PIIS089662731930337X.pdf (3.31 MB)
A retinal circuit generating a dynamic predictive code for oriented features
Version 2 2023-06-12, 09:04
Version 1 2023-06-09, 17:28
journal contribution
posted on 2023-06-12, 09:04 authored by Jamie Johnston, Sofie-Helene Seibel, Léa Simone Adele Darnet, Sabine Renninger, Michael Orger, Leon LagnadoLeon LagnadoSensory systems must reduce the transmission of redundant information to function efficiently. One strategy is to continuously adjust the sensitivity of neurons to suppress responses to common features of the input while enhancing responses to new ones. Here we image the excitatory synaptic inputs and outputs of retinal ganglion cells to understand how such dynamic predictive coding is implemented in the analysis of spatial patterns. Synapses of bipolar cells become tuned to orientation through presynaptic inhibition generating lateral antagonism in the orientation domain. Individual ganglion cells receive excitatory synapses tuned to different orientations but feedforward inhibition generates a high-pass filter that only transmits the initial activation of these inputs, thereby removing redundancy. These results demonstrate how a dynamic predictive code can be implemented by circuit motifs common to many parts of the brain.
Funding
Synaptic computation in the visual system; G1321; WELLCOME TRUST; 102905/Z/13/Z
History
Publication status
- Published
File Version
- Published version
Journal
NeuronISSN
0896-6273Publisher
ElsevierExternal DOI
Issue
6Volume
102Page range
1211-1222Department affiliated with
- Neuroscience Publications
Research groups affiliated with
- Sussex Neuroscience Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2019-04-03First Open Access (FOA) Date
2019-06-03First Compliant Deposit (FCD) Date
2019-04-03Usage metrics
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