scholarly journals The structure of illusory conjunctions reveals hierarchical binding of multipart objects

2019 ◽  
Vol 82 (2) ◽  
pp. 550-563 ◽  
Author(s):  
Edward Vul ◽  
Cory A. Rieth ◽  
Timothy F. Lew ◽  
Anina N. Rich
1989 ◽  
Vol 12 (3) ◽  
pp. 381-397 ◽  
Author(s):  
Gary W. Strong ◽  
Bruce A. Whitehead

AbstractPurely parallel neural networks can model object recognition in brief displays – the same conditions under which illusory conjunctions (the incorrect combination of features into perceived objects in a stimulus array) have been demonstrated empirically (Treisman 1986; Treisman & Gelade 1980). Correcting errors of illusory conjunction is the “tag-assignment” problem for a purely parallel processor: the problem of assigning a spatial tag to nonspatial features, feature combinations, and objects. This problem must be solved to model human object recognition over a longer time scale. Our model simulates both the parallel processes that may underlie illusory conjunctions and the serial processes that may solve the tag-assignment problem in normal perception. One component of the model extracts pooled features and another provides attentional tags that correct illusory conjunctions. Our approach addresses two questions: (i) How can objects be identified from simultaneously attended features in a parallel, distributed representation? (ii) How can the spatial selectional requirements of such an attentional process be met by a separation of pathways for spatial and nonspatial processing? Our analysis of these questions yields a neurally plausible simulation of tag assignment based on synchronizing feature processing activity in a spatial focus of attention.


2016 ◽  
Vol 53 (11) ◽  
pp. 1639-1650 ◽  
Author(s):  
Shuo Qin ◽  
Nicholas R. Ray ◽  
Nithya Ramakrishnan ◽  
Kaoru Nashiro ◽  
Margaret A. O'Connell ◽  
...  

1991 ◽  
Vol 3 (4) ◽  
pp. 510-525 ◽  
Author(s):  
D. Horn ◽  
D. Sagi ◽  
M. Usher

We investigate binding within the framework of a model of excitatory and inhibitory cell assemblies that form an oscillating neural network. Our model is composed of two such networks that are connected through their inhibitory neurons. The excitatory cell assemblies represent memory patterns. The latter have different meanings in the two networks, representing two different attributes of an object, such as shape and color. The networks segment an input that contains mixtures of such pairs into staggered oscillations of the relevant activities. Moreover, the phases of the oscillating activities representing the two attributes in each pair lock with each other to demonstrate binding. The system works very well for two inputs, but displays faulty correlations when the number of objects is larger than two. In other words, the network conjoins attributes of different objects, thus showing the phenomenon of “illusory conjunctions,” as in human vision.


1982 ◽  
Vol 14 (1) ◽  
pp. 107-141 ◽  
Author(s):  
Anne Treisman ◽  
Hilary Schmidt

Author(s):  
Caterina Cinel ◽  
Glyn W. Humphreys ◽  
Riccardo Poli

2003 ◽  
Vol 4 (3) ◽  
pp. 65-70 ◽  
Author(s):  
Michael D. Hall ◽  
Kimberly Wieberg

Perception ◽  
1994 ◽  
Vol 23 (4) ◽  
pp. 471-486 ◽  
Author(s):  
Régine Kolinsky ◽  
José Morais ◽  
Arlette Verhaeghe

It has been suggested in previous studies that unschooled adults present serious difficulties at performing tasks which, like part verification, dimensional filtering, or orientation judgments, require them to pay attention to a specific aspect of the stimulus structure. In the present study we examined the performance of unschooled adults by using a task which does not explicitly require the subjects to attend selectively to a specific component of the stimuli. Separability either of parts or of dimensions as well as line-orientation registration were estimated by the occurrence of illusory conjunctions. Whatever the properties involved in the illusions, these occurred in unschooled adults, at about the same rate as in age-matched schooled controls. The two sets of contrasting findings suggest that a critical variable is whether or not the subjects' attentional control is required. The relevance of the present findings as regards the level of processing responsible for illusory conjunctions is discussed.


2000 ◽  
Vol 27 (2) ◽  
pp. 142-144 ◽  
Author(s):  
John Neuhoff

Presentation software, notebook computers, and projection equipment are increasingly being used to present lecture material. However, the potential advantages of such presentation over more traditional lecture methods are often underutilized. In this article, I illustrate computer-based classroom demonstrations in perception and cognition that require no computer programming and can be presented with the same standard presentation software used for lecture presentation, thus allowing the demonstrations to fit seamlessly within the lecture. The demonstrations capitalize on the advantages of multimedia lecture presentations because they are interactive and cannot be achieved with more traditional pedagogical methods. Examples include apparent motion, anorthoscopic perception, illusory conjunctions, and the capacity of early visual memory.


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