Literature DB >> 518937

The Alopex process: visual receptive fields by response feedback.

E Tzanakou, R Michalak, E Harth.   

Abstract

The determination of trigger features of single neurons in afferent pathways has been one of the central problems in sensory physiology. A novel method, called Alopex, has been developed, in which response feedback is used to construct visual patterns that optimize the responses. Data are presented which show the emergence of trigger features of cells monitored in frog visual tectum. The method id checked against results obtained by scanning the visual field with a small spot. Correlations between Alopex pattern and scann patterns are generally between 0.3 and 0.5 but may be as high as 0.9 when smoothing and/or averaging procedures are applied to the Alopex patterns. The dynamics of the Alopex process are discussed and details of the algorithms are presented. The series of experiments presented here has established the validity of the method and suggests that this approach should find wide application in receptive field studies. For that purpose data on the instrumentation and software are also presented.

Mesh:

Year:  1979        PMID: 518937     DOI: 10.1007/bf00337061

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  13 in total

1.  RECEPTIVE FIELDS AND FUNCTIONAL ARCHITECTURE IN TWO NONSTRIATE VISUAL AREAS (18 AND 19) OF THE CAT.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Neurophysiol       Date:  1965-03       Impact factor: 2.714

2.  Visual perception: a dynamic theory.

Authors:  E Harth
Journal:  Biol Cybern       Date:  1976       Impact factor: 2.086

3.  Spatio-temporal receptive field measurement of retinal neurons by random pattern stimulation and cross correlation.

Authors:  S Yasui; W Davis; K I Naka
Journal:  IEEE Trans Biomed Eng       Date:  1979-05       Impact factor: 4.538

4.  Alopex: a stochastic method for determining visual receptive fields.

Authors:  E Harth; E Tzanakou
Journal:  Vision Res       Date:  1974-12       Impact factor: 1.886

5.  Receptive fields and functional architecture of monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182

6.  Quantitative characterization of unit response in the visual system.

Authors:  H Sasaki; D M Bear; F R Ervin
Journal:  Exp Brain Res       Date:  1971       Impact factor: 1.972

7.  Striate neurons: receptive field organization.

Authors:  G H Henry; P O Bishop
Journal:  Invest Ophthalmol       Date:  1972-05

8.  Visual receptive fields in the cat's retina: complications.

Authors:  D N Spinelli
Journal:  Science       Date:  1966-06-24       Impact factor: 47.728

9.  Receptive field organization of ganglion cells in the cat's retina.

Authors:  D N Spinelli
Journal:  Exp Neurol       Date:  1967-11       Impact factor: 5.330

10.  The neural mechanism of binocular depth discrimination.

Authors:  H B Barlow; C Blakemore; J D Pettigrew
Journal:  J Physiol       Date:  1967-11       Impact factor: 5.182

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  7 in total

1.  Automating the design of informative sequences of sensory stimuli.

Authors:  Jeremy Lewi; David M Schneider; Sarah M N Woolley; Liam Paninski
Journal:  J Comput Neurosci       Date:  2010-06-16       Impact factor: 1.621

2.  Information theory in neuroscience.

Authors:  Alexander G Dimitrov; Aurel A Lazar; Jonathan D Victor
Journal:  J Comput Neurosci       Date:  2011-02       Impact factor: 1.621

3.  'Vector white noise': a technique for mapping the motion receptive fields of direction-selective visual neurons.

Authors:  M V Srinivasan; Z F Jin; G Stange; M R Ibbotson
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

4.  Neural networks and blood cell identification.

Authors:  E Micheli-Tzanakou; H Sheikh; B Zhu
Journal:  J Med Syst       Date:  1997-08       Impact factor: 4.460

5.  A parallel implementation of the ALOPEX process.

Authors:  L Melissaratos; E Micheli-Tzanakou
Journal:  J Med Syst       Date:  1989-10       Impact factor: 4.460

Review 6.  Adaptive stimulus optimization for sensory systems neuroscience.

Authors:  Christopher DiMattina; Kechen Zhang
Journal:  Front Neural Circuits       Date:  2013-06-06       Impact factor: 3.492

7.  Stochastic Optimization for an Analytical Model of Saltwater Intrusion in Coastal Aquifers.

Authors:  Paris N Stratis; George P Karatzas; Elena P Papadopoulou; Maria S Zakynthinaki; Yiannis G Saridakis
Journal:  PLoS One       Date:  2016-09-30       Impact factor: 3.240

  7 in total

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