Question

Give the analogy between artificial neuron or biological neuron

Answer 1

Major Differences between these two are -

Field of application: ANNs are specialized. They can perform one task. They might be perfect at playing chess, but they fail at playing go (or vice versa). Biological neural networks can learn completely new tasks.

Signal transport and processing: The human brain works asynchronously, ANNs work synchronously.

Training algorithm: ANNs use Gradient Descent for learning. Human brains use something different (but we don't know what)

Processing speed: Single biological neurons are slow, while standard neurons in ANNs are fast.


Topology: Biological neural networks have complicated topologies, while ANNs are often in a tree structure (I am aware of recurrent networks - they are still pretty simple from their structure)

Power consumption: Biological neural networks use very little power compared to artificial networks.

Training time: Biological networks usually don't stop / start learning. ANNs have different fitting (train) and prediction (evaluate) phases.