Neurometric function
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In neuroscience, a Neurometric function is a mathematical formula relating the activity of brain cells to aspects of an animal's sensory experience or motor behavior. Neurometric functions provide a quantitative summary of the neural code of a particular brain region.
In sensory neuroscience, neurometric functions measure the probability with which a sensory stimulus would be perceived based on decoding the activity of a given neuron or collection of neurons.
The concept was introduced in a study of visual cortex, to investigate the visibility of visual stimuli [1]. Comparing neurometric functions to psychometric functions (by recording from neurons in the brain of the observer) can reveal whether the neural representation in the recorded region constrains perceptual accuracy[2] [3].
In motor neuroscience, neurometric functions are used to predict body movements from the activity of neuronal populations in regions such as motor cortex. Such neurometric functions are used in the design of brain-computer interfaces.
See also
References
- ^ Tolhurst, D.J.; Movshon, J.A.; Dean, A.F. (January 1983). "The statistical reliability of signals in single neurons in cat and monkey visual cortex". Vision Research. 23 (8): 775–785. doi:https://doi.org/10.1016/0042-6989(83)90200-6.
{{cite journal}}: Check|doi=value (help); External link in|doi= - ^ Newsome, W. T.; Britten, K. H.; Movshon, J. A. (1989-09-07). "Neuronal correlates of a perceptual decision". Nature. 341 (6237): 52–54. doi:10.1038/341052a0. ISSN 0028-0836. PMID 2770878.
- ^ Parker, A. J.; Newsome, W. T. (1998). "SENSE AND THE SINGLE NEURON: Probing the Physiology of Perception". Annual Review of Neuroscience. 21 (1): 227–277. doi:10.1146/annurev.neuro.21.1.227.
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