Reference
The NeurOne module allows users to study AI-Machine Learning fundamentals by simulating neuron functionality in neural networks for effective signal processing and transmission.
Principle
NeurOne module is a kind of function module, by which users can study the basic knowledge of AI-Machine Learning. This module simulates one of the basic nodes in neural network---neuron. Neurons are the basic (functional & structural) units of our nervous system, and they are highly specialized for the processing and transmission of cellular signals.
Other Supplementary Information
- Input Pin: connect to sensors of all sorts. Suitable for both analog and digital input.
- Output Pin: digital output Low/High to control LED or buzzer; use as Arduino digital input sensor.
- Learning Indicator: in learning mode, the indicator will keep on.
- Output Indicator: when the current repeat action or the input signal matches the previous learning process, the indicator will be on.
- Learning Button: press the button to enter the learning mode.
- Accuracy Adjustment: adjust the accuracy to match the data so as to realize better effects.
Connect digital or analog sensor to the left input pin of the NeurOne module such as, button, light sensor, and sound sensor, press down and hold the learning button on the module to study and record the input electric signal. The NeurOne module will record the strength and mode of the signal, and the learning indicator will keep on during the process. Release the button when the learning is finished. When the NeurOne module's input receives the same signal strength and mode as it gets in learning progress, the module outputs High level. Different device can utilize the voltage signal to realize various functions. The data match accuracy can be adjusted via the accuracy knob. Refer to the following tutorial for details.
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