F-I curve
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In neuroscience, a frequency-current curve (fI or F-I curve) is the function that relates the net synaptic current (I) flowing into a neuron to its firing rate (F)[1][2] Because the f-I curve only specifies the firing rate rather than exact spike times, it is a concept suited to the rate coding rather than temporal coding model of neuronal computation. Common mathematical models for f-I include the sigmoid, exponential, and rectified linear functions.
The experimental study of how neuronal firing rates can relate to applied currents goes back at least as far as Hodgkin.[3]
References
[edit]- ^ Troyer, Todd W.; Miller, Kenneth D. (1997). "Integrate-and-Fire Neurons Matched to Physiological F-I Curves Yield High Input Sensitivity and Wide Dynamic Range". In Bower, James M. (ed.). Computational Neuroscience. Springer US. pp. 197–201. doi:10.1007/978-1-4757-9800-5_32. ISBN 978-1-4757-9802-9.
- ^ Cardin, Jessica A.; Palmer, Larry A.; Contreras, Diego (2008-07-10). "Cellular mechanisms underlying stimulus-dependent gain modulation in primary visual cortex neurons in vivo". Neuron. 59 (1): 150–160. doi:10.1016/j.neuron.2008.05.002. PMC 2504695. PMID 18614036.
- ^ Hodgkin, AL (15 March 1948). "The local electric changes associated with repetitive action in a non-medullated axon". The Journal of Physiology. 107 (2): 165–81. doi:10.1113/jphysiol.1948.sp004260. PMC 1392160. PMID 16991796.
- ^ Ermentrout, B. (1998-10-01). "Linearization of F-I curves by adaptation". Neural Computation. 10 (7): 1721–1729. doi:10.1162/089976698300017106. PMID 9744894. S2CID 14122918.
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