Biography:Wulfram Gerstner
Wulfram Gerstner | |
|---|---|
 Wulfram Gerstner in 2018 | |
| Born | 1963 (age 60–61) |
| Citizenship | German Swiss |
| Awards | Valentino Braitenberg Award for Computational Neuroscience 2018 |
| Academic background | |
| Alma mater | University of Tübingen Ludwig Maximilian University of Munich |
| Academic work | |
| Discipline | Neuroscience |
| Sub-discipline | Computational neuroscience |
| Institutions | École Polytechnique Fédérale de Lausanne (EPFL) |
| Main interests | Dynamic models neural activity Spike-timing-dependent plasticity (STDP) |
| Website | https://www.epfl.ch/labs/lcn/ |
Wulfram Gerstner (born 1963 in Heilbronn) is a German and Swiss computational neuroscientist. His research focuses on neural spiking patterns in neural networks, and their connection to learning, spatial representation and navigation.[1] Since 2006 Gerstner has been a full professor of Computer Science and Life Sciences at École Polytechnique Fédérale de Lausanne (EPFL), where he also serves as a Director of the Laboratory of Computational Neuroscience.[2]
Career
Gerstner studied physics at the University of Tübingen and at the Ludwig Maximilian University of Munich. In 1989, he received his Master's degree with a thesis in experimental quantum optics. He then joined the theoretical biophysics group of William Bialek at University of California, Berkeley as a visiting researcher.[3] He received his PhD in theoretical physics from the Technical University of Munich in 1993 under supervision from Leo van Hemmen. He did post doctoral work at Brandeis University[4] and at Technical University of Munich,[5] where he worked in theoretical neuroscience.
In 1996 he was nominated as assistant professor and in February 2001 he was promoted as an associate professor with tenure at EPFL. In August 2006 Gerstner was appointed full professor at EPFL in both the School of Computer and Communication Sciences and the School of Life Sciences.[2][6]
Research
Gerstner's research is focused on models of spiking neurons,[7][8] spike-timing-dependent plasticity (STDP),[9] neuronal coding in single neurons and neuron populations.[10] He also investigates models of the hippocampus and their application in the spatial representation for navigation of rat-like autonomous agents.[11]
He is also one of the initiators of The Deep Artificial Composer (DAC), a deep-learning algorithm that can generate melodies by imitating a given style of music.[12]
Books
Gerstner is the author of neuroscientific text books such as Spiking Neuron Models: Single neurons, populations, plasticity (Gerstner, W. and Kistler, W.M., 2002, Cambridge University Press) that introduced the field of spiking neural networks,[8] and Neuronal dynamics: From single neurons to networks and models of cognition (Gerstner, W., Kistler, W.M., Naud, R. and Paninski, L., 2014, Cambridge University Press) on the field of computational neuroscience that was also published as an online version including exercises and video lectures.[13]
Selected publications
- Gerstner, Wulfram (2000). "Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking". Neural Computation 12 (1): 43–89. doi:10.1162/089976600300015899. PMID 10636933. http://infoscience.epfl.ch/record/97797/files/Gerstner00.pdf.
- Clopath, Claudia; Büsing, Lars; Vasilaki, Eleni; Gerstner, Wulfram (2010). "Connectivity reflects coding: A model of voltage-based STDP with homeostasis". Nature Neuroscience 13 (3): 344–352. doi:10.1038/nn.2479. PMID 20098420. http://infoscience.epfl.ch/record/144104/files/nn.2479.pdf.
- Gerstner, Wulfram; Kempter, Richard; Van Hemmen, J. Leo; Wagner, Hermann (1996). "A neuronal learning rule for sub-millisecond temporal coding". Nature 383 (6595): 76–78. doi:10.1038/383076a0. PMID 8779718. Bibcode: 1996Natur.383...76G. http://infoscience.epfl.ch/record/97773/files/Gerstner96.pdf.
- Brette, Romain; Gerstner, Wulfram (2005). "Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity". Journal of Neurophysiology 94 (5): 3637–3642. doi:10.1152/jn.00686.2005. PMID 16014787. http://infoscience.epfl.ch/record/97829/files/3637.pdf.
- Kempter, Richard; Gerstner, Wulfram; Van Hemmen, J. Leo (1999). "Hebbian learning and spiking neurons". Physical Review E 59 (4): 4498–4514. doi:10.1103/PhysRevE.59.4498. Bibcode: 1999PhRvE..59.4498K. http://infoscience.epfl.ch/record/97790/files/Kempter99.pdf.
Distinctions
Gerstner has been an editorial board member of journals such as Science,[14] The Journal of Neuroscience, Network: Computation in Neural Systems, Journal of Computational Neuroscience,[2] and Neural Computation.
He is the recipient of the Valentino Braitenberg Award for Computational Neuroscience 2018[15] and in 2010 he was awarded an ERC Advanced Grant by the European Research Council.[16] Gerstner is an elected member of the Academy of Sciences and Literature Mainz.[17]
References
- ↑ "Sechs neue Mitglieder in der Akademie der Wissenschaften und der Literatur | Mainz". https://idw-online.de/en/news720206.
- ↑ 2.0 2.1 2.2 "Wulfram Gerstner". https://people.epfl.ch/wulfram.gerstner.
- ↑ GERSTNER, Wulfram (1991). "Associative Memory in a Network of 'Biological' Neurons". Advances in Neural Information Processing Systems 3: 84–90. https://papers.nips.cc/paper/371-associative-memory-in-a-network-of-biological-neurons.pdf.
- ↑ Gerstner, Wulfram; Abbott, L.F. (1 January 1997). "Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells" (in en). Journal of Computational Neuroscience 4 (1): 79–94. doi:10.1023/A:1008820728122. ISSN 1573-6873. PMID 9046453. https://doi.org/10.1023/A:1008820728122.
- ↑ GERSTNER, Wulfram (1995). "Time structure of the activity in neural network models". Physical Review E 51 (1): 738–758. doi:10.1103/PhysRevE.51.738. PMID 9962697. Bibcode: 1995PhRvE..51..738G. https://doi.org/10.1103/PhysRevE.51.738.
- ↑ "Wulfram Gerstner CV". https://lcnwww.epfl.ch/gerstner/wg_cv.html.
- ↑ Brette, Romain; Gerstner, Wulfram (1 November 2005). "Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity". Journal of Neurophysiology 94 (5): 3637–3642. doi:10.1152/jn.00686.2005. ISSN 0022-3077. PMID 16014787. http://infoscience.epfl.ch/record/97829/files/3637.pdf.
- ↑ 8.0 8.1 Gerstner, Wulfram. (2002). Spiking neuron models : single neurons, populations, plasticity. Kistler, Werner M., 1969–. Cambridge, U.K.: Cambridge University Press. ISBN 0-511-07817-X. OCLC 57417395.
- ↑
- Gerstner, Wulfram; Kempter, Richard; van Hemmen, J. Leo; Wagner, Hermann (5 September 1996). "A neuronal learning rule for sub-millisecond temporal coding" (in en). Nature 383 (6595): 76–78. doi:10.1038/383076a0. ISSN 1476-4687. PMID 8779718. Bibcode: 1996Natur.383...76G. https://www.nature.com/articles/383076a0.
- Zenke, Friedemann; Agnes, Everton J.; Gerstner, Wulfram (21 April 2015). "Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks". Nature Communications 6 (1): 6922. doi:10.1038/ncomms7922. ISSN 2041-1723. PMID 25897632. Bibcode: 2015NatCo...6.6922Z.
- Clopath, Claudia; Büsing, Lars; Vasilaki, Eleni; Gerstner, Wulfram (24 January 2010). "Connectivity reflects coding: a model of voltage-based STDP with homeostasis". Nature Neuroscience 13 (3): 344–352. doi:10.1038/nn.2479. ISSN 1097-6256. PMID 20098420. http://infoscience.epfl.ch/record/144104/files/nn.2479.pdf.
- ↑
- Gerstner, Wulfram (1 January 2000). "Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking". Neural Computation 12 (1): 43–89. doi:10.1162/089976600300015899. ISSN 0899-7667. PMID 10636933. https://doi.org/10.1162/089976600300015899.
- Pozzorini, Christian; Naud, Richard; Mensi, Skander; Gerstner, Wulfram (July 2013). "Temporal whitening by power-law adaptation in neocortical neurons" (in en). Nature Neuroscience 16 (7): 942–948. doi:10.1038/nn.3431. ISSN 1546-1726. PMID 23749146. https://www.nature.com/articles/nn.3431.
- Jimenez Rezende, Danilo; Gerstner, Wulfram (4 April 2014). "Stochastic variational learning in recurrent spiking networks". Frontiers in Computational Neuroscience 8: 38. doi:10.3389/fncom.2014.00038. ISSN 1662-5188. PMID 24772078.
- Vogels, T. P.; Sprekeler, H.; Zenke, F.; Clopath, C.; Gerstner, W. (10 November 2011). "Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks". Science 334 (6062): 1569–1573. doi:10.1126/science.1211095. ISSN 0036-8075. PMID 22075724. Bibcode: 2011Sci...334.1569V. http://spiral.imperial.ac.uk/bitstream/10044/1/21441/2/Science_334_6062_2011.pdf.
- Hennequin, Guillaume; Vogels, Tim P.; Gerstner, Wulfram (18 June 2014). "Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements". Neuron 82 (6): 1394–1406. doi:10.1016/j.neuron.2014.04.045. ISSN 0896-6273. PMID 24945778.
- ↑ Sheynikhovich, Denis; Chavarriaga, Ricardo; Strösslin, Thomas; Arleo, Angelo; Gerstner, Wulfram (1 July 2009). "Is there a geometric module for spatial orientation? Insights from a rodent navigation model.". Psychological Review 116 (3): 540–566. doi:10.1037/a0016170. ISSN 1939-1471. PMID 19618986. http://infoscience.epfl.ch/record/140439/files/StArGe09.pdf.
- ↑
- "From Mozart to Botzart: when machines write our music" (in en). https://phys.org/news/2017-07-mozard-botzard-machines-music.html.
- "Ein Algorithmus macht Musik – Wer hat's komponiert? Maschine oder Mensch?" (in de). 25 July 2017. https://www.srf.ch/kultur/musik/wer-hat-s-komponiert-maschine-oder-mensch.
- "Ein Algorithmus lernt zu komponieren". 6 July 2017. https://www.nzz.ch/wissenschaft/technik/forschung-am-epfl-ein-algorithmus-lernt-zu-komponieren-ld.1304612.
- "Quand les algorithmes donnent le tempo" (in fr). Le Temps. 25 August 2017. ISSN 1423-3967. https://www.letemps.ch/culture/algorithmes-donnent-tempo.
- ↑
- Gerstner, Wulfram. (24 July 2014). Neuronal dynamics : from single neurons to networks and models of cognition. Kistler, Werner M., 1969–, Naud, Richard., Paninski, Liam.. Cambridge, United Kingdom. ISBN 978-1-107-06083-8. OCLC 861774542.
- "Neuronal Dynamics - a neuroscience textbook by Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski". https://neuronaldynamics.epfl.ch/.
- ↑ "Science Magazine Masterhead". 12 December 2008. https://www.science.org/toc/science/322/5908.
- ↑ "Wulfram Gerstner receives Valentino Braitenberg Award 2018 — Bernstein Netzwerk Computational Neuroscience" (in en). https://www.bernstein-network.de/en/news/nachrichten-en/wulfram-gerstner-receives-valentino-braitenberg-award-2018.
- ↑ "ERC Advanced Grant 2010". 20 January 2010. https://erc.europa.eu/sites/default/files/document/file/erc_2010_adg_results_ls.pdf.
- ↑ "Prof. Dr. Wulfram Gerstner : Akademie der Wissenschaften und der Literatur | Mainz". http://www.adwmainz.de/mitglieder/profil/prof-dr-wulfram-gerstner.html.
External links
- {{Google Scholar id}} template missing ID and not present in Wikidata.
- Web site of Laboratory of Computational Neuroscience
- Online version of the textbook Neuronal dynamics: From single neurons to networks and models of cognition
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