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Towards a unified model of cortical computation II: From control architecture to a model of consciousness

By Andras Lorincz

Abstract

The recently introduced Static and Dynamic State (SDS) Feedback control scheme together with its modified form, the Data Compression and Reconstruction (DCR) architecture that performs pseudoinverse computation, suggests a unified model of cortical processing including consciousness. The constraints of the model are outlined were and the features of the cortical architecture that are suggested and sometimes dictated by these constraints are listed. Constraints are imposed on cortical layers, e.g., (1) the model prescribes a connectivity substructure that is shown to fit the main properties of the `basic neural circuit' of the cerebral cortex (Shepherd and Koch, 1990, Douglas and Martin 1990). In: The synaptic organization of the brain, Oxford University Press, 1990), and (2) the stability requirements of the pseudoinverse method offer an explanation for the columnar organization of the cortex. Constraints are also imposed on the hierarchy of cortical areas, e.g., the proposed control architecture requires computations of the control variables belonging to both the `desired' and the experienced' moves as well as a `sign-proper' separation of feedback channels that fit known properties of the basal ganglia -- thalamocortical loops (Lorincz, 1997). An outline is given as to how the DCR scheme can be extended towards a model for consciousness that can deal with the `homunculus fallacy' by resolving the fallacy and saving he homunculus as an inherited and learnt partially ordered list of preferences

Topics: Dynamical Systems, Neural Modelling, Computational Neuroscience, Machine Learning, Philosophy of Mind, Neural Nets, Artificial Intelligence
Year: 1997
OAI identifier: oai:cogprints.org:2764
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