A retinal circuit generating a dynamic predictive code for oriented features

Johnston, Jamie, Seibel, Sofie-Helene, Darnet, Léa Simone Adele, Renninger, Sabine, Orger, Michael and Lagnado, Leon (2019) A retinal circuit generating a dynamic predictive code for oriented features. Neuron. ISSN 0896-6273

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Abstract

Sensory 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.

Item Type: Article
Schools and Departments: School of Life Sciences > Neuroscience
Research Centres and Groups: Sussex Neuroscience
Depositing User: Leon Lagnado
Date Deposited: 03 Apr 2019 13:52
Last Modified: 01 Jul 2019 14:00
URI: http://sro.sussex.ac.uk/id/eprint/82971

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Project NameSussex Project NumberFunderFunder Ref
Synaptic computation in the visual systemG1321WELLCOME TRUST102905/Z/13/Z