Literature DB >> 3559668

Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. I. Response characteristics.

B J Richmond, L M Optican, M Podell, H Spitzer.   

Abstract

We seek a general approach to determine what stimulus features visual neurons are sensitive to and how those features are represented by the neuron's responses. Because lesions of inferior temporal (IT) cortex interfere with a monkey's ability to perform pattern discrimination tasks we studied IT neurons. Previous single-unit studies have shown that IT neurons sometimes respond more strongly to complex stimuli (brushes, hands, faces) than to simple stimuli (bars, slits, edges). However, it is not known how specific stimulus parameters are represented by responses. We studied the responses of IT neurons in alert behaving monkeys to a large set of two-dimensional black and white patterns. The stimulus set was based on 64 Walsh functions that can be used to represent any picture with a resolution of one part in eight along each of two dimensions. The responses to these stimuli spanned a continuum from inhibition to strong excitation. A statistical test showed that the spike count was determined by which Walsh stimulus was presented. Hence, these stimuli form an adequate set for testing IT neurons. The responses showed temporal modulation of the spike train that could not be represented by a change in the spike count alone. Examples of this modulation were changes in latency, changes in the duration of the response, and alternating periods of excitation and inhibition. This temporal modulation may be important in representing stimulus parameters. The next paper in this series develops a method for quantifying this temporal modulation and shows that it is dependent on the stimulus. The third paper in this series shows that this temporal modulation contains more information about stimulus parameters than is contained in the spike count alone.

Mesh:

Year:  1987        PMID: 3559668     DOI: 10.1152/jn.1987.57.1.132

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


  104 in total

Review 1.  The labile brain. III. Transients and spatio-temporal receptive fields.

Authors:  K J Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-02-29       Impact factor: 6.237

Review 2.  The labile brain. I. Neuronal transients and nonlinear coupling.

Authors:  K J Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-02-29       Impact factor: 6.237

3.  Natural stimulation of the nonclassical receptive field increases information transmission efficiency in V1.

Authors:  William E Vinje; Jack L Gallant
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

4.  Decoding neuronal spike trains: how important are correlations?

Authors:  Sheila Nirenberg; Peter E Latham
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-29       Impact factor: 11.205

Review 5.  The temporal resolution of neural codes: does response latency have a unique role?

Authors:  M W Oram; D Xiao; B Dritschel; K R Payne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

6.  A model-based approach for the analysis of neuronal information transmission in multi-input and -output systems.

Authors:  M Eger; R Eckhorn
Journal:  J Comput Neurosci       Date:  2002 May-Jun       Impact factor: 1.621

7.  Assessing the encoding of stimulus attributes with rapid sequences of stimulus events.

Authors:  M Eger; R Eckhorn
Journal:  J Comput Neurosci       Date:  2002 Nov-Dec       Impact factor: 1.621

8.  Coding of position by simultaneously recorded sensory neurones in the cat dorsal root ganglion.

Authors:  R B Stein; D J Weber; Y Aoyagi; A Prochazka; J B M Wagenaar; S Shoham; R A Normann
Journal:  J Physiol       Date:  2004-08-26       Impact factor: 5.182

9.  Evidence for gaze feedback to the cat superior colliculus: discharges reflect gaze trajectory perturbations.

Authors:  Satoshi Matsuo; André Bergeron; Daniel Guitton
Journal:  J Neurosci       Date:  2004-03-17       Impact factor: 6.167

10.  Neuronal variability of MSTd neurons changes differentially with eye movement and visually related variables.

Authors:  Lukas Brostek; Ulrich Büttner; Michael J Mustari; Stefan Glasauer
Journal:  Cereb Cortex       Date:  2012-07-06       Impact factor: 5.357

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