|
|
|
|
|
|
by bjourne
970 days ago
|
|
|
First, I wonder how you got access to the article? It is behind a
paywall and not yet uploaded to the sites I usually find paywalled
articles on. Second, there is no need to compare brains to neural networks
because brains are neural networks. Neurons form vertices and axons
edges connecting the aforementioned. What you are perhaps thinking of
are artificial neural networks - most of which are very dissimilar
to brains. But even then you are wrong. Artificial Izhikevich and
Hodgkin-Huxley neural networks attempts to closely mimic the behavior
of real neurons. While deep, hierarchical artificial neural networks have been more
successful than biologically plausible ones, that may be because the
technology isn't ready yet. After all, the perceptron was invented in
the 1950's but didn't become prominent until the 2010's (or
so). Perhaps we need new memories that better map to (real) neural
network topologies, or perhaps 3d chips that can pack transistors in
the same way brains pack neurons. |
|
|
Changes in mechanical pressure, electric field, other molecules attachment, photon absorption, can control the conductivity.
Organic semiconductors designed to fit like lego bricks to naturally build the desired structure are IMHO the way to go to produce 3d circuits, rather than layered silicone litography.