Edinburgh Research Explorer

The optimal synapse for sparse, binary signals in the rod pathway: Neural Computation

Research output: Contribution to journalArticle

Related Edinburgh Organisations

Open Access permissions

Open

Documents

Original languageEnglish
Pages (from-to)26-44
Number of pages19
JournalNeural Computation
Volume18
Issue number1
DOIs
Publication statusPublished - Jan 2006

Abstract

The sparsity of photons at very low light levels necessitates a nonlinear synaptic transfer function between the rod photoreceptors and the rod-bipolar cells. We examine different ways to characterize the performance of the pathway: the error rate, two variants of the mutual information, and the signal-to-noise ratio. Simulation of the pathway shows that these approaches yield substantially different performance at very low light levels and that maximizing the signal-to-noise ratio yields the best performance when judged from simulated images. The results are compared to recent data.

    Research areas

  • Animals, Contrast Sensitivity, Dark Adaptation, Humans, Light, Models, Neurological, Neural Networks (Computer), Photic Stimulation, Photons, Retinal Bipolar Cells, Retinal Rod Photoreceptor Cells, Sensory Thresholds, Synapses, Synaptic Transmission, Vision, Ocular, Visual Pathways

Download statistics

No data available

ID: 3969348