Now showing items 1-3 of 3

    • Bayesian Model of Dynamic Image Stabilization in the Visual System 

      Burak, Yoram; Rokni, Uri; Meister, Markus; Sompolinsky, Haim I (Proceedings of the National Academy of Sciences, 2010)
      Humans can resolve the fine details of visual stimuli although the image projected on the retina is constantly drifting relative to the photoreceptor array. Here we demonstrate that the brain must take this drift into ...
    • Computing Complex Visual Features with Retinal Spike Times 

      Gütig, Robert; Gollisch, Tim; Sompolinsky, Haim I; Meister, Markus (Public Library of Science, 2013)
      Neurons in sensory systems can represent information not only by their firing rate, but also by the precise timing of individual spikes. For example, certain retinal ganglion cells, first identified in the salamander, ...
    • Time-Warp–Invariant Neuronal Processing 

      Gütig, Robert; Sompolinsky, Haim I (Public Library of Science, 2009)
      Fluctuations in the temporal durations of sensory signals constitute a major source of variability within natural stimulus ensembles. The neuronal mechanisms through which sensory systems can stabilize perception against ...