BCM Network develops Orientation Selectivity and Ocular
نویسندگان
چکیده
A t w o-eye visual environment is used in training a network of BCM neurons. We study the eeect of misalignment b e t w een the synaptic density functions from the two e y es, on the formation of orientation selectivity and ocular dominance in a lateral inhibition network. The visual environment w e use is composed of natural images. We show that for the BCM rule a natural image environment with binocular cortical misalignment is suucient for producing networks with orientation selective cells and ocular dominance columns. This work is an extension of our previous single cell misalignment model Shouval et al., 1996.
منابع مشابه
BCM network develops orientation selectivity and ocular dominance in natural scene environment
A two-eye visual environment is used in training a network of BCM neurons. We study the effect of misalignment between the synaptic density functions from the two eyes, on the formation of orientation selectivity and ocular dominance in a lateral inhibition network. The visual environment we use is composed of natural images. We show that for the BCM rule a natural image environment with binocu...
متن کاملEffect of binocular cortical misalignment on ocular dominance and orientation selectivity.
We model a two-eye visual environment composed of natural images and study its effect on single cell synaptic modification. In particular, we study the effect of binocular cortical misalignment on receptive field formation after eye opening. We show that binocular misalignment affects principal component analysis (PCA) and Bienenstock, Cooper, and Munro (BCM) learning in different ways. For the...
متن کاملDevelopment of Direction Selectivity Through Hebbian Modification
Zero-sum Hebbian learning rules that reinforce well correlated inputs have been used by others to model the competitive self-organization of afferents from the lateral geniculate nucleus to produce orientation selectivity and ocular dominance columns. However, the application of these simple Hebbian rules to the development of direction selectivity (DS) is problematic because the best correlate...
متن کاملDevelopment of joint ocular dominance and orientation selectivity maps in a correlation-based neural network model
A new correlation-based model for ocular dominance and orientation selectivity columns is proposed. This model can be used to obtain realistic maps for either the ocular dominance maps or orientation selectivity maps. It can also be used to generate joint maps that take into account the extra requirements related to the singularities of the orientation selectivity map and the relative angles of...
متن کاملThe Role of Constraints in the Development of Receptive Field Structure of Simple Cells Using BCM Learning
Experimentally studies have shown that visual cortical neurons apply BCM (Binenstock Cooper and Munro) learning rule for modifications in synaptic strength. BCM rule uses adaptive threshold and in this both long term potentiation (LTP) and long term depression (LTD) is automatically taken care of. This overcomes the major disadvantage of Hebbian learning in which there is a mechanism only for L...
متن کامل