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

Lorincz, Andras (1997) Towards a unified model of cortical computation II: From control architecture to a model of consciousness. [Journal (Paginated)]

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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.

Item Type:Journal (Paginated)
Keywords:homunculus, reconstruction network, generative network, control
Subjects:Computer Science > Dynamical Systems
Neuroscience > Neural Modelling
Neuroscience > Computational Neuroscience
Computer Science > Machine Learning
Philosophy > Philosophy of Mind
Computer Science > Neural Nets
Computer Science > Artificial Intelligence
ID Code:2764
Deposited By:Lorincz, Prof Andras
Deposited On:10 Feb 2003
Last Modified:11 Mar 2011 08:55

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