Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Encoding Longer-term Contextual Multi-modal Information in a Predictive
  Coding Model   Studies suggest that within the hierarchical architecture, the topological
higher level possibly represents a conscious category of the current sensory
events with slower changing activities. They attempt to predict the activities
on the lower level by relaying the predicted information. On the other hand,
the incoming sensory information corrects such prediction of the events on the
higher level by the novel or surprising signal. We propose a predictive
hierarchical artificial neural network model that examines this hypothesis on
neurorobotic platforms, based on the AFA-PredNet model. In this neural network
model, there are different temporal scales of predictions exist on different
levels of the hierarchical predictive coding, which are defined in the temporal
parameters in the neurons. Also, both the fast and the slow-changing neural
activities are modulated by the active motor activities. A neurorobotic
experiment based on the architecture was also conducted based on the data
collected from the VRep simulator.

25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio