Rapid Neural Coding in the Retina with Relative Spike Latencies

@article{Gollisch2008RapidNC,
  title={Rapid Neural Coding in the Retina with Relative Spike Latencies},
  author={Tim Gollisch and Markus Meister},
  journal={Science},
  year={2008},
  volume={319},
  pages={1108 - 1111}
}
Natural vision is a highly dynamic process. Frequent body, head, and eye movements constantly bring new images onto the retina for brief periods, challenging our understanding of the neural code for vision. We report that certain retinal ganglion cells encode the spatial structure of a briefly presented image in the relative timing of their first spikes. This code is found to be largely invariant to stimulus contrast and robust to noisy fluctuations in response latencies. Mechanistically, the… 
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588 Citations

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A cascade model of the retina is presented including linear non-separable spatiotemporal filter, static non-linear rectification, sampling and a Poisson spike generation to help understand the image processing and encoding mechanism in the retina.

[Information coding in retinal ganglion cells].

Relevant issues about dynamical adjustment of coding strategies of retinal ganglion cells in response to different visual stimulation, as well as physiological property and function of adaptation are discussed.

Computing Complex Visual Features with Retinal Spike Times

This work feeds experimentally observed spike trains from a population of retinal ganglion cells to an integrate-and-fire model of post-synaptic integration, and finds that this model neuron can perform complex visual detection tasks in a single synaptic stage that would require multiple stages for neurons operating instead on neural spike counts.

Rapid neural coding in the mouse retina with the first wave of spikes

This work investigated the possible effects of an a posteriori processing stage on the neural code on mouse retinas using a 60-channel MEA in response to gratings of varying phase, spatial frequency and the coding efficiency of the FWS was estimated.

Simulation of multiple functions of the retinal circuitry: a computational and a hardware model

Not only center-surround antagonistic receptivefields of BCs and GC, but also complex visual functions such as "object motion segregation from a backgroundmotion" and "rapid neural coding" are presented.

The wave of first spikes provides robust spatial cues for retinal information processing

It is found that the shape of the wave of spikes (WFS) successfully encodes for spatial cues and is more robust to the spontaneous ring than the absolute latencies are, suggesting that even at the level of the retina, the WFS provides a reliable strategy to encode spatial cues.

Retinal Circuit Emulator With Spatiotemporal Spike Outputs at Millisecond Resolution in Response to Visual Events

A compact hardware system comprising an analog silicon retina and a field-programmable gate array module and a retinal circuit model that emulates spiking of ganglion cells was implemented, and the emulator can mimic the event-driven spike outputs of biological retinas.

A Retino-Morphic Hardware System Simulating the Graded and Action Potentials in Retinal Neuronal Layers

By implementing the Izhikevich model so that spatial spike distributions in a ganglion-cell layer can be simulated with millisecond-order timing precision, this system is useful for examining the retinal spike encoding of natural visual scenes.

Axonal Transmission in the Retina Introduces a Small Dispersion of Relative Timing in the Ganglion Cell Population Response

Intraretinal conduction does not change the relative spike timing between ganglions of the same type but increases spike timing differences among ganglion cells of different type, and the intraretinal dispersion of the population activity will not be compensated by variability in extraretinalConduction times, estimated from data in the literature.
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51 References

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  • Biology, Computer Science
    Proceedings of the National Academy of Sciences
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Contrary to expectation, the information contained in single neurons does not decrease; in fact, the majority of neurons show a slight increase in the information conveyed by latency referenced to a population onset.
...