Neuronal variability and tuning are balanced to optimize naturalistic self-motion coding in primate vestibular pathways
Autor: | Annie Kwan, Diana E. Mitchell, Kathleen E. Cullen, Maurice J. Chacron, Jerome Carriot |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Male Primates QH301-705.5 Computer science Science Models Neurological neural coding Stimulus (physiology) General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Motion 0302 clinical medicine biology.animal Neural Pathways Rhesus macaque medicine Self motion Animals Primate Biology (General) Decorrelation Vestibular system Neurons Information transmission vestibular General Immunology and Microbiology biology General Neuroscience General Medicine Macaca mulatta Sensory neuron sensory signals Macaca fascicularis 030104 developmental biology medicine.anatomical_structure Head Movements Medicine natural stimulation Vestibule Labyrinth Neural coding Neuroscience 030217 neurology & neurosurgery Algorithms Research Article |
Zdroj: | eLife eLife, Vol 7 (2018) |
ISSN: | 2050-084X |
Popis: | It is commonly assumed that the brain’s neural coding strategies are adapted to the statistics of natural stimuli. Specifically, to maximize information transmission, a sensory neuron’s tuning function should effectively oppose the decaying stimulus spectral power, such that the neural response is temporally decorrelated (i.e. ‘whitened’). However, theory predicts that the structure of neuronal variability also plays an essential role in determining how coding is optimized. Here, we provide experimental evidence supporting this view by recording from neurons in early vestibular pathways during naturalistic self-motion. We found that central vestibular neurons displayed temporally whitened responses that could not be explained by their tuning alone. Rather, computational modeling and analysis revealed that neuronal variability and tuning were matched to effectively complement natural stimulus statistics, thereby achieving temporal decorrelation and optimizing information transmission. Taken together, our findings reveal a novel strategy by which neural variability contributes to optimized processing of naturalistic stimuli. |
Databáze: | OpenAIRE |
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