Related Experiment Video
Updated: Jun 25, 2026
26:41
Perspectives on Neuroscience
Published on: July 31, 2007
Representationalism can connect neuroscience and philosophy.
1Psychology Department, Brain and Cognition Group, University of Amsterdam, Amsterdam, Netherlands.
Frontiers in Cognition
|June 24, 2026
Summary
This study proposes a unified theory of memory representations to explain conscious perception. It suggests conscious experience arises from retrieving explicit memory, integrating philosophy of mind with neurocognitive theories.
Area of Science:
- Cognitive Neuroscience
- Philosophy of Mind
- Memory Studies
Background:
- Representationalism posits perception is mediated by mental representations, not direct reality.
- Existing theories often separate explicit and implicit memory, hindering a unified view.
- Reconciling neuroscientific and philosophical perspectives on consciousness remains a challenge.
Purpose of the Study:
- To define mental representations within a unified theory of long-term memory.
- To explore how this unified theory can bridge neuroscience and philosophy of mind.
- To address debates on consciousness, intentionality, emergence, and qualia.
Main Methods:
- Developing a unified theory of long-term memory (explicit and implicit).
- Applying this framework to representational systems.
- Analyzing concepts like consciousness, intentionality, emergence, and qualia.
Main Results:
- Conscious experience is linked to the retrieval of explicit memory representations into short-term memory.
- Intentionality is defined by memory representations, encompassing both "what it is" and "what it is like".
- Emergence and qualia are integral to consciousness, arising from memory-emotion interactions in neuro-affective networks.
Conclusions:
- A unified theory of memory representations can harmonize philosophy of mind and neurocognitive theories.
- Consciousness, intentionality, emergence, and qualia are explained through multilevel memory networks.
- This non-reductionist approach integrates subjective experience with large-scale brain systems.
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