[Comp-neuro] reward transparency and didactic efforts Re:

Juan Fe Gomez wave40hz at email.com
Sun Aug 17 20:08:24 CEST 2008

Interesting discussion about modeling neurons
 My contribution:

Maybe a science of networks -involving nodes representing integrate and
fire neurons, differential equations, and realistic models- needs to
mature more first. For this, perhaps a humble attitude is required: (1)
choose simpler problems, (2) present open codes, (3) reward comparative
and taxonomic efforts, and clarity and transparency of modeling. If
everyone of us pretend to have exclusivity about the core behavior of
neurons in mathematical form, we are lacking the humble attitude to
create real science. Only pseudoscience and a field with profound
methodological problems can be the result.

On the other hand, if some models turn out to be not very biologically
accurate, they were still useful to help us to discriminate real neurons
from them. More importantly perhaps, they can give more intuition and be
didactic. One case is the early model of Galileo for bodies moving in an
inclined plane. The high-school text books of physics “recapitulate”
those early models (the more realistic models involving static and
dynamic friction and intermolecular forces are only in advanced books of
mechanics). Juan F Gomez Ph.D.

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