An observation neuron is a type of neuron in artificial neural networks, particularly in the context of reinforcement learning or certain types of unsupervised learning. It is responsible for processing and encoding observations or sensory inputs from the environment, allowing the network to learn and adapt based on the feedback it receives. Essentially, observation neurons help the network to understand and interpret the state of the environment, facilitating decision-making processes.
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