Mathing a Serial Killer

Researchers at UCLA have combined neuroscience and math in order to identify patterns in the acts of a notorious Russian serial killer, executed in 1994. The model makes several assumptions: 1) a certain threshold of neuronal firing has to be passed, at which point the desire to kill becomes impossible to ignore; 2) some time is subsequently required in order to plan and carry out a killing; 3) killing acts as a sort of sedative, calming the neurons temporarily. (via)

The distribution of the intervals between murders (step length) follows a power law with the exponent of 1.4. We propose a model according to which the serial killer commits murders when neuronal excitation in his brain exceeds certain threshold. ” - via journal article here.

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    And this is why I want to go to UCLA. I’m also on the fence on whether to study Clinical or Experimental psych. Why not...
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    this makes me love much more math
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  13. eggoil reblogged this from proofmathisbeautiful and added:
    for so many reasons
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    hmm
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    Why do I read this as “A reasonably intelligent, infromed serial killer with the right mix of impulses will...
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