Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration

A central goal in sensory neuroscience is to understand the neuronal signal processing involved in the encoding of natural stimuli. A critical step towards this goal is the development of successful computational encoding models. For ganglion cells in the vertebrate retina, the development of satisf...

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Veröffentlicht in:	PLoS computational biology 2022-03, Vol.18 (3), p.e1009925-e1009925
Hauptverfasser:	Liu, Jian K, Karamanlis, Dimokratis, Gollisch, Tim
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Biology and Life Sciences Cell culture Computational neuroscience Engineering and Technology Light Light intensity Luminous intensity Medicine and Health Sciences Mice Nervous system Neural circuitry Neurons Noise Nonlinearity Photic Stimulation - methods Physical Sciences Receptive field Retina Retina - physiology Retinal ganglion cells Retinal Ganglion Cells - physiology Sensory integration Signal processing Social Sciences Urodela Vertebrates Visual pathways Visual stimuli
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