The binding problem.

By Anne Treisman. 1996

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Citations in the corpus

On the Binding Problem in Artificial Neural Networks (2020, background): “…as visual binding (color, shape, texture), auditory binding (a voice from a crowd), binding across time (motion), cross-modal binding (sound and vision into joint event), motor-behavior (an action), and sensorimotor binding (hand-eye coordination) (Treisman, 1996; Roskies, 1999; Feldman, 2013).”
Neural Expectation Maximization (2017, background): “This is known as the Binding Problem [21, 37, 13] and has been extensively discussed in neuroscience [33].”
Connectivity and complexity: the relationship between neuroanatomy and brain dynamics (2000, background): “This " binding problem " (Treisman, 1996; Von der Malsburg, 1995) extends over several problem domains, including the binding of features to form objects, the binding of parts of a spatially extended object and its differentiation from a background, as well as the binding of different views of an…”
Causal Inference in Multisensory Perception (2007, background): “Inference about causal structure is an important element of the perceptual binding of multisensory stimuli: when and how do sights and sounds get paired into a unified conscious percept [ 22 ,30]? The causal inference model presents a partial answer to this question.”
The composite face illusion: A whole window into our understanding of holistic face perception (2013, unknown): “…these elements need to be combined*for instance, by convergence of inputs to neurons in higher order areas with larger receptive fields, or/and by temporal synchronization of the activity of distributed populations of neurons in lower level areas (the ‘‘binding’’ problem in vision; Treisman, 1996).”
Event files: feature binding in and across perception and action. (2004, unknown): “This creates binding problems [ 1 ], which call for a mechanism that somehow integrates the codes of features belonging to the same event (see Box 1). In this article, I propose that each encounter with a perceived event, such as a briefly presented stimulus, or a to-be-produced event, such as an in”
The Neural Site of Attention Matches the Spatial Scale of Perception (2006, background): “The presence of multiple competing objects within a receptive field may lead to perceptual interference (Treisman, 1996; Luck et al., 1997a), and mechanisms of attention are therefore used to bias the competition in favor of task-relevant information (Desimone and Duncan, 1995), with the strongest…”
The role of neural mechanisms of attention in solving the binding problem. (1999, background): “Finally, all of these mechanisms for attentional selectionFeature Integration Theory (FIT) proposed by Treisman and Gelade (1980) (see also Treisman and Schmidt, and salience operate in concert within multiple cortical areas of dorsal and ventral visual processing streams,1982; Treisman, 1996).”
Neural correlations, population coding and computation (2006, background): “, states that noise correlations (more specifically, synchronous spikes) could solve the binding proble”
Forty years after Feature Integration Theory (2020, background): “Binding errors were important to Treisman because they seemed to show that features were processed separately and needed to be put together with the help of selective attention (Burwick, 2014; Treisman, 1996; Treisman & Schmidt, 1982).”
Nonlinear multivariate analysis of neurophysiological signals. (2005, background): “From a neurophysiological perspective, it has been claimed that this kind of synchronization in high frequency bands might be one of the mechanisms contributing to the so-called temporal binding model of perception (Engel and Singer, 2001; Treisman, 1996), a model against which, however, important c”
When an object is more than a binding of its features: Evidence for two mechanisms of visual feature integration (2009, background): “and Hommel (2008) disentangled these factors by testing whether two given features appearing in the same location would be still integrated even if they obviously belonged to two different objects.”
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? (2013, unknown): “neuroscience as the binding problem [185], [84].”
Contextual factors multiplex to control multisensory processes (2016, background): “Top-down attentional control would be a prime candidate for a mechanism that could to link a particular location, a particular audiovisual stimulus (congruent or incongruent) and, crucially, a particular context of congruence [Treisman, 1996, 2006].”
Multisensory feature integration in (and out) of the focus of spatial attention (2019, background): “3 Note that here we are talking about property binding, one of the seven classes of binding identified by Treisman (1996).”