Literature DB >> 4446379

Alopex: a stochastic method for determining visual receptive fields.

E Harth, E Tzanakou.   

Abstract

Mesh：

Year:  1974        PMID： 4446379     DOI： 10.1016/0042-6989(74)90024-8

Source DB:  PubMed          Journal:  Vision Res        ISSN： 0042-6989            Impact factor:   1.886


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  13 in total

1.  Searching for optimal sensory signals: iterative stimulus reconstruction in closed-loop experiments.

Authors:  Fredrik Edin; Christian K Machens; Hartmut Schütze; Andreas V M Herz
Journal:  J Comput Neurosci       Date:  2004 Jul-Aug       Impact factor: 1.621

2.  Rapid decision threshold modulation by reward rate in a neural network.

Authors:  Patrick Simen; Jonathan D Cohen; Philip Holmes
Journal:  Neural Netw       Date:  2006-09-20

3.  Visual perception: a dynamic theory.

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

4.  Searching for optimal stimuli: ascending a neuron's response function.

Authors:  Melinda Evrithiki Koelling; Duane Q Nykamp
Journal:  J Comput Neurosci       Date:  2012-05-13       Impact factor: 1.621

5.  The Alopex process: visual receptive fields by response feedback.

Authors:  E Tzanakou; R Michalak; E Harth
Journal:  Biol Cybern       Date:  1979       Impact factor: 2.086

6.  The RF-cinematogram. A cross-correlation technique for mapping several visual receptive fields at once.

Authors:  R Eckhorn; F Krause; J I Nelson
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

7.  A model of visual perception.

Authors:  L Borello; M Ferraro; P Penengo; M L Rossotti
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

8.  Visualization for understanding of neurodynamical systems.

Authors:  Włodzisław Duch; Krzysztof Dobosz
Journal:  Cogn Neurodyn       Date:  2011-03-26       Impact factor: 5.082

9.  A parallel implementation of the ALOPEX process.

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

10.  Inception loops discover what excites neurons most using deep predictive models.

Authors:  Edgar Y Walker; Fabian H Sinz; Erick Cobos; Taliah Muhammad; Emmanouil Froudarakis; Paul G Fahey; Alexander S Ecker; Jacob Reimer; Xaq Pitkow; Andreas S Tolias
Journal:  Nat Neurosci       Date:  2019-11-04       Impact factor: 24.884
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