Thinking too complicated? Neuronal activity is far more predictable than assumed

How sensitive are neuronal networks to external interference? To what extent are neuronal network processes including the thinking patterns of the brain predefined? These questions have been investigated by Sven Jahnke, Raoul-Martin Memmesheimer and Marc Timme at the Bernstein Center for Computational Neuroscience and the Max Planck Institute for Dynamics and Self-Organisation. They have found that, under certain conditions, neuronal networks are more predictable than was previously assumed (Physical Review Letters, Feb. 1st, 2008).

If you want to include this story in your blog, copy and paste this formatted text:

<p><a href="http://www.physorg.com/news121353063.html">Thinking too complicated? Neuronal activity is far more predictable than assumed</a></p> <p>How sensitive are neuronal networks to external interference? To what extent are neuronal network processes including the thinking patterns of the brain predefined? These questions have been investigated by Sven Jahnke, Raoul-Martin Memmesheimer and Marc Timme at the Bernstein Center for Computational Neuroscience and the Max Planck Institute for Dynamics and Self-Organisation. They have found that, under certain conditions, neuronal networks are more predictable than was previously assumed (<i>Physical Review Letters</i>, Feb. 1st, 2008).</p>