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Most messages a neuron receives are excitatory signals that increase the likelihood that a neuron will generate its own message.
Excitatory signals are shown here in green and produce a positively charged electrical impulse that travels along the membrane of the dendrite and cell body.
Some messages are inhibitory signals that make it harder for the neuron to fire.
Inhibitory signals are shown here in red and create a negatively charged electrical impulse that travels along the membrane of the dendrite and cell body.
An inhibitory signal, by itself, has no effect on neural communication.
When an inhibitory signal is received at the same time as an excitatory signal, the inhibitory signal can reduce or completely block the effect of the excitatory signal.
The color-coding (green for excitatory, red for inhibitory) helps visually distinguish the two types of inputs.
The neuron integrates multiple signals to determine whether it will fire; the net effect depends on the balance of inputs.

Excitatory signals increase the likelihood of the neuron generating its own message.
Inhibitory signals decrease the likelihood of firing or raise the threshold for firing.
Both excitatory and inhibitory signals travel along the membrane of the dendrites and the cell body (soma).
The electrochemical nature of these signals involves changes in charge across the membrane that influence the neuron’s readiness to fire.

When excitatory and inhibitory signals occur simultaneously, the inhibitory signal can reduce or completely block the effect of the excitatory signal.
The firing decision emerges from the integration of all inputs, not from a single signal.
Net effect on firing can be expressed as the balance between inputs:
$N = \sum E - \sum I$
where $\sum E$ represents the total excitatory input and $\sum I$ represents the total inhibitory input.
If $N$ exceeds a threshold, the neuron fires; if not, it remains silent.
Inhibitory signals can modulate timing and strength of the response, effectively acting as a brake on excitation.

Inhibition provides selective responsiveness rather than responding to every excitatory message.
This selective response enables better decision making and finer control of behavior.
Inhibitory control helps prevent runaway excitation and shapes the patterns of neural activity that underlie complex computations and behaviors.

The balance between excitation and inhibition is fundamental to the functioning of neural circuits and networks.
Proper inhibitory control contributes to stable behavior, accurate signal processing, and appropriate motor and cognitive outputs.
Disruptions in the balance of excitatory and inhibitory signaling can lead to altered neural processing and are relevant to discussions of learning, coordination, and neurological conditions in broader contexts.

Neurons receive both excitatory (green) and inhibitory (red) signals along the dendrites and soma.
Excitatory signals raise the chance of firing; inhibitory signals lower it or block firing when present.
An inhibitory signal alone has no effect; its impact is realized only when it coincides with excitatory input.
The neuron’s output is the result of integrating multiple signals, often summarized as $N = \sum E - \sum I$ , and firing occurs if the net input crosses a threshold.
Inhibition is essential for selective processing, precise control, and robust neural computation.