Literature DB >> 19553490

How reliable is the pattern adaptation technique? A modeling study.

Jay Hegdé1.   

Abstract

Upon prolonged viewing of a sinusoidal grating, the visual system is selectively desensitized to the spatial frequency of the grating, while the sensitivity to other spatial frequencies remains largely unaffected. This technique, known as pattern adaptation, has been so central to the psychophysical study of the mechanisms of spatial vision that it is sometimes referred to as the "psychologist's microelectrode." While this approach implicitly assumes that the adaptation behavior of the system is diagnostic of the corresponding underlying neural mechanisms, this assumption has never been explicitly tested. We tested this assumption using adaptation bandwidth, or the range of spatial frequencies affected by adaptation, as a representative measure of adaptation. We constructed an intentionally simple neuronal ensemble model of spatial frequency processing and examined the extent to which the adaptation bandwidth at the system level reflected the bandwidth at the neuronal level. We find that the adaptation bandwidth could vary widely even when all spatial frequency tuning parameters were held constant. Conversely, different spatial frequency tuning parameters were able to elicit similar adaptation bandwidths from the neuronal ensemble. Thus, the tuning properties of the underlying units did not reliably reflect the adaptation bandwidth at the system level, and vice versa. Furthermore, depending on the noisiness of adaptation at the neural level, the same neuronal ensemble was able to produce selective or nonselective adaptation at the system level, indicating that a lack of selective adaptation at the system level cannot be taken to mean a lack of tuned mechanisms at the neural level. Together, our results indicate that pattern adaptation cannot be used to reliably estimate the tuning properties of the underlying units, and imply, more generally, that pattern adaptation is not a reliable tool for studying the neural mechanisms of pattern analysis.

Mesh:

Year:  2009        PMID: 19553490     DOI: 10.1152/jn.00216.2009

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


  7 in total

Review 1.  A review of the mechanisms by which attentional feedback shapes visual selectivity.

Authors:  Sam Ling; Janneke F M Jehee; Franco Pestilli
Journal:  Brain Struct Funct       Date:  2014-07-03       Impact factor: 3.270

Review 2.  Adaptation and visual coding.

Authors:  Michael A Webster
Journal:  J Vis       Date:  2011-05-20       Impact factor: 2.240

3.  Testing the assumptions underlying fMRI adaptation using intracortical recordings in area MT.

Authors:  Kohitij Kar; Bart Krekelberg
Journal:  Cortex       Date:  2016-01-19       Impact factor: 4.027

4.  Visual Adaptation.

Authors:  Michael A Webster
Journal:  Annu Rev Vis Sci       Date:  2015-10-22       Impact factor: 6.422

5.  Are high-level aftereffects perceptual?

Authors:  Katherine R Storrs
Journal:  Front Psychol       Date:  2015-02-19

6.  Evolving concepts of sensory adaptation.

Authors:  Michael A Webster
Journal:  F1000 Biol Rep       Date:  2012-11-01

7.  Short-Term Attractive Tilt Aftereffects Predicted by a Recurrent Network Model of Primary Visual Cortex.

Authors:  Maria Del Mar Quiroga; Adam P Morris; Bart Krekelberg
Journal:  Front Syst Neurosci       Date:  2019-11-08
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.