A neuronal model of predictive coding accounting for the mismatch negativity

The mismatch negativity (MMN) is thought to index the activation of specialized neural networks for active prediction and deviance detection. However, a detailed neuronal model of the neurobiological mechanisms underlying the MMN is still lacking, and its computational foundations remain debated. We...

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Vydáno v:The Journal of neuroscience Ročník 32; číslo 11; s. 3665
Hlavní autoři: Wacongne, Catherine, Changeux, Jean-Pierre, Dehaene, Stanislas
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 14.03.2012
Témata:
Acoustic Stimulation - methods
Action Potentials - physiology
Auditory Cortex - physiology
Evoked Potentials, Auditory - physiology
Female
Humans
Male
Neural Networks (Computer)
Predictive Value of Tests
Young Adult
ISSN:1529-2401, 1529-2401
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Shrnutí:The mismatch negativity (MMN) is thought to index the activation of specialized neural networks for active prediction and deviance detection. However, a detailed neuronal model of the neurobiological mechanisms underlying the MMN is still lacking, and its computational foundations remain debated. We propose here a detailed neuronal model of auditory cortex, based on predictive coding, that accounts for the critical features of MMN. The model is entirely composed of spiking excitatory and inhibitory neurons interconnected in a layered cortical architecture with distinct input, predictive, and prediction error units. A spike-timing dependent learning rule, relying upon NMDA receptor synaptic transmission, allows the network to adjust its internal predictions and use a memory of the recent past inputs to anticipate on future stimuli based on transition statistics. We demonstrate that this simple architecture can account for the major empirical properties of the MMN. These include a frequency-dependent response to rare deviants, a response to unexpected repeats in alternating sequences (ABABAA…), a lack of consideration of the global sequence context, a response to sound omission, and a sensitivity of the MMN to NMDA receptor antagonists. Novel predictions are presented, and a new magnetoencephalography experiment in healthy human subjects is presented that validates our key hypothesis: the MMN results from active cortical prediction rather than passive synaptic habituation.
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ISSN:1529-2401
1529-2401
DOI:10.1523/JNEUROSCI.5003-11.2012