The electronic 'Pavlov's Dog'

ScienceDaily (May 8, 2012) ? Nanotechnology scientists and memory researchers at the Kiel University redesigned a mental learning process using electronic circuits.

The bell rings and the dog starts drooling. Such a reaction was part of studies performed by Ivan Pavlov, a famous Russian psychologist and physiologist and winner of the Nobel Prize for Physiology and Medicine in 1904. His experiment, nowadays known as "Pavlov's Dog," is ever since considered as a milestone for implicit learning processes. By using specific electronic components scientists form the Technical Faculty and the Memory Research at the Kiel University together with the Forschungszentrum J?lich were now able to mimic the behavior of Pavlov`s dog.

The study is published in the current issue of Advanced Functional Materials.

Digital and biological information processing are based on fundamentally different principles. Modern computers are able to work on mathematical-logical problems at an extremely high pace. In fact, procedures in the computer's central processing unit and in the storage media run serially. While digital computers have shown immense success throughout the years in certain fields, they reveal weaknesses when it comes to pattern recognition and cognitive tasks. "However, to imitate biological information processing systems recognition and cognitive tasks are essential. Mammal brains -- and therefore also the brains of humans -- decode information in complex neuronal networks of synapses with up to 10¹⁴ (100 Trillion) connections. However, the connectivity between neurons is not fixed. "Learning means that new connections between neurons are created, or existing connections are reinforced or weakened," says PD Dr. Thorsten Bartsch of the Clinic for Neurology. This is called neuronal plasticity.

Is it possible to design neural circuits with electronic devices to mimic learning? At this crossroad between neurobiology, material science and nanoelectronics, scientists from the University of Kiel are collaborating with their colleagues from the Research Center J?lich. Now, they have succeeded in electronically recreating the classical "Pavlov's Dog" experiment. "We used memristive devices in order to mimic the associative behaviour of Pavlov's dog in form of an electronic circuit," explains Professor Hermann Kohlstedt, head of the working group Nanoelectronics at the University of Kiel.

Memristors are a class of electronic circuit elements which have only been available to scientists in an adequate quality for a few years. They exhibit a memory characteristic in form of hysteretic current-voltage curves consisting of high and low resistance branches. In dependence on the prior charge flow through the device these resistances can vary. Scientists try to use this memory effect in order to create networks that are similar to neuronal connections between synapses. "In the long term, our goal is to copy the synaptic plasticity onto electronic circuits. We might even be able to recreate cognitive skills electronically," says Kohlstedt. The collaborating scientific working groups in Kiel and J?lich have taken a small step toward this goal.

The project set-up consisted of the following: two electrical impulses were linked via a memristive device to a comparator. The two pulses represent the food and the bell in Pavlov's experiment. A comparator is a device that compares two voltages or currents and generates an output when a given level has been reached. In this case, it produces the output signal (representing saliva) when the threshold value is reached. In addition, the memristive element also has a threshold voltage that is defined by physical and chemical mechanisms in the nano-electronic device. Below this threshold value the memristive device behaves like any ordinary linear resistor. However, when the threshold value is exceeded, a hysteretic (changed) current-voltage characteristic will appear.

"During the experimental investigation, the food for the dog (electrical impulse 1) resulted in an output signal of the comparator, which could be defined as salivation. Unlike to impulse 1, the ring of the bell (electrical impulse 2) was set in such a way that the compartor's output stayed unaffected -- meaning no salivation," describes Dr. Martin Ziegler, scientist at the Kiel University and the first-author of the publication. After applying both impulses simultaneously to the memristive device, the threshold value was exceeded. The working group had activated the memristive memory function. Multiple repetitions led to an associative learning process within the circuit -- similar to Pavlov's dogs. "From this moment on, we had only to apply electrical impulse 2 (bell) and the comparator generated an output signal, equivalent to salivation," says Ziegler and is very pleased with these results. Electrical impulse 1 (feed) triggers the same reaction as it did before the learning. Hence, the electric circuit shows a behaviour that is termed classical conditioning in the field of psychology. Beyond that, the scientists were able to prove that the electrical circuit is able to unlearn a particular behaviour if both impulses were not longer applied simultaneously.

Background on "Pavlov's dog"

Hungry dogs naturally salivate at the sight of food.Pavlov rang a bell before feeding the dog. After repeated bell-food pairings the bell also caused the dogs to salivate.

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Story Source:

The above story is reprinted from materials provided by Christian-Albrechts-Universitaet zu Kiel, via AlphaGalileo.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.

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Journal Reference:

1. Martin Ziegler, Rohit Soni, Timo Patelczyk, Marina Ignatov, Thorsten Bartsch, Paul Meuffels, Hermann Kohlstedt. An Electronic Version of Pavlov's Dog. Advanced Functional Materials, 2012; DOI: 10.1002/adfm.201200244

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

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