Emergent Orientation Selectivity from Random Networks in Mouse Visual Cortex

1. Cell Rep. 2018 Aug 21;24(8):2042-2050.e6. doi: 10.1016/j.celrep.2018.07.054.

Emergent Orientation Selectivity from Random Networks in Mouse Visual Cortex.

Pattadkal JJ(1), Mato G(2), van Vreeswijk C(3), Priebe NJ(1), Hansel D(4).

Author information:
(1)Center for Perceptual Systems and Center for Learning and Memory, The
University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA.
(2)Centro Atomico Bariloche and Instituto Balseiro, CNEA and CONICET, 8400
Bariloche, Rio Negro, Argentina.
(3)Center of Neurophysics, Physiology and Pathologies, CNRS-UMR8119, 45 Rue des
Saints-Pères, 75270 Paris, France.
(4)Center of Neurophysics, Physiology and Pathologies, CNRS-UMR8119, 45 Rue des
Saints-Pères, 75270 Paris, France. Electronic address:
.

The connectivity principles underlying the emergence of orientation selectivity
in primary visual cortex (V1) of mammals lacking an orientation map (such as
rodents and lagomorphs) are poorly understood. We present a computational model
in which random connectivity gives rise to orientation selectivity that matches
experimental observations. The model predicts that mouse V1 neurons should
exhibit intricate receptive fields in the two-dimensional frequency domain,
causing a shift in orientation preferences with spatial frequency. We find
evidence for these features in mouse V1 using calcium imaging and intracellular
whole-cell recordings.

Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

DOI: 10.1016/j.celrep.2018.07.054
PMCID: PMC6179374
PMID: 30134166 [Indexed for MEDLINE]

Conflict of interest statement: DECLARATION OF INTERESTS The authors declare no
competing interests.

Auteurs Bordeaux Neurocampus