Literature DB >> 19279241

Loss of sensitivity in an analog neural circuit.

Bart G Borghuis1, Peter Sterling, Robert G Smith.   

Abstract

A low-contrast spot that activates just one ganglion cell in the retina is detected in the spike train of the cell with about the same sensitivity as it is detected behaviorally. This is consistent with Barlow's proposal that the ganglion cell and later stages of spiking neurons transfer information essentially without loss. Yet, when losses of sensitivity by all preneural factors are accounted for, predicted sensitivity near threshold is considerably greater than behavioral sensitivity, implying that somewhere in the brain information is lost. We hypothesized that the losses occur mainly in the retina, where graded signals are processed by analog circuits that transfer information at high rates and low metabolic cost. To test this, we constructed a model that included all preneural losses for an in vitro mammalian retina, and evaluated the model to predict sensitivity at the cone output. Recording graded responses postsynaptic to the cones (from the type A horizontal cell) and comparing to predicted preneural sensitivity, we found substantial loss of sensitivity (4.2-fold) across the first visual synapse. Recording spike responses from brisk-transient ganglion cells stimulated with the same spot, we found a similar loss (3.5-fold) across the second synapse. The total retinal loss approximated the known overall loss, supporting the hypothesis that from stimulus to perception, most loss near threshold is retinal.

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Mesh:

Year:  2009        PMID: 19279241      PMCID: PMC2818728          DOI: 10.1523/JNEUROSCI.5071-08.2009

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  74 in total

1.  Contrast threshold of a brisk-transient ganglion cell in vitro.

Authors:  Narender K Dhingra; Yen-Hong Kao; Peter Sterling; Robert G Smith
Journal:  J Neurophysiol       Date:  2003-01-22       Impact factor: 2.714

2.  On the relation between the photoactivation energy and the absorbance spectrum of visual pigments.

Authors:  Petri Ala-Laurila; Johan Pahlberg; Ari Koskelainen; Kristian Donner
Journal:  Vision Res       Date:  2004       Impact factor: 1.886

3.  How retinal ganglion cells prevent synaptic noise from reaching the spike output.

Authors:  Jonathan B Demb; Peter Sterling; Michael A Freed
Journal:  J Neurophysiol       Date:  2004-06-02       Impact factor: 2.714

4.  Encoding light intensity by the cone photoreceptor synapse.

Authors:  Sue-Yeon Choi; Bart G Borghuis; Bart Borghuis; Ruth Rea; Edwin S Levitan; Peter Sterling; Richard H Kramer
Journal:  Neuron       Date:  2005-11-23       Impact factor: 17.173

5.  Discrimination performance of single neurons: rate and temporal-pattern information.

Authors:  W S Geisler; D G Albrecht; R J Salvi; S S Saunders
Journal:  J Neurophysiol       Date:  1991-07       Impact factor: 2.714

6.  Light adaptation in cat retinal rods.

Authors:  T Tamura; K Nakatani; K W Yau
Journal:  Science       Date:  1989-08-18       Impact factor: 47.728

7.  The ON-alpha ganglion cell of the cat retina and its presynaptic cell types.

Authors:  M A Freed; P Sterling
Journal:  J Neurosci       Date:  1988-07       Impact factor: 6.167

8.  Single units and sensation: a neuron doctrine for perceptual psychology?

Authors:  H B Barlow
Journal:  Perception       Date:  1972       Impact factor: 1.490

9.  The photosensitivities of visual pigments in the presence of hydroxylamine.

Authors:  H J Dartnall
Journal:  Vision Res       Date:  1968-04       Impact factor: 1.886

10.  Two different visual pigments in one retinal cone cell.

Authors:  P Röhlich; T van Veen; A Szél
Journal:  Neuron       Date:  1994-11       Impact factor: 17.173

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  19 in total

1.  The absolute threshold of cone vision.

Authors:  Darren Koenig; Heidi Hofer
Journal:  J Vis       Date:  2011-01-26       Impact factor: 2.240

2.  Impact of neural noise on a sensory-motor pathway signaling impending collision.

Authors:  Peter W Jones; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2011-11-23       Impact factor: 2.714

3.  Retina is structured to process an excess of darkness in natural scenes.

Authors:  Charles P Ratliff; Bart G Borghuis; Yen-Hong Kao; Peter Sterling; Vijay Balasubramanian
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-20       Impact factor: 11.205

4.  Synaptic noise is an information bottleneck in the inner retina during dynamic visual stimulation.

Authors:  Michael A Freed; Zhiyin Liang
Journal:  J Physiol       Date:  2013-12-02       Impact factor: 5.182

5.  Independent control of reciprocal and lateral inhibition at the axon terminal of retinal bipolar cells.

Authors:  Masashi Tanaka; Masao Tachibana
Journal:  J Physiol       Date:  2013-05-20       Impact factor: 5.182

6.  Reliability and frequency response of excitatory signals transmitted to different types of retinal ganglion cell.

Authors:  Michael A Freed; Zhiyin Liang
Journal:  J Neurophysiol       Date:  2010-01-20       Impact factor: 2.714

Review 7.  Receptive fields and functional architecture in the retina.

Authors:  Vijay Balasubramanian; Peter Sterling
Journal:  J Physiol       Date:  2009-06-15       Impact factor: 5.182

Review 8.  Trigger features and excitation in the retina.

Authors:  W R Taylor; R G Smith
Journal:  Curr Opin Neurobiol       Date:  2011-08-05       Impact factor: 6.627

9.  Maximizing contrast resolution in the outer retina of mammals.

Authors:  Mikhail Y Lipin; Robert G Smith; W Rowland Taylor
Journal:  Biol Cybern       Date:  2010-04-02       Impact factor: 2.086

10.  Ideal observer analysis of signal quality in retinal circuits.

Authors:  Robert G Smith; Narender K Dhingra
Journal:  Prog Retin Eye Res       Date:  2009-05-13       Impact factor: 21.198

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