Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Coding theory
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
==Neural coding== [[Neural coding]] is a [[neuroscience]]-related field concerned with how sensory and other information is represented in the [[brain]] by [[neural network|networks]] of [[neurons]]. The main goal of studying neural coding is to characterize the relationship between the [[Stimulus (physiology)|stimulus]] and the individual or ensemble neuronal responses and the relationship among electrical activity of the neurons in the ensemble.<ref name="Brown">{{cite journal |vauthors=Brown EN, Kass RE, Mitra PP |title=Multiple neural spike train data analysis: state-of-the-art and future challenges |journal=Nature Neuroscience |volume=7 |issue=5 |pages=456β461 |date=May 2004 | url = http://www.stat.columbia.edu/~liam//teaching/neurostat-fall13/papers/brown-et-al/brown-kass-mitra.pdf |pmid=15114358 |doi=10.1038/nn1228 |s2cid=562815 }}</ref> It is thought that neurons can encode both [[Digital data|digital]] and [[analog signal|analog]] information,<ref>{{cite book |first=S.J. |last=Thorpe |chapter=Spike arrival times: A highly efficient coding scheme for neural networks |chapter-url=http://pop.cerco.ups-tlse.fr/fr_vers/documents/thorpe_sj_90_91.pdf |format=PDF |pages=91β94 |editor1-first=R. |editor1-last=Eckmiller |editor2-first=G. |editor2-last=Hartmann |editor3-first=G. |editor3-last=Hauske | editor3-link= Gert Hauske |title=Parallel processing in neural systems and computers |url=https://books.google.com/books?id=b9gmAAAAMAAJ |access-date=30 June 2013 |year=1990 |publisher=North-Holland |isbn=978-0-444-88390-2}}</ref> and that neurons follow the principles of information theory and compress information,<ref>{{cite journal |first1=T. |last1=Gedeon |first2=A.E. |last2=Parker |first3=A.G. |last3=Dimitrov |title=Information Distortion and Neural Coding |journal=Canadian Applied Mathematics Quarterly |volume=10 |issue=1 |pages=10 |date=Spring 2002 |url=http://www.math.ualberta.ca/ami/CAMQ/table_of_content/vol_10/10_1c.htm |citeseerx=10.1.1.5.6365 |access-date=2013-06-30 |archive-date=2016-11-17 |archive-url=https://web.archive.org/web/20161117220131/http://www.math.ualberta.ca/ami/CAMQ/table_of_content/vol_10/10_1c.htm |url-status=dead }}</ref> and detect and correct<ref> {{cite journal |first=M. |last=Stiber |title=Spike timing precision and neural error correction: local behavior |journal=Neural Computation |volume=17 |issue=7 |pages=1577β1601 |date=July 2005 |doi=10.1162/0899766053723069 |pmid=15901408 |arxiv=q-bio/0501021|s2cid=2064645 }} </ref> errors in the signals that are sent throughout the brain and wider nervous system.
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)