Some informational aspects of visual perception.

By F. Attneave. 1954

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation (2016, positive): “The class of learning rules yielding invariance includes those that emerge from principles such as sparsity and the efficient coding hypothesis [6, 7, 39].”
How Little Do We Need for 3-D Shape Perception? (2011, background): “With regards to contour, work dates back to Attneave (1954) who suggested that the regions of high curvature along an object's contour are perceptually more informative and Guzman (1969) who attempted to infer the 3-”
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform (2010, background): “Among different ways such may be achieved, the efficient coding hypothesis [2, 3] asserts that a sensory system might be understood as a transform that reduces redundancies in its responses to the input sensory stimuli (e.”
Statistical Modeling and Conceptualization of Visual Patterns (2003, background): “Historically,Attneave [3],Barlow[5], andGibson [35]were among the earliest who argued for the ecologic influence on vision perception.”
Statistical learning of higher-order temporal structure from visual shape sequences. (2002, background): “This research posits that reducing uncertainty, or increasing the efficiency of the coding of sensory information, is essential for associative learning and ultimately for normal functioning in the brain (Atick, 1992; Attneave, 1954; Barlow 1961, 1989; von der Malsburg, 1981).”
The Stopping Power of Advertising: Measures and Effects of Visual Complexity (2010, background): “For example, Attneave (1954) proposed that asymmetry in the shape of objects increases complexity.”
Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition (2009, methodology): “It is shown that this principle is closely related to a number of previously proposed principles for the organization of perceptual systems: maximization of information transmission across perceptual layers (infomax) [33], [ 34 ], [35], inference by detection of suspicious coincidences [36], and cla”
Probabilistic independent component analysis for functional magnetic resonance imaging (2004, background): “These learning rules are based on the principle of redundancy reduction as a coding strategy for neurons of the perceptual system [12].”
A review of predictive coding algorithms. (2017, background): “By removing predictable information from the transmitted signal the retina can be considered to perform efﬁcient coding or redundancy reduction (Attneave, 1954; Barlow, 1960, 2001; Laughlin, 1990, chap.”
Ecological statistics of Gestalt laws for the perceptual organization of contours. (2002, methodology): “In order to avoid these problems, we employ a second level of representation in which the contour is locally represented by tangents with position, orientation, and length represented by real numbers (Elder & Zucker, 1996a).”
A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives. (2015, background): “The task of reconstructing an arbitrary pattern of ten-by-ten black-and-white squares that a person is viewing might seem easy, but it constitutes a formidable challenge (Attneave, 1954).”
Visual adaptation: physiology, mechanisms, and functional benefits. (2007, background): “…of the general predictive coding strategy of the visual system, which improves efficiency by encoding the environment as differences in stimulus strength in space (e.g., the center-surround organization of RGC receptive fields) or in time (Attneave 1954; Barlow 1961; Srinivasan et al. 1982).”