Sentence examples for motion estimation circuit from inspiring English sources

Second, each model has a distinct biological interpretation in terms of Drosophila's motion estimation circuit (Table 1).

Here we investigate whether the computational demands imposed by accurate motion estimation in natural environments can illuminate the unexpected details of Drosophila's motion estimation circuit or account for non-Reichardtian motion perception in flies.

More generally, we have highlighted several points that are most critical to the paper: (a) In the motion estimation circuit, nonlinearities are a feature, not a bug, and can be tuned to improve motion estimation in natural scenes.

In this paper, we sequentially introduced several models in order to isolate specific ideas about the relationships between Drosophila's behavior, its motion estimation circuit, and the statistical demands of accurate motion estimation in natural environments.

Nevertheless, it's conceivable that such terms could play a role in Drosophila's motion estimation circuit, because the same elementary motion detector is thought to underlie a wide variety of motion-guided behaviors, and the inclusion of this locally beneficial term is not detrimental to whole field motion estimation.

More generally, our results posit normative interpretations for some unexpected aspects of the fly's motion estimation circuit and behavior and suggest that non-Reichardtian aspects of fly circuitry and behavior might be closely linked through the statistics of natural scenes.> The HRC is the dominant model of motion computation in flies and other insects.

The motion estimation algorithm estimates the motion of blocks in the middle frame, F t).

A central goal of research in visual motion estimation is to understand how neural circuits invert (or decode) that encoding of velocity.

Since many of these details go beyond the HRC's premise, we must consider alternate theories if we hope to understand how circuit details contribute to motion estimation.

Our modeling suggests that these two forms of circuit heterogeneity could enhance motion estimation by facilitating computations that go beyond averaging to compute higher-order correlations that are distributed across multiple points in space.

A novel motion estimation algorithm is proposed to estimate the object model motion hierarchically.