Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly

Hennig P, Möller R, Egelhaaf M (2008)
PLoS ONE 3(8).

Download
OA 779.51 KB
Journal Article | Published | English
Abstract
Background: Detecting objects is an important task when moving through a natural environment. Flies, for example, may land on salient objects or may avoid collisions with them. The neuronal ensemble of Figure Detection cells (FD-cells) in the visual system of the fly is likely to be involved in controlling these behaviours, as these cells are more sensitive to objects than to extended background structures. Until now the computations in the presynaptic neuronal network of FD-cells and, in particular, the functional significance of the experimentally established distributed dendritic processing of excitatory and inhibitory inputs is not understood. Methodology/Principal Findings: We use model simulations to analyse the neuronal computations responsible for the preference of FD-cells for small objects. We employed a new modelling approach which allowed us to account for the spatial spread of electrical signals in the dendrites while avoiding detailed compartmental modelling. The models are based on available physiological and anatomical data. Three models were tested each implementing an inhibitory neural circuit, but differing by the spatial arrangement of the inhibitory interaction. Parameter optimisation with an evolutionary algorithm revealed that only distributed dendritic processing satisfies the constraints arising from electrophysiological experiments. In contrast to a direct dendro-dendritic inhibition of the FD-cell (Direct Distributed Inhibition model), an inhibition of its presynaptic retinotopic elements (Indirect Distributed Inhibition model) requires smaller changes in input resistance in the inhibited neurons during visual stimulation. Conclusions/Significance: Distributed dendritic inhibition of retinotopic elements as implemented in our Indirect Distributed Inhibition model is the most plausible wiring scheme for the neuronal circuit of FD-cells. This microcircuit is computationally similar to lateral inhibition between the retinotopic elements. Hence, distributed inhibition might be an alternative explanation of perceptual phenomena currently explained by lateral inhibition networks.
Publishing Year
ISSN
PUB-ID

Cite this

Hennig P, Möller R, Egelhaaf M. Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly. PLoS ONE. 2008;3(8).
Hennig, P., Möller, R., & Egelhaaf, M. (2008). Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly. PLoS ONE, 3(8).
Hennig, P., Möller, R., and Egelhaaf, M. (2008). Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly. PLoS ONE 3.
Hennig, P., Möller, R., & Egelhaaf, M., 2008. Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly. PLoS ONE, 3(8).
P. Hennig, R. Möller, and M. Egelhaaf, “Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly”, PLoS ONE, vol. 3, 2008.
Hennig, P., Möller, R., Egelhaaf, M.: Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly. PLoS ONE. 3, (2008).
Hennig, Patrick, Möller, Ralf, and Egelhaaf, Martin. “Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly”. PLoS ONE 3.8 (2008).
Main File(s)
File Name
Access Level
OA Open Access
Last Uploaded
2016-06-06T09:16:33Z

This data publication is cited in the following publications:
This publication cites the following data publications:

5 Citations in Europe PMC

Data provided by Europe PubMed Central.

Spatial vision in insects is facilitated by shaping the dynamics of visual input through behavioral action.
Egelhaaf M, Boeddeker N, Kern R, Kurtz R, Lindemann JP., Front Neural Circuits 6(), 2012
PMID: 23269913
Binocular integration of visual information: a model study on naturalistic optic flow processing.
Hennig P, Kern R, Egelhaaf M., Front Neural Circuits 5(), 2011
PMID: 21519385
Localized direction selective responses in the dendrites of visual interneurons of the fly.
Spalthoff C, Egelhaaf M, Tinnefeld P, Kurtz R., BMC Biol. 8(), 2010
PMID: 20384983

53 References

Data provided by Europe PubMed Central.

Movement detection in arthropods.
Egelhaaf M, Borst A., 1993
Über die Wirkung der räumlichen Vertheilung des Lichtreizes auf der Netzhaut, I Sitzungsberichte der mathematisch-naturwissenschaftlichen Classe der kaiserlichen Akademie der Wissenschaften
Mach E., 1865

Békésy G., 1967

Export

0 Marked Publications

Open Data PUB

Web of Science

View record in Web of Science®

Sources

PMID: 18769475
PubMed | Europe PMC

Search this title in

Google Scholar