Martin Greschner

Affiliations: 
The Salk Institute 
Area:
retinal neurophysiology
Website:
http://snl.salk.edu/~greschner
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"Martin Greschner"
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Publications

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Puller C, Duda S, Lotfi E, et al. (2020) Electrical coupling of heterotypic ganglion cells in the mammalian retina. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Ravi S, Ahn D, Greschner M, et al. (2018) Pathway-specific asymmetries between ON and OFF visual signals. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Ströh S, Puller C, Swirski S, et al. (2018) Eliminating Glutamatergic Input onto Horizontal Cells Changes the Dynamic Range and Receptive Field Organization of Mouse Retinal Ganglion Cells. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Greschner M, Heitman AK, Field GD, et al. (2016) Identification of a Retinal Circuit for Recurrent Suppression Using Indirect Electrical Imaging. Current Biology : Cb
Freeman J, Field GD, Li PH, et al. (2015) Mapping nonlinear receptive field structure in primate retina at single cone resolution. Elife. 4
Li PH, Gauthier JL, Schiff M, et al. (2015) Anatomical identification of extracellularly recorded cells in large-scale multielectrode recordings. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 4663-75
Greschner M, Field GD, Li PH, et al. (2014) A polyaxonal amacrine cell population in the primate retina. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 3597-606
Li PH, Field GD, Greschner M, et al. (2014) Retinal representation of the elementary visual signal. Neuron. 81: 130-9
Sadeghi K, Gauthier JL, Field GD, et al. (2013) Monte Carlo methods for localization of cones given multielectrode retinal ganglion cell recordings. Network (Bristol, England). 24: 27-51
Doi E, Gauthier JL, Field GD, et al. (2012) Efficient coding of spatial information in the primate retina. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 16256-64
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