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The main plan of this research is based on the idea that artificial intelligence is inefficient because the basic unit it uses, the artificial neuron, is too simple. In current systems, a neuron only adds inputs and passes them through a function. It does not have memory, timing, or internal structure. Because of this, AI needs a very large number of neurons, a lot of computing power, and long training time to perform well.
The research suggests replacing these simple neurons with more advanced ones inspired by biological neurons. These new neurons should have their own memory over time, process inputs in more complex ways like dendrites in the brain, and be able to fire signals instead of just producing a continuous output. They should also be able to adapt their behavior based on past activity.
The goal of this approach is to make each neuron more powerful so that the system needs fewer neurons overall. This would reduce the amount of data, computation, and training required, while improving efficiency and learning speed.
This was generated with help of ai because my explanation in English was not good
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