Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Binding and Perspective Taking as Inference in a Generative Neural
  Network Model   The ability to flexibly bind features into coherent wholes from different
perspectives is a hallmark of cognition and intelligence. Importantly, the
binding problem is not only relevant for vision but also for general
intelligence, sensorimotor integration, event processing, and language. Various
artificial neural network models have tackled this problem with dynamic neural
fields and related approaches. Here we focus on a generative encoder-decoder
architecture that adapts its perspective and binds features by means of
retrospective inference. We first train a model to learn sufficiently accurate
generative models of dynamic biological motion or other harmonic motion
patterns, such as a pendulum. We then scramble the input to a certain extent,
possibly vary the perspective onto it, and propagate the prediction error back
onto a binding matrix, that is, hidden neural states that determine feature
binding. Moreover, we propagate the error further back onto perspective taking
neurons, which rotate and translate the input features onto a known frame of
reference. Evaluations show that the resulting gradient-based inference process
solves the perspective taking and binding problem for known biological motion
patterns, essentially yielding a Gestalt perception mechanism. In addition,
redundant feature properties and population encodings are shown to be highly
useful. While we evaluate the algorithm on biological motion patterns, the
principled approach should be applicable to binding and Gestalt perception
problems in other domains.

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The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
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The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
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The categories of this paper are: econ
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The categories of this paper are: q-fin
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The categories of this paper are: q-bio
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The categories of this paper are: cond-mat
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The categories of this paper are: bayes-an
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The categories of this paper are: nucl-th
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The categories of this paper are: patt-sol
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The categories of this paper are: q-alg