ClarkCC2017PredictionsPrecisionAndAgentiveAttention.pdf (164.85 kB)
Download filePredictions, precision, and agentive attention
The use of forward models (mechanisms that predict the future state of a system) is well established in cognitive and computational neuroscience. We compare and contrast two recent, but interestingly divergent, accounts of the place of forward models in the human cognitive architecture. On the Auxiliary Forward Model (AFM) account, forward models are special-purpose prediction mechanisms implemented by additional circuitry distinct from core mechanisms of perception and action. On the Integral Forward Model (IFM) account, forward models lie at the heart of all forms of perception and action. We compare these neighbouring but importantly different visions and consider their implications for the cognitive sciences. We end by asking what kinds of empirical research might offer evidence favouring one or the other of these approaches.
Funding
ERC Advanced Grant XSPECT; ERC; DLV-692739
History
Publication status
- Published
File Version
- Accepted version
Journal
Consciousness and CognitionISSN
1053-8100Publisher
ElsevierExternal DOI
Volume
56Page range
115-119Department affiliated with
- Philosophy Publications
Full text available
- Yes
Peer reviewed?
- Yes