Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bidirectional Interaction between Visual and Motor Generative Models
  using Predictive Coding and Active Inference   In this work, we build upon the Active Inference (AIF) and Predictive Coding
(PC) frameworks to propose a neural architecture comprising a generative model
for sensory prediction, and a distinct generative model for motor trajectories.
We highlight how sequences of sensory predictions can act as rails guiding
learning, control and online adaptation of motor trajectories. We furthermore
inquire the effects of bidirectional interactions between the motor and the
visual modules. The architecture is tested on the control of a simulated
robotic arm learning to reproduce handwritten letters.

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The categories of this paper are: alg-geom
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The categories of this paper are: econ
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ph
3
The categories of this paper are: physics
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The categories of this paper are: acc-phys
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The categories of this paper are: q-fin
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The categories of this paper are: chem-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: funct-an
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: patt-sol