Literature DB >> 2830371

Signal transmission in the catfish retina. V. Sensitivity and circuit.

H M Sakai1, K Naka.   

Abstract

1. We analyzed the light-evoked responses of retinal neurons by means of a white-noise technique. Horizontal and bipolar cells produced a modulation response that was linearly related to a modulation of the mean luminance of a large field of light. The first-order kernels were capable of reproducing the cells' modulation response with a fair degree of accuracy. The amplitude as well as the waveform of the kernels changed with the change in the mean luminance. This is a parametric change and is a form of field adaptation. As the time constant of the parametric change was much longer than that of the modulation response (memory), neurons were assumed to be at a dynamic steady state at a given mean luminance. 2. With the presence of a steady annular illumination, the first-order kernel derived from stimulation with a small spot of light became faster in peak response time and larger in amplitude. For horizontal-cell somas and bipolar cells, the surround also linearized their modulation response. This surround enhancement has been seen in all the cone-driven retinal cells except the receptor and horizontal cell axon, in which a steady surround decreased the amplitude of the spot-evoked kernel but shortened the peak response time. 3. A change in the modulation depth did not affect either the amplitude or the wave-form of the first-order kernels from the horizontal and bipolar cells. In the amacrine and ganglion cells, on the other hand, the amplitude of kernels was related inversely to the depth of modulation. These cells were more sensitive to the modulation of a small modulation depth. 4. A static nonlinearity appeared when signals were transmitted to the amacrine cells. The nonlinearity was first produced in the type-C amacrine cells by a process, which could be modeled by squaring the bipolar cell response. A gamut of more complex second-order nonlinearities found in type-N amacrine cells could be modeled by a band-pass filtering of the type-C cell response. Linear components in the bipolar cells and nonlinear components in the amacrine cells are encoded into spike trains in the ganglion cells. Thus, under our simple stimulus regimen, the ganglion cells transformed the results of the preganglionic signal processing into a spike train without much modification. 5. We propose a tentative diagram of the signal flow in the cone-driven catfish retinal neurons based on this and previous studies.(ABSTRACT TRUNCATED AT 400 WORDS)

Entities:  

Mesh:

Year:  1987        PMID: 2830371     DOI: 10.1152/jn.1987.58.6.1329

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  26 in total

1.  Bipolar cells contribute to nonlinear spatial summation in the brisk-transient (Y) ganglion cell in mammalian retina.

Authors:  J B Demb; K Zaghloul; L Haarsma; P Sterling
Journal:  J Neurosci       Date:  2001-10-01       Impact factor: 6.167

2.  Dynamics of visual receptive fields in the macaque frontal eye field.

Authors:  J Patrick Mayo; Amie R DiTomasso; Marc A Sommer; Matthew A Smith
Journal:  J Neurophysiol       Date:  2015-09-16       Impact factor: 2.714

3.  Identification of complex-cell intensive nonlinearities in a cascade model of cat visual cortex.

Authors:  R C Emerson; M J Korenberg; M C Citron
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

Review 4.  Synaptic transmission at retinal ribbon synapses.

Authors:  Ruth Heidelberger; Wallace B Thoreson; Paul Witkovsky
Journal:  Prog Retin Eye Res       Date:  2005-11       Impact factor: 21.198

5.  The temporal structure of transient ON/OFF ganglion cell responses and its relation to intra-retinal processing.

Authors:  Andreas Thiel; Martin Greschner; Josef Ammermüller
Journal:  J Comput Neurosci       Date:  2006-05-26       Impact factor: 1.621

6.  White noise analysis of graded response in a wind-sensitive, nonspiking interneuron of the cockroach.

Authors:  Y Kondoh; H Morishita; T Arima; J Okuma; Y Hasegawa
Journal:  J Comp Physiol A       Date:  1991-04       Impact factor: 1.836

7.  Synchronized firing among retinal ganglion cells signals motion reversal.

Authors:  Greg Schwartz; Sam Taylor; Clark Fisher; Rob Harris; Michael J Berry
Journal:  Neuron       Date:  2007-09-20       Impact factor: 17.173

8.  Wiener analysis of nonlinear feedback in sensory systems.

Authors:  V Z Marmarelis
Journal:  Ann Biomed Eng       Date:  1991       Impact factor: 3.934

9.  Filter characteristics of cercal afferents in the cockroach.

Authors:  Y Kondoh; T Arima; J Okuma; Y Hasegawa
Journal:  J Comp Physiol A       Date:  1991-12       Impact factor: 1.836

10.  A retinal circuit model accounting for wide-field amacrine cells.

Authors:  Murat Sağlam; Yuki Hayashida; Nobuki Murayama
Journal:  Cogn Neurodyn       Date:  2008-09-24       Impact factor: 5.082

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.