Abstract

Traditionally, the information content of the neural response is quantified using statistics of the responses relative to stimulus onset time with the assumption that the brain uses onset time to infer stimulus identity. However, stimulus onset time must also be estimated by the brain, making the utility of such an approach questionable. How can stimulus onset be estimated from the neural responses with sufficient accuracy to ensure reliable stimulus identification? We address this question using the framework of colour coding by the archer fish retinal ganglion cell. We found that stimulus identity, “what”, can be estimated from the responses of best single cells with an accuracy comparable to that of the animal's psychophysical estimation. However, to extract this information, an accurate estimation of stimulus onset is essential. We show that stimulus onset time, “when”, can be estimated using a linear-nonlinear readout mechanism that requires the response of a population of 100 cells. Thus, stimulus onset time can be estimated using a relatively simple readout. However, large nerve cell populations are required to achieve sufficient accuracy.

Highlights

  • Considerable empirical as well as theoretical effort has been devoted to investigating the neural code [1,2,3]

  • To estimate stimulus identity based on the neural responses, all of these measures require the use of an accurate stimulus onset time [2,8,9,11,14,16,20]

  • Based on the framework of colour coding by the archer fish retinal ganglion cells, we investigate the representation of stimulus onset time, relying on a recent study showing that the absorption spectra of archer fish retinal photoreceptors are similar to those of humans [23]

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Summary

Introduction

Considerable empirical as well as theoretical effort has been devoted to investigating the neural code [1,2,3]. Many studies [4] have focused on coding external stimulus features according to the number of spikes fired during a time interval around stimulus onset [4,5,6,7] or based on spike timing [8,9,10]. To estimate stimulus identity based on the neural responses, all of these measures require the use of an accurate stimulus onset time [2,8,9,11,14,16,20]. How can stimulus onset be estimated from the noisy responses of large nerve cell populations? How accurate must the estimate of stimulus onset time be to infer stimulus identity?

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