A hierarchical neuronal model for generation and online recognition of birdsongs.
The neuronal system underlying learning, generation and recognition of song in birds is one of the best-studied systems in the neurosciences. Here, we use these experimental findings to derive a neurobiologically plausible, dynamic, hierarchical model of birdsong generation and transform it into a f...
Main Authors: | Izzet B Yildiz, Stefan J Kiebel |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2011-12-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC3240584?pdf=render |
Similar Items
-
From birdsong to human speech recognition: bayesian inference on a hierarchy of nonlinear dynamical systems.
by: Izzet B Yildiz, et al.
Published: (2013-01-01) -
Initial Studies and Analysis of Birdsong Recognition
by: Ching-Yu Yang, et al.
Published: (2006) -
Mirror neurons, birdsong and human language: a hypothesis
by: Florence eLevy
Published: (2012-01-01) -
Neuroscience of birdsong
by: Stumpf Michael
Published: (2009-12-01) -
Using Block Type Genetic Programming to Birdsong Recognition
by: Meng-Hsun Chuang, et al.
Published: (2008)