RT Journal Article
SR Electronic
T1 A retinal circuit generating a dynamic predictive code for orientated features
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 331504
DO 10.1101/331504
A1 Jamie Johnston
A1 Sofie-Helene Seibel
A1 Léa Simone Adele Darnet
A1 Sabine Renninger
A1 Michael Orger
A1 Leon Lagnado
YR 2018
UL http://biorxiv.org/content/early/2018/06/05/331504.abstract
AB 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 both 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.