ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
13
views
0
references
Top references
cited by
38
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
2,661
similar
All similar
Record
: found
Abstract
: not found
Article
: not found
A computational analysis of the neural bases of Bayesian inference
Author(s):
Antonio Kolossa
,
Bruno Kopp
,
Tim Fingscheidt
Publication date:
2015-02-01
Journal:
Neuroimage
Publisher:
Elsevier BV
Read this article at
ScienceOpen
Publisher
PubMed
Review
Review article
Invite someone to review
Bookmark
Cite as...
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Computational epistasis
Author and article information
Journal
DOI::
10.1016/j.neuroimage.2014.11.007
PubMed ID::
25462794
License:
https://www.elsevier.com/tdm/userlicense/1.0/
Data availability:
Comments
Comment on this article
Sign in to comment
scite_
Similar content
2,661
Bayesian Chronological Modeling of SunWatch, a Fort Ancient Village in Dayton, Ohio
Authors:
Anthony M Krus
,
Robert J. Cook
,
Derek Hamilton
Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE)
Authors:
Ricardo Vêncio
,
Helena Brentani
,
Diogo Patrão
…
A Bayesian statistics tutorial for clinical research: Prior distributions and meaningful results for small clinical samples.
Authors:
Caroline Larson
,
David Kaplan
,
Teresa Girolamo
…
See all similar
Cited by
36
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
Authors:
Nicolas Frémaux
,
Wulfram Gerstner
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules
Authors:
Wulfram Gerstner
,
Marco Lehmann
,
Vasiliki Liakoni
…
Balancing New against Old Information: The Role of Puzzlement Surprise in Learning
Authors:
Mohammadjavad Faraji
,
Kerstin Preuschoff
,
Wulfram Gerstner
See all cited by
Version 1
- Current
Version 1