A learning rule to model the development of orientation selectivity in visual cortex

This paper presents a learning rule, CBA, to develop oriented receptive fields similar to those founded in cat striate cortex. The inherent complexity of the development of selectivity in visual cortex has led most authors to test their models by using a restricted input environment. Only recently, some learning rules (PCA and BCM rules) have been studied in a realistic visual environment. The CBA rule proposed in this work is tested in different input visual environments and the results are compared to those achieved by the BCM and PCA rules. The final results show that the CBA rule is appropriate for studying the biologically process of receptive field formation in visual cortex.