English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Wide-Field, Motion-Sensitive Neurons and Optimal Matched Filters for Optic Flow

Franz, M., & Krapp, H.(1998). Wide-Field, Motion-Sensitive Neurons and Optimal Matched Filters for Optic Flow (61). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E875-C Version Permalink: http://hdl.handle.net/21.11116/0000-0006-D12F-A
Genre: Report

Files

show Files
hide Files
:
MPIK-TR-61.pdf (Publisher version), 459KB
Name:
MPIK-TR-61.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Franz, MO1, 2, Author              
Krapp, HG, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497797              

Content

show
hide
Free keywords: -
 Abstract: We present a theory for the construction of an optimal matched filter for self-motion induced optic flow fields. The matched filter extracts local flow components along a set of pre-defined directions and weights them according to an optimization principle which minimizes the difference between estimated and real egomotion parameters. In contrast to previous approaches, prior knowledge about distance and translation statistics is incorporated in the form of a "world model". Simulations indicate that the matched filter model yields reliable self-motion estimates. A comparison of the weight distribution used in the model with the local motion sensitivities of individual and small groups of interneurons in the fly visual system shows a close correspondence. This suggests that these so-called tangential neurons are tuned to optic flow fields induced by rotation or translation along a particular axis. They seem to weight the local optic flow according to the contribution of input noise and the expected variability of the translatory flow component. Their local preferred directions and motion sensitivities can be interpreted as an adaptation to the processing requirements of estimating self-motion from the optic flow.

Details

show
hide
Language(s):
 Dates: 1998-06
 Publication Status: Published in print
 Pages: 18
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 61
BibTex Citekey: 1529
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Technical Report of the Max Planck Institute for Biological Cybernetics
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 61 Sequence Number: - Start / End Page: - Identifier: -