Topological Computation in Living Biological Tissue A Framework for Learning and Selective Transfer (CTTBV)

Topological Computation in Living Biological Tissue A Framework for Learning and Selective Transfer (CTTBV) Living neural tissue can be studied as an adaptive physical information-processing system, but useful output, persistent activity, and externally assisted performance are different outcomes. This preprint presents the conceptual architecture of CTTBV v4.0, a multilayer framework for biological computation, recoverable memory, multidimensional cellular adaptation, and selective biological–digital transfer. Its core links controlled inputs, observable tissue dynamics, plasticity, and independent task evaluation.