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allied

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Journal of Neurology and Neurorehabilitation Research | Volume 3

August 23-24, 2018 | Paris, France

Neurology and Neurological Disorders

18

th

International Conference on

Cognitive approach to Memristor which is able to associative learning

Hakkı Halil Babacan, Salih Erkan

and

Gülçin Arkış

Istanbul University, Turkey

Objective:

We are at a time when electronic systems are

structured in a manner similar to the human brain. The

memristor, a neuromorphic circuit designed by Chua in 1971,

is a modeling of synaptic learning and associative learning.

Neuromorphic circuit elements and memristor can be used in

artificial brain formation inthe laterperiodsand inthe treatment

of various lesions, psychiatric and neurological diseases.

Scientific publications of memristor related neuroscientists,

behavioral scientists, cognitive scientists and psychologists are

scarce. The aimof this review is to examine the learning models

built on the memristor by cognitive perspective.

Methods:

In this study, the learning experiments on the

memristor were investigated in the literature and the results

were compared.

Results:

In conditional learning experiments on the memristor,

which is its own memory, the unconditional stimulus and the

neutral stimulus represent different types of signals. Before the

learning, the signalswhich aredenoted as neutral stimuli cannot

give output from the electronic angle. But just like Pavlov’s dog

experiment, when the signal representing the unconditioned

stimulus was presented before learning, the output is taken.

When both stimuli were presented in the order of the Pavlov

experiment, the output was taken from the neutral stimulus.

And after learning, the output can be taken when the neutral

stimulus given alone. In this way, the memristors were able to

learn conditionally and to achieve synaptic modeling.

Conclusion:

It has been found that learning procedures can be

applied tohardware devices other than algorithmic devices. The

learning experiments on the memristor successfully support

the synaptic learning and Pavlov type conditional learning

procedures. In some experiments, however, the conditional

responses in the memristor do not decrease over time. This

can be described as a pathological learning and may reduce the

efficiency of the memristor.

e:

halil.babacan24@gmail.com