Neurometric function
 | This article, Neurometric function, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
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, examples of neurometric functions include tuning curves, such as formulae relating the firing rate of a single neuron in visual cortex to the contrast of a visual stimulus [1]. Comparing neurometric functions to psychometric functions can reveal whether the neural representation in the recorded region constrains perceptual accuracy [2].
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= - ^ 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.