LCN - Computational Neuroscience Laboratory

Latest additions

• 2017-05-01
  17:04
  W. F. Podlaski, A. Seeholzer, L. N. Groschner, G. Miesenbock and R. Ranjan et al. Mapping the function of neuronal ion channels in model and experiment, in Elife, vol. 6, p. e22152, 2017.

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• 2017-04-21
  10:52
  T. Schwalger, M. Deger and W. Gerstner. Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size, in PLoS Computational Biology, vol. 13, num. 4, p. e1005507, 2017.

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• 2017-03-27
  18:03
  F. Gerhard, M. Deger and W. Truccolo. On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs, in Plos Computational Biology, vol. 13, num. 2, p. e1005390, 2017.

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• 2017-03-27
  18:03
  F. Zenke and W. Gerstner. Hebbian plasticity requires compensatory processes on multiple timescales, in Philosophical Transactions Of The Royal Society B-Biological Sciences, vol. 372, num. 1715, p. 20160259, 2017.

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• 2017-03-27
  18:03
  T. Keck, T. Toyoizumi, L. Chen, B. Doiron and D. E. Feldman et al. Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions, in Philosophical Transactions Of The Royal Society B-Biological Sciences, vol. 372, num. 1715, p. 20160158, 2017.

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• 2017-03-20
  13:02
  S. P. Muscinelli, W. Gerstner and J. M. Brea. Exponentially long orbits in Hopfield neural networks, in Neural Computation, vol. 29, num. 2, p. 458-484, 2017.

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• 2017-02-01
  13:54
  F. Colombo, W. Gerstner (Dir.). Learning and generation of slow sequences: an application to music composition. Lemanic Neuroscience Annual Meeting 2016, Les Diablerets, Switzerland, September 2-3, 2016.

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• 2017-02-01
  13:49
  F. Colombo, W. Gerstner (Dir.). Algorithmic composition of melodies with deep recurrent neural networks. Machine Learning Machine Learning Summer School 2016, Cadiz, Spain, May 11-21, 2016.

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• 2017-01-24
  17:06
  C. S. N. Brito and W. Gerstner. Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation, in PLoS Computational Biology, vol. 12, num. 9, p. e1005070, 2016.

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• 2016-11-29
  17:07
  M. Faraji, W. Gerstner (Dir.). Learning with Surprise: Theory and Applications. Thèse EPFL, n° 7418 (2016)

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