A neural atom can be defined by its ability to encode and transform information using artificial neural networks. It typically consists of a single artificial neuron or a small cluster of neurons that perform specific computational tasks. Neural atoms can receive inputs from other neurons, process the information, and generate outputs that feed into other neurons or external systems. These atoms are the building blocks of more complex neural network architectures and play a crucial role in the overall functioning and learning capabilities of the network.
