[nynx]

Biologically inspired neuron models like Hodgkin–Huxley are about as far from an emulation of real neuron behavior as a paper airplane is from the space shuttle. We can learn things from using them and they're an important stepping stone, but they aren't really that useful.

That being said, I hope the founder keeps it up — it's great to have more bright, driven people in this field.

[stevenhuang]

I wouldn't be so certain. After all it is unknown to the extent each unique biological aspect of the neuron actually matters to the function of the brain and mind.

If it turns out it is the higher order network effects that are more important, then these lower level "implementation details" will be of practical insignificance.

[RaftPeople]

> I wouldn't be so certain. After all it is unknown to the extent each unique biological aspect of the neuron actually matters to the function of the brain and mind.

We know that some neurons learn in isolation (purkinje cells). Meaning that it learns and detects patterns of sequences of input, and produces output based on that (e.g. trigger blinking in rabbit eye).

It seems like this one item alone indicates that the HH model is limited.