Biology. 10: e1003439
Simões PM, Niven JE, Ott SR. (2013) Phenotypic transformation affects associative learning in the desert locust. Current Biology : Cb. 23: 2407-12
Sengupta B, Laughlin SB, Niven JE. (2013) Balanced excitatory and inhibitory synaptic currents promote efficient coding and metabolic efficiency. Plos Computational Biology. 9: e1003263
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