Literature DB >> 23864383

Shifted encoding strategy in retinal luminance adaptation: from firing rate to neural correlation.

Lei Xiao1, Mingsha Zhang, Dajun Xing, Pei-Ji Liang, Si Wu.   

Abstract

Neuronal responses to prolonged stimulation attenuate over time. Here, we ask a fundamental question: is adaptation a simple process for the neural system during which sustained input is ignored, or is it actually part of a strategy for the neural system to adjust its encoding properties dynamically? After simultaneously recording the activities of a group of bullfrog's retinal ganglion cells (dimming detectors) in response to sustained dimming stimulation, we applied a combination of information analysis approaches to explore the time-dependent nature of information encoding during the adaptation. We found that at the early stage of the adaptation, the stimulus information was mainly encoded in firing rates, whereas at the late stage of the adaptation, it was more encoded in neural correlations. Such a transition in encoding properties is not a simple consequence of the attenuation of neuronal firing rates, but rather involves an active change in the neural correlation strengths, suggesting that it is a strategy adopted by the neural system for functional purposes. Our results reveal that in encoding a prolonged stimulation, the neural system may utilize concerted, but less active, firings of neurons to encode information.

Entities:  

Keywords:  discrimination; information coding; luminance adaptation; neural correlation; retinal ganglion cell

Mesh:

Year:  2013        PMID: 23864383     DOI: 10.1152/jn.00221.2013

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


  8 in total

1.  Response dynamics of bullfrog ON-OFF RGCs to different stimulus durations.

Authors:  Lei Xiao; Pu-Ming Zhang; Si Wu; Pei-Ji Liang
Journal:  J Comput Neurosci       Date:  2014-01-04       Impact factor: 1.621

2.  Nonlinear dendritic integration of electrical and chemical synaptic inputs drives fine-scale correlations.

Authors:  Stuart Trenholm; Amanda J McLaughlin; David J Schwab; Maxwell H Turner; Robert G Smith; Fred Rieke; Gautam B Awatramani
Journal:  Nat Neurosci       Date:  2014-10-26       Impact factor: 24.884

3.  Coding Properties of Mouse Retinal Ganglion Cells with Dual-Peak Patterns with Respect to Stimulus Intervals.

Authors:  Ru-Jia Yan; Hai-Qing Gong; Pu-Ming Zhang; Pei-Ji Liang
Journal:  Front Comput Neurosci       Date:  2016-07-19       Impact factor: 2.380

4.  Coding Properties of Three Intrinsically Distinct Retinal Ganglion Cells under Periodic Stimuli: A Computational Study.

Authors:  Lei Wang; Yi-Hong Qiu; Yanjun Zeng
Journal:  Front Comput Neurosci       Date:  2016-09-23       Impact factor: 2.380

5.  Characterization of Predictive Behavior of a Retina by Mutual Information.

Authors:  Kevin Sean Chen; Chun-Chung Chen; C K Chan
Journal:  Front Comput Neurosci       Date:  2017-07-20       Impact factor: 2.380

6.  Effects of dopamine on response properties of ON-OFF RGCs in encoding stimulus durations.

Authors:  Lei Xiao; Pu-Ming Zhang; Hai-Qing Gong; Pei-Ji Liang
Journal:  Front Neural Circuits       Date:  2014-06-30       Impact factor: 3.492

7.  Dynamic Information Encoding With Dynamic Synapses in Neural Adaptation.

Authors:  Luozheng Li; Yuanyuan Mi; Wenhao Zhang; Da-Hui Wang; Si Wu
Journal:  Front Comput Neurosci       Date:  2018-03-27       Impact factor: 2.380

8.  Clinical Impact of Spontaneous Hyperactivity in Degenerating Retinas: Significance for Diagnosis, Symptoms, and Treatment.

Authors:  Steven F Stasheff
Journal:  Front Cell Neurosci       Date:  2018-09-10       Impact factor: 5.505

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.