Visuelle Wahrnehmung

7: What is unique about face perception and how is it different than object perception?

7: What kinds of processes happen in middle vision?

8: Evidence indivates that strucures in --- cortex are especially important in end-stage object recognition processes

Tipically ...

which is a entry-level category term?

8: --- is a failure to recognize objects in spite of the ability to see them

8: What are object representations made of, according to the recognition-by-components (RBC) model of object recognition?

8: What are object representations made of, according to view-based theories of object recognition?

8: Many researcher is vision science believe that object recognition is one of the most important functions of the human visual system. Thus it is perhaps not surprising that there exists a large body of research on object recognition.

One dominant approach - usally referred to as --- models - postulates a "visual alphabet" made from 3D geometric primitives. 

8: Many researcher is vision science believe that object recognition is one of the most important functions of the human visual system. Thus it is perhaps not surprising that there exists a large body of research on object recognition.

One dominant approach - usally referred to as structural description models - postulates a "visual alphabet" made from 3D geometric primitives. 

The most prominent theors of this kind is called ---, published in --- by ---.

8: Many researcher is vision science believe that object recognition is one of the most important functions of the human visual system. Thus it is perhaps not surprising that there exists a large body of research on object recognition.

One dominant approach - usally referred to as structural description models - postulates a "visual alphabet" made from 3D geometric primitives. 

An oppoing theory - usally referred to as --- models -  instead believes the human visual system recognizes objects by storing and matchin "2D-images" or "snap-shots" of objects and inter- and extrapolates between them if required to recognize an object from a novel viewpoint.

8: Many researcher is vision science believe that object recognition is one of the most important functions of the human visual system. Thus it is perhaps not surprising that there exists a large body of research on object recognition.

An opponing theory - usally referred to as view-based models -  instead believes the human visual system recognizes objects by storing and matchin "2D-images" or "snap-shots" of objects and inter- and extrapolates between them if required to recognize an object from a novel viewpoint.

One of the most well-known proponents of this theory is ---. --- both theories are --- connected to the findings, theories and models of early spatial vision.

8: Many researcher is vision science believe that object recognition is one of the most important functions of the human visual system. Thus it is perhaps not surprising that there exists a large body of research on object recognition.

Very recently DiCarlo, Cox and colleagues have argued for a computational neural netword approach to explain object recognition. This can be seen as a neuroscience-inspired computational instantiation of the --- approach to object recognition.

8: Some researchers believe that a major problem with structural decription theories of object recognition is that

8: A major problem with naive template theories of object recognition is 

8: One central property of the generalized-cone components is that they have so-called --- properties, because these properties would --- be produced by --- alignments of viewpoint and object features.

8: Thus RBC theory claims that certain properties of the --- image are taken by rhe visual system as strong evidence that the edges in the --- world contain the same properties.

8: The essential non-accidental properties of the generalized-cone components are:

8: Prosopagnosia is a neuropsychological disorder in whch the patiant

8: A study of cells in IT cortex of ahuman patien showed that they responded to very specific stimuli, such as ---.

8: Which is a loosely defined stage of visual processing that comes after basic features have been extracted from the image, and before object recognition and scene understanding?

8: Which is a subordinate level category term?

8: Which is a superordinate level category term?

8: Tarr and his colleagues found that the amount of time needed to recognize novel objects is at least partially determined by

8: Viewpoint invariance refers to the idea that

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for ---

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

The HMO model belongs in the larger class of --- models, standing for --- model.

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

The HMO model's essential architectural characteristic is its --- : There are, for example, many --- connections and different parameter ---.

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

---, the basic operations performed locally are --- troughout the network.

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

In the Yamins et al. (2014) article they report a large-scale modelling effort, evaluating around ---. Yamins et al. compared their models both to the response of cells in IT cortex (roughly N = --- cells) as well as on how well the models categorized a set of images (roughly N = --- images). One central finding was that models optimized for --- were also superior at --- .

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

In order to obtain a categorization performance from the HMO model, a --- decoder was --- the activity of units at the --- level(s) of the HMO network. Using such a procedure, the HMO model's performance was --- than that of --- models of object recognition on the difficult  --- variation task.