We propose a framework of neurocognitive experiments that clarifies the mathematical structure of experiments and can be used to analyze experimental results and to determine the limitation of their possible interpretation. In contrast to the conventional analysis that employs simple Boolean logic, the present analysis treats classification in terms of higher-order functions. We also predict the existence of a previously unidentified type of neuron.
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