English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Wide-field, motion-sensitive neurons and matched filters for optic flow fields

Franz, M., & Krapp, H. (2000). Wide-field, motion-sensitive neurons and matched filters for optic flow fields. Biological Cybernetics, 83(3), 185-197. doi:10.1007/s004220000163.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E47F-9 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E480-3
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Franz, MO1, Author              
Krapp, HG2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Former Department Comparative Neurobiology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497800              

Content

show
hide
Free keywords: -
 Abstract: The receptive field organization of a class of visual interneurons in the fly brain (vertical system, or VS neurons) shows a striking similarity to certain self-motion-induced optic flow fields. The present study compares the measured motion sensitivities of the VS neurons (Krapp et al. 1998) to a matched filter model for optic flow fields generated by rotation or translation. The model minimizes the variance of the filter output caused by noise and distance variability between different scenes. To that end, prior knowledge about distance and self-motion statistics is incorporated in the form of a “world model”. We show that a special case of the matched filter model is able to predict the local motion sensitivities observed in some VS neurons. This suggests that their receptive field organization enables the VS neurons to maintain a consistent output when the same type of self-motion occurs in different situations.

Details

show
hide
Language(s):
 Dates: 2000-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Biological Cybernetics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 83 (3) Sequence Number: - Start / End Page: 185 - 197 Identifier: -