Robust coding of flow-field parameters by axo-axonal gap junctions between fly visual interneurons
- PMID: 17551009
- PMCID: PMC1886000
- DOI: 10.1073/pnas.0703697104
Robust coding of flow-field parameters by axo-axonal gap junctions between fly visual interneurons
Abstract
Complex flight maneuvers require a sophisticated system to exploit the optic flow resulting from moving images of the environment projected onto the retina. In the fly's visual course control center, the lobula plate, 10 so-called vertical system (VS) cells are thought to match, with their complex receptive fields, the optic flow resulting from rotation around different body axes. However, signals of single VS cells are unreliable indicators of such optic flow parameters in the context of their noisy, texture-dependent input from local motion measurements. Here we propose an alternative encoding scheme based on network simulations of biophysically realistic compartmental models of VS cells. The simulations incorporate recent data about the highly selective connectivity between VS cells consisting of an electrical axo-axonal coupling between adjacent cells and a reciprocal inhibition between the most distant cells. We find that this particular wiring performs a linear interpolation between the output signals of VS cells, leading to a robust representation of the axis of rotation even in the presence of textureless patches of the visual surround.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
Similar articles
-
Efficient encoding of motion is mediated by gap junctions in the fly visual system.PLoS Comput Biol. 2017 Dec 4;13(12):e1005846. doi: 10.1371/journal.pcbi.1005846. eCollection 2017 Dec. PLoS Comput Biol. 2017. PMID: 29206224 Free PMC article.
-
Dendritic structure and receptive-field organization of optic flow processing interneurons in the fly.J Neurophysiol. 1998 Apr;79(4):1902-17. doi: 10.1152/jn.1998.79.4.1902. J Neurophysiol. 1998. PMID: 9535957
-
Robustness of the tuning of fly visual interneurons to rotatory optic flow.J Neurophysiol. 2003 Sep;90(3):1626-34. doi: 10.1152/jn.00234.2003. Epub 2003 May 7. J Neurophysiol. 2003. PMID: 12736239
-
How do nerve cells compute? Dendritic integration in fly visual interneurones.Acta Physiol Scand. 1996 Jul;157(3):403-7. doi: 10.1046/j.1365-201X.1996.30250000.x. Acta Physiol Scand. 1996. PMID: 8830900 Review. No abstract available.
-
Fly flight: a model for the neural control of complex behavior.Neuron. 2001 Nov 8;32(3):385-8. doi: 10.1016/s0896-6273(01)00490-1. Neuron. 2001. PMID: 11709150 Review.
Cited by
-
Dendritic end inhibition in large-field visual neurons of the fly.J Neurosci. 2013 Feb 20;33(8):3659-67. doi: 10.1523/JNEUROSCI.4136-12.2013. J Neurosci. 2013. PMID: 23426692 Free PMC article.
-
Contrast independent biologically inspired translational optic flow estimation.Biol Cybern. 2022 Dec;116(5-6):635-660. doi: 10.1007/s00422-022-00948-3. Epub 2022 Oct 27. Biol Cybern. 2022. PMID: 36303043 Free PMC article.
-
Preserving neural function under extreme scaling.PLoS One. 2013 Aug 19;8(8):e71540. doi: 10.1371/journal.pone.0071540. eCollection 2013. PLoS One. 2013. PMID: 23977069 Free PMC article.
-
Reciprocal inhibitory connections within a neural network for rotational optic-flow processing.Front Neurosci. 2007 Oct 15;1(1):111-21. doi: 10.3389/neuro.01.1.1.008.2007. eCollection 2007 Nov. Front Neurosci. 2007. PMID: 18982122 Free PMC article.
-
Maximally efficient prediction in the early fly visual system may support evasive flight maneuvers.PLoS Comput Biol. 2021 May 20;17(5):e1008965. doi: 10.1371/journal.pcbi.1008965. eCollection 2021 May. PLoS Comput Biol. 2021. PMID: 34014926 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous
