Scientists create working artificial nerve networks

Scientists have already hooked brains directly to computers by means of metal electrodes, in the hope of both measuring what goes on inside the brain and eventually healing conditions such as blindness or epilepsy. In the future, the interface between brain and artificial system might be based on nerve cells grown for that purpose. In research that was recently featured on the cover of Nature Physics, Prof. Elisha Moses of the Physics of Complex Systems Department and his former research students Drs. Ofer Feinerman and Assaf Rotem have taken the first step in this direction by creating circuits and logic gates made of live nerves grown in the lab.

When neurons - brain nerve cells - are grown in culture, they don't form complex 'thinking' networks. Moses, Feinerman and Rotem wondered whether the physical structure of the nerve network could be designed to be more brain-like. To simplify things, they grew a model nerve network in one dimension only - by getting the neurons to grow along a groove etched in a glass plate. The scientists found they could stimulate these nerve cells using a magnetic field (as opposed to other systems of lab-grown neurons that only react to electricity).

Experimenting further with the linear set-up, the group found that varying the width of the neuron stripe affected how well it would send signals. Nerve cells in the brain are connected to great numbers of other cells through their axons (long, thin extensions), and they must receive a minimum number of incoming signals before they fire one off in response. The researchers identified a threshold thickness, one that allowed the development of around 100 axons. Below this number, the chance of a response was iffy, while just a few over this number greatly raised the chance a signal would be passed on.

The scientists then took two thin stripes of around 100 axons each and created a logic gate similar to one in an electronic computer. Both of these 'wires' were connected to a small number of nerve cells. When the cells received a signal along just one of the 'wires,' the outcome was uncertain; but a signal sent along both 'wires' simultaneously was assured of a response. This type of structure is known as an AND gate. The next structure the team created was slightly more complex: Triangles fashioned from the neuron stripes were lined up in a row, point to rib, in a way that forced the axons to develop and send signals in one direction only. Several of these segmented shapes were then attached together in a loop to create a closed circuit. The regular relay of nerve signals around the circuit turned it into a sort of biological clock or pacemaker.

Moses: 'We have been able to enforce simplicity on an inherently complicated system. Now we can ask, 'What do nerve cells grown in culture require in order to be able to carry out complex calculations?' As we find answers, we get closer to understanding the conditions needed for creating a synthetic, many-neuron 'thinking' apparatus.'

For the scientific paper, please see: … 12/pdf/nphys1099.pdf .

Source: Weizmann Institute of Science

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Jan 29, 2009
Somehow I have the feeling they substituted semiconductor material with neurons and created a biological equivalent of a 74LS00.
Then they did a retro alimentation to make a biological oscillator and call it pacemaker. Yeah now it has a heart and it is alive. Don't make me laugh.
Then they talk about creating a many neuron apparatus (translation biological ALU Arithmetic logic unit) to do complex calculations. This ALU could be ordered with the nand gates to make a simple computer. Its just an awful expensive and stupid way to create another computer with the wrong technology. Neurons are known for being extremely slow conducting mechanisms,
Please don't call this thinking, not even with quotes around it.
I believe this study was nice, but can now be ended.
The interesting result is the fact that magnetism can fire the neurons, but that can be due to the fact that they are ordered as a wire and all currents flow in the same direction.

Jan 29, 2009 does turning these complex biological neurons into a simple semi-conductor get us any closer to a reasonable brain-computer interface?

Jan 29, 2009
Amazing study.

Jan 29, 2009
One hundred years ago, the workings of the brain might have been compared to gearboxes instead of computer circuitry. I don't think that emulating computer circuitry with neurons helps us understand consciousness for the same reason that making a gearbox out of neurons would not help us.

Jan 29, 2009
an interesting study but I'm inclined to agree with the synopsis forwarded by @Yes

Feb 02, 2009

I totally agree. Those guys are asking the wrong questions - or more precisely, they are mistakenly equalling "linear computation" to "thinking process". It's kind of funny that those otherwise big minds haven't somehow learned yet that human thinking is an emergent process, where individual neurons are actually doing NO pre-designed calculation whatsoever. Neurons are just part of a bigger structure, and they have very limited functions, like bees in a beehive or ants in an anthill. In a brain you can remove any neuron, or even whole assemblies thereof, and still be left with a perfectly unaltered operation of the whole brain. Try that with computers.

They "enforced simplicity" on a complex system... What a load of cr*p and waste of time. Still, even that research might yield some interesting results, e.g. in the area of neuron growth control, so let's hope it's not entirely useless.

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