Volker Steuber

Affiliations: 
Science and Technology Research Institute University of Hertfordshire 
Area:
computational neuroscience, systems biology, biocomputation
Website:
http://homepages.stca.herts.ac.uk/~comqvs/index.html
Google:
"Volker Steuber"
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Publications

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Stotz HU, de Oliveira Almeida R, Davey N, et al. (2017) Review of combinations of experimental and computational techniques to identifyand understand genes involved in innate immunity and effector-triggered defence. Methods (San Diego, Calif.)
Safaryan K, Maex R, Davey N, et al. (2017) Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise. Scientific Reports. 7: 46550
Ovsepian SV, LeBerre M, Steuber V, et al. (2016) Distinctive role of KV1.1 subunit in the biology and functions of low threshold K(+) channels with implications for neurological disease. Pharmacology & Therapeutics
Kros L, Eelkman Rooda OH, Spanke JK, et al. (2015) Cerebellar output controls generalized spike-and-wave discharge occurrence. Annals of Neurology. 77: 1027-49
de Sousa G, Maex R, Adams R, et al. (2015) Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances. Journal of Computational Neuroscience. 38: 221-34
Pinto TM, Schilstra MJ, Steuber V, et al. (2015) Unravelling how βCaMKII controls the direction of plasticity at parallel fibre-Purkinje cell synapses Aip Conference Proceedings. 1702
Steuber V. (2015) Modeling the Generation of Cerebellar Nuclear Spike Output The Neuronal Codes of the Cerebellum. 117-133
Maex R, Steuber V. (2013) An integrator circuit in cerebellar cortex. The European Journal of Neuroscience. 38: 2917-32
Ovsepian SV, Steuber V, Le Berre M, et al. (2013) A defined heteromeric KV1 channel stabilizes the intrinsic pacemaking and regulates the output of deep cerebellar nuclear neurons to thalamic targets. The Journal of Physiology. 591: 1771-91
Steuber V, Jaeger D. (2013) Modeling the generation of output by the cerebellar nuclei. Neural Networks : the Official Journal of the International Neural Network Society. 47: 112-9
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