DIRECTIONAL FILLING-IN

The filling-in theory of brightness perception has gained much attenti on recently owing to the success of vision models. However, the theory and its instantiations have suffered from incorrectly dealing with tr ansitive brightness relations. This paper describes an advance in the filling-in theory that overcomes the problem. The advance is incorpora ted into the BCS/FCS neural network model, which allows it, for the fi rst time, to account for all of Arend's test stimuli for assessing bri ghtness perception models. The theory also suggests a new teleology fo r parallel ON- and OFF-channels.