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

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Highly irregular activity in neuronal networks. Top panel: Sequence of neuronal signals of 40 neurons belonging to a larger network. Bottom panel: complex temporal dynamic of a neuron and the impulses generated by it. Image: Sven Jahnke Raoul-Martin ...
Highly irregular activity in neuronal networks. Top panel: Sequence of neuronal signals of 40 neurons belonging to a larger network. Bottom panel: complex temporal dynamic of a neuron and the impulses generated by it. Image: Sven Jahnke, Raoul-Martin Memmesheimer and Marc Timme, Max Planck Institute for Dynamics and Self-Organization
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).


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