Interpreting the retinal neural code for natural scenes: From computations to neurons.

Autor: Maheswaranathan N; Neuroscience Program, Stanford University School of Medicine, Stanford, CA, USA., McIntosh LT; Neuroscience Program, Stanford University School of Medicine, Stanford, CA, USA., Tanaka H; Department of Applied Physics, Stanford University, Stanford, CA, USA; Physics & Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA., Grant S; Department of Neurobiology, Stanford University, Stanford, CA, USA., Kastner DB; Neuroscience Program, Stanford University School of Medicine, Stanford, CA, USA., Melander JB; Neuroscience Program, Stanford University School of Medicine, Stanford, CA, USA., Nayebi A; Neuroscience Program, Stanford University School of Medicine, Stanford, CA, USA., Brezovec LE; Neuroscience Program, Stanford University School of Medicine, Stanford, CA, USA., Wang JH; Stanford University, Stanford, CA, USA., Ganguli S; Department of Applied Physics, Stanford University, Stanford, CA, USA., Baccus SA; Department of Neurobiology, Stanford University, Stanford, CA, USA. Electronic address: baccus@stanford.edu.

Publikováno v: Neuron [Neuron] 2023 Sep 06; Vol. 111 (17), pp. 2742-2755.e4. Date of Electronic Publication: 2023 Jul 13.

Deep Learning Models of the Retinal Response to Natural Scenes.

Autor: McIntosh LT; Neurosciences PhD Program, Stanford University., Maheswaranathan N; Neurosciences PhD Program, Stanford University., Nayebi A; Neurosciences PhD Program, Stanford University., Ganguli S; Department of Applied Physics, Stanford University.; Neurobiology Department, Stanford University., Baccus SA; Neurobiology Department, Stanford University.

Publikováno v: Advances in neural information processing systems [Adv Neural Inf Process Syst] 2016; Vol. 29, pp. 1369-1377.