Title :
How efficiently a ganglion cell codes the visual signal
Author :
Smith, R.G. ; Dhingra, N.K. ; Kao, Y.H. ; Sterling, P.
Author_Institution :
Dept. of Neurosci., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
The retina\´s visual message is transmitted to the brain by ganglion cells that integrate noisy synaptic inputs to create a spike train. We asked how efficiently the retinal ganglion cell spike generator creates the spike train message. Intracellular and extracellular recordings were made from in vitro guinea pig retina, in response to a spot of light flashed over the receptive field center. Responses were analyzed with an "ideal observer, " a program that discriminated between two contrasts based on an optimal decision rule. Spike trains from ganglion cells had thresholds as low as 1% contrast, but thresholds for the corresponding graded potentials were lower by a factor of 2. Using a computational model of the ganglion cell, we asked what factors in the spike generator mechanism are responsible for the spike train\´s loss in performance. The model included dendritic/axonal morphology, noisy synaptic inputs and membrane channels. Adaptation of spike rate was provided by K(Ca) channels which were activated by Ca2+ flux during spikes. When K(Ca) channels were included, they controlled the duration of the inter-spike interval and thus set the level of noise in the spike train. These results imply that the spike generator adds noise to the spike train signal.
Keywords :
bioelectric potentials; biomembrane transport; eye; neurophysiology; physiological models; vision; Ca; Ca2+ flux; K; K(Ca) channels; axonal morphology; brain; computational model; contrasts; dendritic morphology; extracellular recordings; flashed light; ganglion cell; graded potentials; ideal observer; in vitro guinea pig retina; inter-spike interval; intracellular recordings; membrane channels; noisy synaptic inputs; optimal decision rule; performance loss; receptive field center; retina visual message; retinal ganglion cell spike generator; spike train; thresholds; visual signal; Biomembranes; Computational modeling; Extracellular; In vitro; Morphology; Noise generators; Noise level; Performance loss; Retina; Signal generators;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1019022