Researchers Create Simulation Of a Simple Worm's Neural Network (tuwien.ac.at)

ClockEndGooner writes: Researchers at the Technische Universitat Wein have created a simulation of a simple worm's neural network, and have been able to replicate its natural behavior to completely mimic the worm's natural reflexive behavior. According to the article, using a simple neural network of 300 neurons, the simulation of "the worm can find its way, eat bacteria and react to certain external stimuli. It can, for example, react to a touch on its body. A reflexive response is triggered and the worm squirms away. This behavior is determined by the worm's nerve cells and the strength of the connections between them. When this simple reflex network is recreated on a computer, the simulated worm reacts in exactly the same way to a virtual stimulation -- not because anybody programmed it to do so, but because this kind of behavior is hard-wired in its neural network." Using the same neural network without adding any additional nerve cells, Mathias Lechner, Radu Grosu, and Ramin Hasani were able to have the nematode simulation learn to balance a pole "just by tuning the strength of the synaptic connections. This basic idea (tuning the connections between nerve cells) is also the characteristic feature of any natural learning process."

Comments

Re:#NotAllWorms

[Anne Thwacks]

In nature, neural nets are dynamically rewired.

Think of the net starting with all potential connections. the neurones sum their inputs in a weighted manner.

Over time, some connections get stronger, and others weaker. Eventually some die out completely.

Some of you may see this as entirely and completely analagous to how the logic and routing are programmed in FPGAs.

At night, the whole shebang goes off-line for a bug fix session (Some of you may see this as entirely and completely analagous to how FPGAs are put in programming mode for the logic and routing to be programmed).

Some of you may think that either:

• A lot of these "neural net" research projects are a scam, or
• A lot of these "neural net" research projects are a serious waste of time, or
• The people involved in these projects might be better off reading up on FPGAs before they set out to prove the blindingly obvious, rather badly.

Yes, I have been saying this since Xilinx released their first chip.

Yes, it would appear that an FPGA is more intelligent than 90% of politicians. Appearances can be deceptive. Its probably more like 99%