The neural binding problem(s)

By Jerome A. Feldman. 2013

158 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

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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).”
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures (2020, background): “This association, variable binding, generates what is called the systematicity of cognition (Fodor, 1975; Plate, 2003).”
A Multimodal Connectionist Architecture for Unsupervised Grounding of Spatial Language (2014, methodology): “The model also proposes a solution to the (unsupervised) symbol grounding that can be considered as a temporal synchrony [6].”
Neural-Symbolic Learning and Reasoning: Contributions and Challenges (2015, background): “It is exactly in this area that neural-symbolic learning and reasoning has been relevant for over two decades, having addressed many relevant representational issues, e.g. the binding problem (Feldman, 2013; Sun, 1994).”
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation (2017, methodology): “Following the definition by (Feldman, 2013), in short the general binding problem concerns how items, which are encoded in distinct circuits of a massively parallel computing device, can be combined in complex ways, for various cognitive tasks.”