Features and dimensions: Motion estimation in fly vision

Details Features and dimensions: Motion estimation in fly vision Features and dimensions: Motion estimation in fly vision

2005-05-02

arxiv.org/abs/q-bio/0505003v1

Biology

Quantitative Biology

Neurons and Cognition

18 pages, 11 figures, some in color

Scientific paper

We characterize the computation of motion in the fly visual system as a mapping from the high dimensional space of signals in the retinal photodetector array to the probability of generating an action potential in a motion sensitive neuron. Our approach to this problem identifies a low dimensional subspace of signals within which the neuron is most sensitive, and then samples this subspace to visualize the nonlinear structure of the mapping. The results illustrate the computational strategies predicted for a system that makes optimal motion estimates given the physical noise sources in the detector array. More generally, the hypothesis that neurons are sensitive to low dimensional subspaces of their inputs formalizes the intuitive notion of feature selectivity and suggests a strategy for characterizing the neural processing of complex, naturalistic sensory inputs.

Affiliated with

Also associated with

No associations

Rating

Features and dimensions: Motion estimation in fly vision does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Features and dimensions: Motion estimation in fly vision, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Features and dimensions: Motion estimation in fly vision will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-460744