TY  - INPR
A1  - Seeliger, Norman
A1  - Triesch, Jochen
T1  - A computational model of the effect of short-term monocular deprivation on binocular rivalry in the context of amblyopia
T2  - bioRxiv
N2  - Treatments for amblyopia focus on vision therapy and patching of one eye. Predicting the success of these methods remains difficult, however. Recent research has used binocular rivalry to monitor visual cortical plasticity during occlusion therapy, leading to a successful prediction of the recovery rate of the amblyopic eye. The underlying mechanisms and their relation to neural homeostatic plasticity are not known. Here we propose a spiking neural network to explain the effect of short-term monocular deprivation on binocular rivalry. The model reproduces perceptual switches as observed experimentally. When one eye is occluded, inhibitory plasticity changes the balance between the eyes and leads to longer dominance periods for the eye that has been deprived. The model suggests that homeostatic inhibitory plasticity is a critical component of the observed effects and might play an important role in the recovery from amblyopia.
KW  - Amblyopia
KW  - Binocular Rivalry
KW  - Neural Network
KW  - Plasticity
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/72913
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-729133
IS  - 2021.07.31.453675
ER  -