Retinal waves but not visual experience are required for development of retinal direction selectivity maps
Tiriac, A.; Bistrong, K.; Feller, M.
Show abstract
Retinal waves and visual experience have been implicated in the formation of retinotopic and eye-specific maps throughout the visual system, but whether either play a role in the development of the maps within the retina itself is unknown. We explore this question using direction-selective retinal ganglion cells, which are organized into a map that aligns to the body and gravitational axes of optic flow. Using two-photon population calcium imaging, we find that the direction selectivity map is present at eye opening and is unaltered by dark-rearing. Remarkably, the horizontal component of the direction selectivity map is absent in mice lacking normal retinal waves, whereas the vertical component remains normal. These results indicate that intrinsic patterns of activity, rather than extrinsic motion signals are critical for the establishment of direction selectivity maps in the retina. One Sentence SummaryHorizontal direction selectivity in the retina is absent in mice lacking normal retinal waves.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- The cell adhesion molecule Sdk1 shapes assembly of a retinal circuit that detects localized edges. 97%
- Developmental plasticity in visual cortex is necessary for normal visuomotor integration and visuomotor skill learning 96%
- Connectomic analysis reveals an interneuron with an integral role in the retinal circuit for night vision 96%
Similar papers in this journal
- Parallel pathways carrying direction and orientation selective retinal signals to layer 4 of mouse visual cortex 97%
- Visual experience instructs dendrite orientation but is not required for asymmetric wiring of the retinal direction selective circuit. 97%
- Antagonistic center-surround mechanisms for direction selectivity in the retina 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.