Question

Explain The Biological Neuron Model. How Is It Different From Artificial Neuron?



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Answer 1

Answer:

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So unlike biological neurons, artificial neurons don't just “fire”: they send continuous values instead of binary signals. Depending on their activation functions, they might somewhat fire all the time, but the strength of these signals varies.

• Biological Neural Network (BNN) is a structure that consists of Synapse, dendrites, cell body, and axon. In this neural network, the processing is carried out by neurons.
• Artificial neural networks (ANNs) are mathematical constructs, originally designed to approximate biological neurons. ... Your brain is a biological neural network, so is a number of neurons grown together in a dish so that they form synaptic connections.

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Answer 2

$\huge\bold\red{(ANN)(Artificial~ Neuron~ Network }$

• Artificial Neural Network (ANN) is a type of neural network which is based on a Feed-Forward strategy. It is called this because they pasş information through the nodes continuously till it reaches the output node. This is also known as the simplest type of neural network.

Some advantages of ANN :

• Ability to learn irrespective of the type of data (Linear or Non-Linear).
• ANN is highly volatile and serves best in financial time series forecasting.

Some disadvantages of ANN :

• The simplest architecture makes it difficult to explain the behavior of the network.
• This network is dependent on hardware.

$\huge\bold\red{(BNN)Biological~ Neuron~ Network }$

• Biological Neural Network (BNN) is a structure that consists of Synapse, dendrites, cell body, and axon. In this neural network, the processing is carried out by neurons. Dendrites receive signals from other neurons, Soma sums all the incoming signals and axon transmits the signals to other cells.

Some advantages of BNN :

• The synapses are the input processing element.
• It is able to process highly complex parallel inputs.

Some disadvantages of BNN :

• There is no controlling mechanism.
• Speed of processing is slow being it complex.