Editing Computational neuroscience (section)

===Sensory processing===
Early models on sensory processing understood within a theoretical framework are credited to [[Horace Barlow]]. Somewhat similar to the minimal wiring hypothesis described in the preceding section, Barlow understood the processing of the early sensory systems to be a form of  [[efficient coding hypothesis|efficient coding]], where the neurons encoded information which minimized the number of spikes. Experimental and computational work have since supported this hypothesis in one form or another.  For the example of visual processing, efficient coding is manifested in the
forms of efficient spatial coding, color coding, temporal/motion coding,  stereo coding, and combinations of them.<ref>Zhaoping L. 2014, [https://www.oxfordscholarship.com/view/10.1093/acprof:oso/9780199564668.001.0001/acprof-9780199564668-chapter-3 The efficient coding principle ], chapter 3, of the textbook [https://global.oup.com/academic/product/understanding-vision-9780198829362?cc=de&lang=en& Understanding vision: theory, models, and data ]</ref>

Further along the visual pathway, even the efficiently coded visual information is too much for the capacity of the information bottleneck, the visual attentional bottleneck.<ref>see visual spational attention https://en.wikipedia.org/wiki/Visual_spatial_attention</ref> A subsequent theory, [[V1 Saliency Hypothesis|V1 Saliency Hypothesis (V1SH)]], has been developed on exogenous attentional selection of a fraction of visual input for further processing, guided by a bottom-up saliency map in the primary visual cortex.<ref name=Li2002>Li. Z. 2002 [https://www.sciencedirect.com/science/article/abs/pii/S1364661300018179 A saliency map in primary visual cortex] Trends in Cognitive Sciences
vol. 6, Pages 9-16, and Zhaoping, L. 2014, [https://www.oxfordscholarship.com/view/10.1093/acprof:oso/9780199564668.001.0001/acprof-9780199564668-chapter-5 The V1 hypothesis—creating a bottom-up saliency map for preattentive selection and segmentation]  in the book [https://www.oxfordscholarship.com/view/10.1093/acprof:oso/9780199564668.001.0001/acprof-9780199564668 Understanding Vision: Theory, Models, and Data]</ref>

Current research in sensory processing is divided among a biophysical modeling of different subsystems and a more theoretical modeling of perception. Current models of perception have suggested that the brain performs some form of [[Bayesian approaches to brain function|Bayesian inference]] and integration of different sensory information in generating our perception of the physical world.<ref>{{cite journal|last1=Weiss|first1=Yair|last2=Simoncelli|first2=Eero P.|last3=Adelson|first3=Edward H.|title=Motion illusions as optimal percepts|journal=Nature Neuroscience|date=20 May 2002|volume=5|issue=6|pages=598–604|doi=10.1038/nn0602-858|pmid=12021763|s2cid=2777968}}</ref><ref>{{cite journal|last1=Ernst|first1=Marc O.|last2=Bülthoff|first2=Heinrich H.|title=Merging the senses into a robust percept|journal=Trends in Cognitive Sciences|date=April 2004|volume=8|issue=4|pages=162–169|doi=10.1016/j.tics.2004.02.002|pmid=15050512|citeseerx=10.1.1.299.4638|s2cid=7837073}}</ref>