Chaos in the mind
From CasGroup
(→Chaos and the point of view) |
(→Chaos and the point of view) |
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even a single neuron can show complex (for | even a single neuron can show complex (for | ||
instance spiking and bursting) or even chaotic behavior. | instance spiking and bursting) or even chaotic behavior. | ||
| + | The differential equations for single Neurons can show | ||
| + | chaotic behavior (Hodgkin-Huxley model, | ||
| + | Fitz-Hugh-Nagumo model,..). Bursting of neurons | ||
| + | can be described by bifurcation theory. | ||
Neural networks are inherently complex because | Neural networks are inherently complex because | ||
every connection involves a merging and splitting | every connection involves a merging and splitting | ||
operation. When the brain processes information, | operation. When the brain processes information, | ||
in every step the previous state is merged and splitted | in every step the previous state is merged and splitted | ||
| - | in complex ways. | + | in complex ways. It we consider the overall network, |
| + | for example with an EEG, then we see that EEG data | ||
| + | apparently is chaotic. | ||
Yet on the psychological level, chaos seems to | Yet on the psychological level, chaos seems to | ||
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If you go from the bottom (neuroscience) to the | If you go from the bottom (neuroscience) to the | ||
top, everything seems to be complex, chaotic and involved | top, everything seems to be complex, chaotic and involved | ||
| - | in chaos. If you look from top (psychology) to | + | in chaos, from the attempt to describe even a single neuron |
| + | to a typical EEG. If you look from top (psychology) to | ||
the bottom, there seems to be little chaos. | the bottom, there seems to be little chaos. | ||
Somewhere in between chaos seems to vanish, | Somewhere in between chaos seems to vanish, | ||
