Now showing items 1-5 of 5
A framework for integrating the songbird brain.
(J Comp Physiol A Neuroethol Sens Neural Behav Physiol, 2002-12)
Biological systems by default involve complex components with complex relationships. To decipher how biological systems work, we assume that one needs to integrate information over multiple levels of complexity. The songbird ...
Advances to Bayesian network inference for generating causal networks from observational biological data.
MOTIVATION: Network inference algorithms are powerful computational tools for identifying putative causal interactions among variables from observational data. Bayesian network inference algorithms hold particular promise ...
Avian brains and a new understanding of vertebrate brain evolution.
(Nat Rev Neurosci, 2005-02)
We believe that names have a powerful influence on the experiments we do and the way in which we think. For this reason, and in the light of new evidence about the function and evolution of the vertebrate brain, an international ...
Revised nomenclature for avian telencephalon and some related brainstem nuclei.
(J Comp Neurol, 2004-05-31)
The standard nomenclature that has been used for many telencephalic and related brainstem structures in birds is based on flawed assumptions of homology to mammals. In particular, the outdated terminology implies that most ...
Computational inference of neural information flow networks.
(PLoS Comput Biol, 2006-11-24)
Determining how information flows along anatomical brain pathways is a fundamental requirement for understanding how animals perceive their environments, learn, and behave. Attempts to reveal such neural information flow ...