Michael Hausser
- FRS (2015)[1]
- FMedSci (2012)[2]
- Neuroscience
- Dendrites
- Neural circuits
- Behavior
- Neural computation[3]
- University College London
- Max Planck Institute for Medical Research
- École Normale Supérieure
Michael A. Häusser FRS[1] FMedSci[2] is professor of Neuroscience, based in the Wolfson Institute for Biomedical Research at University College London (UCL).[5][6][7]
Education
Hausser was educated at the University of Oxford where he was awarded a DPhil in 1992[4] for research supervised by James Julian Bennett Jack[4] on neurons in the substantia nigra.[8]
Research
Häusser's research interests are in neuroscience, dendrites, biological neural networks and artificial neural networks.[3][9][10][11][12]
Awards and honours
Häusser was elected a Fellow of the Royal Society (FRS) in 2015. His certificate of election reads:
Michael Häusser has made fundamental contributions to our understanding of how the complex dendritic structures of nerve cells contribute to the functional computations that occur in the mammalian brain. He has achieved this by the introduction and exploitation of advanced techniques, coupled with careful quantitative analysis and modelling of the experimental results. His most distinctive contribution has been to illuminate how non-linear mechanisms in neuronal dendrites contribute to the complex behaviour and plasticity of nerve networks in the brain.[1]
Häusser was also elected a Fellow of the Academy of Medical Sciences (FMedSci) in 2012.[2]
![](http://upload.wikimedia.org/wikipedia/commons/thumb/7/7b/Professor_Michael_A._H%C3%A4usser_FRS.jpg/220px-Professor_Michael_A._H%C3%A4usser_FRS.jpg)
References
- ^ a b c "Professor Michael Häusser FMedSci FRS". London: The Royal Society. Archived from the original on 2 May 2015.
- ^ a b c "Professor Michael Hausser FRS FMedSci". London: The Academy of Medical Sciences. Archived from the original on 12 May 2015.
- ^ a b Michael Hausser publications indexed by Google Scholar
- ^ a b c Häusser, Michael (1992). Intrinsic properties and sympatic inhibition of substantia nigra neurones (DPhil thesis). University of Oxford. OCLC 62252234.
- ^ Michael Häusser's publications indexed by the Scopus bibliographic database. (subscription required)
- ^ Häusser, M; Clark, B. A. (1997). "Tonic synaptic inhibition modulates neuronal output pattern and spatiotemporal synaptic integration". Neuron. 19 (3): 665–78. doi:10.1016/s0896-6273(00)80379-7. PMID 9331356.
- ^ "Neural Computation Lab". Archived from the original on 29 December 2013.
- ^ Yung, W. H.; Häusser, M. A.; Jack, J. J. (1991). "Electrophysiology of dopaminergic and non-dopaminergic neurones of the guinea-pig substantia nigra pars compacta in vitro". The Journal of Physiology. 436: 643–67. doi:10.1113/jphysiol.1991.sp018571. PMC 1181526. PMID 2061849.
- ^ Häusser, M; Spruston, N; Stuart, G. J. (2000). "Diversity and dynamics of dendritic signaling". Science. 290 (5492): 739–44. Bibcode:2000Sci...290..739H. doi:10.1126/science.290.5492.739. PMID 11052929.
- ^ Stuart, G.; Spruston, N.; Sakmann, B.; Häusser, M. (1997). "Action potential initiation and backpropagation in neurons of the mammalian CNS". Trends in Neurosciences. 20 (3): 125–31. doi:10.1016/S0166-2236(96)10075-8. PMID 9061867. S2CID 889625.
- ^ London, M.; Häusser, M. (2005). "Dendritic Computation". Annual Review of Neuroscience. 28: 503–532. doi:10.1146/annurev.neuro.28.061604.135703. PMID 16033324.
- ^ Chadderton, P; Margrie, T. W.; Häusser, M (2004). "Integration of quanta in cerebellar granule cells during sensory processing". Nature. 428 (6985): 856–60. Bibcode:2004Natur.428..856C. doi:10.1038/nature02442. PMID 15103377. S2CID 98598.
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