Now showing items 1-5 of 5

    • Efficient coding of spatial information in the primate retina. 

      Field, Greg; Doi, Eizaburo; Gauthier, Jeffrey L; Shlens, Jonathon; Sher, Alexander; Greschner, Martin; Machado, Timothy A; ... (14 authors) (The Journal of neuroscience : the official journal of the Society for Neuroscience, 2012-11)
      Sensory neurons have been hypothesized to efficiently encode signals from the natural environment subject to resource constraints. The predictions of this efficient coding hypothesis regarding the spatial filtering properties ...
    • Functional connectivity in the retina at the resolution of photoreceptors. 

      Field, Greg; Gauthier, Jeffrey L; Sher, Alexander; Greschner, Martin; Machado, Timothy A; Jepson, Lauren H; Shlens, Jonathon; ... (13 authors) (Nature, 2010-10)
      To understand a neural circuit requires knowledge of its connectivity. Here we report measurements of functional connectivity between the input and ouput layers of the macaque retina at single-cell resolution and the implications ...
    • Mapping nonlinear receptive field structure in primate retina at single cone resolution. 

      Field, Greg; Freeman, Jeremy; Li, Peter H; Greschner, Martin; Gunning, Deborah E; Mathieson, Keith; Sher, Alexander; ... (11 authors) (eLife, 2015-10-30)
      The function of a neural circuit is shaped by the computations performed by its interneurons, which in many cases are not easily accessible to experimental investigation. Here, we elucidate the transformation of visual signals ...
    • Neuroprosthetic Decoder Training as Imitation Learning. 

      Carlson, D; Cunningham, JP; Merel, J; Paninski, Liam (PLoS Comput Biol, 2018-02-02)
      Neuroprosthetic brain-computer interfaces function via an algorithm which decodes neural activity of the user into movements of an end effector, such as a cursor or robotic arm. In practice, the decoder is often learned ...
    • Partition functions from rao-blackwellized tempered sampling 

      Carlson, DE; Pakman, A; Paninski, Liam; Stinson, P (33rd International Conference on Machine Learning, ICML 2016, 2016-01-01)
      © 2016 by the author(s). Partition functions of probability distributions are important quantities for model evaluation and comparisons. We present a new method to compute partition functions of complex and multi-modal ...