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This work by Friedemann Pulvermüller from the MRC Cognition and Brain Sciences Unit explores neuronal grammar with a focus on activity states in language processing. Key states include ignition, reverberation, priming, and rest, illustrating how words and their features interact within neuronal networks. Examples are provided to demonstrate the criteria for string acceptance in sentences like "Betty gets up" versus "Up gets Betty," showcasing the dynamics of word webs and sequence detectors. The interconnectedness of neuronal activity emphasizes the complexity of language comprehension and production.
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Basic Bits of Neuronal Grammar Friedemann Pulvermüller MRC Cognition and Brain Sciences Unit Cambridge
Activity states: • Ignition -- full activation, momentary • Reverberation -- continuous enhanced activity following ignition • Priming -- “parasitic” activity caused by strongly connected sets • Rest -- inactivity
Activity states: • Darker colours denote reduced activity states
The representing elements: WORD WEBS SEQUENCE DETECTORS (SDs)
The sentence“Betty get up”will appear in the inputand will not be acceptedby the network
At time step 17, the 3 criteria for string acceptance were met: • All activated word webs were visible (i.e., reverberated at the highest reverberation level). • All activate word webs were satisfied (i.e., their set of sequence detectors reverberated at a high level). • All active sets were synchronized (I.e., participated in a continuous wave of ignitions).
The sentence“Up get Betty”will appear in the inputand will not be acceptedby the network
At time step 10, the 3 criteria for string acceptance were not met: • Only 1 word web was visible (the 2 others were at lower activity levels, R2 and R3; cf. darker colours). • No one of the 3 word webs was satisfied (SDs did not reverberate). • No final synchronization process.
The sentence“Up Betty get”will appear in the inputand will not be acceptedby the network