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Ten selected Publications

• Aubret A, Ernst MR, Teulière C, Triesch J (2023).
  Time to augment self-supervised visual representation learning.
  International Conference on Learning Representations  (ICLR).
  URL: https://openreview.net/pdf?id=o8xdgmwCP8l
  
  
• Eckmann, S., Klimmasch, L., Shi, B. E., & Triesch, J. (2020).
  Active efficient coding explains the development of binocular vision and its failure in amblyopia.
  Proceedings of the National Academy of Sciences, 117(11), 6156-6162.
  DOI: 10.1073/pnas.1908100117
  
  
• Klos C, Miner D, Triesch J (2018).
  Bridging structure and function: A model of sequence learning and prediction in primary visual cortex.
  PLoS  Computational  Biology, 14(6), e1006187.
  DOI: 10.1371/journal.pcbi.1006187
  
  
• Triesch, J., Vo, A. D., & Hafner, A. S. (2018).
  Competition for synaptic building blocks shapes synaptic plasticity.
  Elife, 7, e37836.
  DOI: 10.7554/eLife.37836.001
  
  
• Rusu, C. V., Murakami, M., Ziemann, U., & Triesch, J. (2014).
  A model of TMS-induced I-waves in motor cortex.
  Brain Stimulation, 7(3), 401-414.
  DOI: 10.1016/j.brs.2014.02.009
  
  
• Scocchia L, Valsecchi M, Triesch J (2014).
  Top-down influences on ambiguous perception: the role of stable and transient states of the observer.
  Frontiers in Human Neuroscience, 8.
  DOI: 10.3389/fnhum.2014.00979
  
  
• Savin, C., Joshi, P., & Triesch, J. (2010).
  Independent component analysis in spiking neurons.
  PLoS Comput Biol, 6(4), e1000757.
  DOI: 10.1371/journal.pcbi.1000757
  
  
• Triesch, J. (2007).
  Synergies between intrinsic and synaptic plasticity Mechanisms.
  Neural Computation, 19(4), 885-909.
  DOI: 10.1162/neco.2007.19.4.885
  
  
• Triesch, J., Teuscher, C., Deák, G.O., & Carlson, E. (2006)
  Gaze following: why (not) learn it?
  Developmental science, 9(2), 125-147.
  DOI: 10.1111/j.1467-7687.2006.00470.x
  
  
• Triesch, J., Ballard, D. H., Hayhoe, M. M., & Sullivan, B. T. (2003).
  What you see is what you need.
  Journal of vision, 3(1), 9-9.
  DOI: 10.1167/3.1.9