English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Sparse coding predicts optic flow specificities of zebrafish pretectal neurons

Mallot, H., Ecke, G., Mikulasch, F., Bruijns, S., Witschel, T., & Arrenberg, A. (2019). Sparse coding predicts optic flow specificities of zebrafish pretectal neurons. Poster presented at 13th Göttingen Meeting of the German Neuroscience Society, 37th Göttingen Neurobiology Conference, Göttingen, Germany.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Mallot, HA, Author           
Ecke, G, Author
Mikulasch, F, Author
Bruijns, S1, Author           
Witschel, T, Author
Arrenberg, AB, Author
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Zebrafish pretectal neurons exhibit specificities for large-field optic flow patterns associated with rotatory or translatory body motion. We investigate the hypothesis that these specificities reflect the input
statistics of natural optic flow. Realistic motion sequences were generated using computer graphics
simulating self-motion in an underwater scene. Local retinal motion was estimated with a motion detector
and encoded in four populations of directionally tuned retinal ganglion cells, represented as two signed
input variables. This activity was then used as input into one of two learning networks: a sparse coding
network (competitive learning) and backpropagation network (supervised learning). Both simulations
develop specificities for optic flow which are comparable to those found in a neurophysiological study
(Kubo, F. et al., 2014, Neuron 81:1344-59), and relative frequencies of the various neuronal responses
are best modeled by the sparse coding approach. We conclude that the optic flow neurons in the
zebrafish pretectum do reflect the optic flow statistics. The predicted vectorial receptive fields show
typical optic flow fields but also “Gabor" and dipole-shaped patterns that likely reflect difference-fields
needed for reconstruction by linear superposition. For a full version of this paper, see
https://arxiv.org/abs/1805.01277.

Details

show
hide
Language(s):
 Dates: 2019-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

Event

show
hide
Title: 13th Göttingen Meeting of the German Neuroscience Society, 37th Göttingen Neurobiology Conference
Place of Event: Göttingen, Germany
Start-/End Date: 2019-03-20 - 2019-03-23

Legal Case

show

Project information

show

Source 1

show
hide
Title: Neuroforum
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 25 (Supplement 1) Sequence Number: T26-2C Start / End Page: 1040 Identifier: ISSN: 0947-0875
CoNE: https://pure.mpg.de/cone/journals/resource/110978984249776