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.
The Inter-neuron (also known as the local circuit neuron, relay neuron or the association neuron) is the neuron which connects the afferent and the efferent neurons in the neural pathways.
A neuron is called a inter-neuron because that specific neuron takes impulse from one neuron to a next neuron. For example your sensory neuron sends a impulse that you had felt a hot object. It goes through the spine to a inter-neuron to a motor neuron (this processes is called a reflex). Then the motor neuron tells your muscles in your hand to move
a relay neuron is the neuron that picks up the message from the sensory neuron and delivers it to the motor neuron in the spinal cord or the brain
one type of neuron is the motor neuron
A motor or efferent neuron.
a neuron which recieve both messages from afferent and efferent neuron...
it is neuron impulse
sensory neuron or receptor neuron.
motor neuron is a type of neuron that found at the muscles, tissues, and organs.
A neuron.
you are neuron to the environment
a neuron