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Qualia could arise from information processing in local cortical networks

Roger D Orpwood

Frontiers in Psychology May 22, 2014 DOI: 10.3389/fpsyg.2013.00121 (opens in new tab) via DOAJ

Summary

AI-generated from the abstract

Re-entrant feedback within sensory cortex or from prefrontal areas is strongly linked to the emergence of consciousness. This paper examines how local cortical networks process information under re-entrant activation, distinguishing between information structure (physical embodiment) and information message (content). It shows that if feedback enables an attractor state, the message assigned in each pass represents the previous pass's message. As information cycles repeatedly, the assigned message evolves from recognizing what the input structure is, to what it is like, how it appears, and how it seems, potentially enabling individual networks to generate qualia. Networks in cortical layers 2/3 and 5a have the required connectivity, and evidence links such cyclic activity to conscious percepts.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Information processing Qualia Oscillatory activity Re-entrant feedback Local cortical network
Key finding Argues that re-entrant feedback enabling attractor states in local cortical networks could allow qualia generation by evolving information messages from recognition of input structure to subjective appearance.

Abstract

Re-entrant feedback, either within sensory cortex or arising from prefrontal areas, has been strongly linked to the emergence of consciousness, both in theoretical and experimental work. This idea, together with evidence for local micro-consciousness, suggests the generation of qualia could in some way result from local network activity under re-entrant activation. This paper explores the possibility by examining the processing of information by local cortical networks. It highlights the difference between the information structure (how the information is physically embodied), and the information message (what the information is about). It focuses on the network’s ability to recognise information structures amongst its inputs under conditions of extensive local feedback, and to then assign information messages to those structures. It is shown that if the re-entrant feedback enables the network to achieve an attractor state, then the message assigned in any given pass of information through the network is a representation of the message assigned in the previous pass-through of information. Based on this ability the paper argues that as information is repeatedly cycled through the network, the information message that is assigned evolves from a recognition of what the input structure is, to what it is like, to how it appears, to how it seems. It could enable individual networks to be the site of qualia generation. The paper goes on to show networks in cortical layers 2/3 and 5a have the connectivity required for the behaviour proposed, and reviews some evidence for a link between such local cortical cyclic activity and conscious percepts. It concludes with some predictions based on the theory discussed.

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