  This paper focuses on a specific aspect of human visual discrimination from
computationally generated solutions for CAAD ends. The bottleneck at work here
concern informational ratios of discriminative rates over generative ones. The
amount of information that can be brought to a particular sensory modality for
human perception is subject to bandwidth and dimensional limitations. This
problem is well known in Brain-Computer Interfaces, where the flow of relevant
information must be maintained through such interaction for applicative ends
and adoption of use in many fields of human activity. While architectural
modeling conveys a high level of complexity in its processes, let alone in the
presentation of its generated design solutions, promises in applicative
potentials of such interfaces must be made aware of these fundamental issues
and need developments of appropriate sophistication. This paper addresses this
informational bottleneck by introducing a method to retrieve spatial
information from the rapid serial visual presentation of generated pictures.
This method will be explained and defined as inverse modeling, based on inverse
graphics, and its relation to human visual processing.
