Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modelling Drosophila Motion Vision Pathways for Decoding the Direction
  of Translating Objects Against Cluttered Moving Backgrounds   Decoding the direction of translating objects in front of cluttered moving
backgrounds, accurately and efficiently, is still a challenging problem. In
nature, lightweight and low-powered flying insects apply motion vision to
detect a moving target in highly variable environments during flight, which are
excellent paradigms to learn motion perception strategies. This paper
investigates the fruit fly \textit{Drosophila} motion vision pathways and
presents computational modelling based on cutting-edge physiological
researches. The proposed visual system model features bio-plausible ON and OFF
pathways, wide-field horizontal-sensitive (HS) and vertical-sensitive (VS)
systems. The main contributions of this research are on two aspects: 1) the
proposed model articulates the forming of both direction-selective (DS) and
direction-opponent (DO) responses, revealed as principal features of motion
perception neural circuits, in a feed-forward manner; 2) it also shows robust
direction selectivity to translating objects in front of cluttered moving
backgrounds, via the modelling of spatiotemporal dynamics including combination
of motion pre-filtering mechanisms and ensembles of local correlators inside
both the ON and OFF pathways, which works effectively to suppress irrelevant
background motion or distractors, and to improve the dynamic response.
Accordingly, the direction of translating objects is decoded as global
responses of both the HS and VS systems with positive or negative output
indicating preferred-direction (PD) or null-direction (ND) translation. The
experiments have verified the effectiveness of the proposed neural system
model, and demonstrated its responsive preference to faster-moving,
higher-contrast and larger-size targets embedded in cluttered moving
backgrounds.

26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn