Rapid Neural Coding in the Retina with Relative Spike Latencies

  title={Rapid Neural Coding in the Retina with Relative Spike Latencies},
  author={Tim Gollisch and Markus Meister},
  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… 

Timing Precision in Population Coding of Natural Scenes in the Early Visual System

It is argued that preserving relative spike timing at a ∼10-ms resolution is a crucial property of the neural code entering cortex.

An approximate retina model with cascade structures

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.

Rapid global shifts in natural scenes block spiking in specific ganglion cell types

Findings indicate that the fast, transient elevation of visual threshold during rapid shifts in scene has a significant retinal component.

Precision of spike trains in primate retinal ganglion cells.

The spike time and count variability of parasol (magnocellular-projecting) retinal ganglion cells was examined in isolated macaque monkey retinas stimulated with repeated presentations of high contrast, spatially uniform intensity modulation.

Efficacy of Retinal Spikes in Driving Cortical Responses

It is found that a single RGC directly contributed on average to ∼3% of the activity of its cortical target, and the relative magnitude of this disynaptic paired spike enhancement was considerably larger than has been found previously for retinogeniculate and geniculocortical connections.

Temporal coding of contrast in primary visual cortex: when, what, and why.

The results indicate that as much or more contrast-related information is encoded into the temporal structure of spike train responses as into the firing rate and that the temporally coded information is manifested most strongly in the latency to response onset.

A simple white noise analysis of neuronal light responses

A white noise technique is presented for estimating the response properties of spiking visual system neurons that provides a complete and easily interpretable model of light responses even for neurons that display a common form of response nonlinearity that precludes classical linear systems analysis.

Complex spike-event pattern of transient ON-OFF retinal ganglion cells.

Spike counts and temporal structure of retinal ganglion cells carry complementary information about the stimulus condition, and thus spike-event patterns could be an important aspect ofretinal coding.

First-spike latency information in single neurons increases when referenced to population onset

  • S. ChaseE. Young
  • Biology, Computer Science
    Proceedings of the National Academy of Sciences
  • 2007
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.