Literature DB >> 14960559

Visual cortex neurons of monkeys and cats: temporal dynamics of the spatial frequency response function.

Robert A Frazor1, Duane G Albrecht, Wilson S Geisler, Alison M Crane.   

Abstract

We measured the responses of striate cortex neurons as a function of spatial frequency on a fine time scale, over the course of an interval that is comparable to the duration of a single fixation (200 ms). Stationary gratings were flashed on for 200 ms and then off for 300 ms; the responses were analyzed at sequential 1-ms intervals. We found that 1) the preferred spatial frequency shifts through time from low frequencies to high frequencies, 2) the latency of the response increases as a function of spatial frequency, and 3) the poststimulus time histograms (PSTHs) are relatively shape-invariant across spatial frequency. The dynamic shifts in preferred spatial frequency appear to be a simple consequence of the latency shifts and the transient nature of the PSTH. The effects of these dynamic shifts on the coding of spatial frequency information are examined within the context of several different temporal integration strategies, and pattern-detection performance is determined as a function of the interval of integration, following response onset. The findings are considered within the context of related investigations as well as a number of functional issues: motion selectivity in depth, "coarse-to-fine" processing, direction selectivity, latency as a code for stimulus attributes, and behavioral response latency. Finally, we demonstrate that the results are qualitatively consistent with a simple feedforward model, similar to the one originally proposed in 1962 by Hubel and Wiesel, that incorporates measured differences in the response latencies and the receptive field sizes of different lateral geniculate nucleus inputs.

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Mesh:

Year:  2004        PMID: 14960559     DOI: 10.1152/jn.00858.2003

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


  31 in total

1.  Dynamics of spatial frequency tuning in mouse visual cortex.

Authors:  Samme Vreysen; Bin Zhang; Yuzo M Chino; Lutgarde Arckens; Gert Van den Bergh
Journal:  J Neurophysiol       Date:  2012-03-07       Impact factor: 2.714

2.  Spatiotemporal profiles of receptive fields of neurons in the lateral posterior nucleus of the cat LP-pulvinar complex.

Authors:  Marilyse Piché; Sébastien Thomas; Christian Casanova
Journal:  J Neurophysiol       Date:  2015-08-19       Impact factor: 2.714

3.  Linking neuronal and behavioral performance in a reaction-time visual detection task.

Authors:  Chris Palmer; Shao-Ying Cheng; Eyal Seidemann
Journal:  J Neurosci       Date:  2007-07-25       Impact factor: 6.167

4.  Standing waves and traveling waves distinguish two circuits in visual cortex.

Authors:  Andrea Benucci; Robert A Frazor; Matteo Carandini
Journal:  Neuron       Date:  2007-07-05       Impact factor: 17.173

5.  Optimal temporal decoding of neural population responses in a reaction-time visual detection task.

Authors:  Yuzhi Chen; Wilson S Geisler; Eyal Seidemann
Journal:  J Neurophysiol       Date:  2008-01-16       Impact factor: 2.714

6.  Development of spatial coarse-to-fine processing in the visual pathway.

Authors:  Jasmine A Nirody
Journal:  J Comput Neurosci       Date:  2014-06       Impact factor: 1.621

7.  Strabismus disrupts binocular synaptic integration in primary visual cortex.

Authors:  Benjamin Scholl; Andrew Y Y Tan; Nicholas J Priebe
Journal:  J Neurosci       Date:  2013-10-23       Impact factor: 6.167

8.  V1 response timing and surface filling-in.

Authors:  Xin Huang; Michael A Paradiso
Journal:  J Neurophysiol       Date:  2008-05-28       Impact factor: 2.714

9.  Spectro-temporal modulation transfer function of single voxels in the human auditory cortex measured with high-resolution fMRI.

Authors:  Marc Schönwiesner; Robert J Zatorre
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-10       Impact factor: 11.205

10.  Can the Brain Do Backpropagation? -Exact Implementation of Backpropagation in Predictive Coding Networks.

Authors:  Yuhang Song; Thomas Lukasiewicz; Zhenghua Xu; Rafal Bogacz
Journal:  Adv Neural Inf Process Syst       Date:  2020
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