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Cite error - ref name “barlow” defined multiple times. Fixed. (barlow1997 "MolnarHsueh2009") |
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the visual system always remain within a much narrower range of amplitudes.<ref name=Ferster>{{cite news
| title = A New Mechanism for Neuronal Gain Control
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| year = 2002
| volume = 35
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[[Linear algebra|Linear]] systems are easier to analyze mathematically. Linearity may occur in the basic elements of a neural circuit such as the response of a postsynaptic neuron, or as an emergent property of a combination of nonlinear subcircuits.<ref name="MolnarHsueh2009">{{cite journal|last1=Molnar|first1=Alyosha|last2=Hsueh|first2=Hain-Ann|last3=Roska|first3=Botond|last4=Werblin|first4=Frank S.|title=Crossover inhibition in the retina: circuitry that compensates for nonlinear rectifying synaptic transmission|journal=Journal of Computational Neuroscience|volume=27|issue=3|year=2009|pages=569–590|issn=0929-5313|doi=10.1007/s10827-009-0170-6 | pmid = 19636690}}</ref>
==Examples==
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Indeed, measurements of the transfer functions of neurons in the [[horseshoe crab]] retina according to linear systems analysis show that they remove short-term fluctuations in input signals leaving only the long-term trends, in the manner of low-pass filters. These animals are unable to see low-contrast objects without the help of optical distortions caused by underwater currents.<ref name=barlow1993>{{cite journal
| title = The Neural Network of the Limulus Retina: From Computer to Behavior
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| year = 1993
| volume = 33
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| doi = 10.1007/BF00319520
| title = Stationary States of the Hartline–Ratliff Model
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| year = 1987
| volume = 56
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