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Classical models of motion detection rely on non-linear interactions between two inputs after different temporal filtering.
The three conic sections (ellipse, parabola, and hyperbola) had been studied since antiquity, and Galileo's models of motion gave further proof that dynamics could be studied with the help of geometry.
To examine how faithfully the retina signals motion, stimulus speed was estimated directly from recorded RGC responses using an optimized algorithm that resembles models of motion sensing in the brain.
The direction of motion of a bar was estimated by comparing the timing of responses in ensembles of parasol (magnocellular-projecting) retinal ganglion cells recorded simultaneously, using a cross-correlation approach similar to standard models of motion sensing.
Using averaging mathematical models of motion and Pontriagin's maximum principle, the calculation method of the ballistic characteristics of approximately-optimal orbital transfer is obtained.
Firstly, the calculation models of motion, heat and mass transfer between water-droplet and exhaust airflow in a device are established under the conditions of summer, winter, respectively, and are solved by the fourth-order Runge Kutta method, secondly.
Similar(48)
This paper presents the fundamental analysis of a simplified nonlinear model of motion capable of exhibiting this flight condition.
The model of motion of clots of the non-homogeneous boiling liquid is proposed.
Then, the general model of motion of the carrier with complete degree of freedoms DOFs) is derived and analyzed.
The mathematical model of motion of two-wheeled single-track robot on the horizontal flat is analyzed and the automatic control algorithms are designed.
Here, we present a neural network model of motion detection, figure ground segregation and attentive selection which explains these response patterns in an unifying framework.
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