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This paper focuses on a specific aspect of human visual discrimination from computationally generated solutions. The bottleneck at work here concerns 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 both bandwidth and dimensional limitations. This particular problem is well known in the field of 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 cannot escape from such basic issues and need developments of appropriate sophistication. This paper will address this informational bottleneck by introducing methods to retrieve spatial information from the rapid serial visual presentation of generated pictures. This method will be explained and defined as an inverse modeling method based on inverse graphics and its relation to human visual processing.