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Abstract rules drive adaptation in the subcortical sensory pathway

MPG-Autoren
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Tabas,  Alejandro
Faculty of Psychology, TU Dresden, Germany;
Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Mihai,  Paul Glad
Faculty of Psychology, TU Dresden, Germany;
Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Trampel,  Robert
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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von Kriegstein,  Katharina
Faculty of Psychology, TU Dresden, Germany;
Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Zitation

Tabas, A., Mihai, P. G., Kiebel, S., Trampel, R., & von Kriegstein, K. (2020). Abstract rules drive adaptation in the subcortical sensory pathway. eLife, 9: e64501. doi:10.7554/eLife.64501.


Zitierlink: https://hdl.handle.net/21.11116/0000-0008-13C7-2
Zusammenfassung
The subcortical sensory pathways are the fundamental channels for mapping the outside world to our minds. Sensory pathways efficiently transmit information by adapting neural responses to the local statistics of the sensory input. The long-standing mechanistic explanation for this adaptive behaviour is that neural activity decreases with increasing regularities in the local statistics of the stimuli. An alternative account is that neural coding is directly driven by expectations of the sensory input. Here, we used abstract rules to manipulate expectations independently of local stimulus statistics. The ultra-high-field functional-MRI data show that abstract expectations can drive the response amplitude to tones in the human auditory pathway. These results provide first unambiguous evidence of abstract processing in a subcortical sensory pathway. They indicate that the neural representation of the outside world is altered by our prior beliefs even at initial points of the processing hierarchy.