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 here 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, 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. 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 the homunculus as an inherited and learnt partially ordered list of preferences.
|Number of pages||16|
|Journal||Neural Network World|
|Publication status||Published - Jan 1 1997|
ASJC Scopus subject areas
- Hardware and Architecture
- Artificial Intelligence