, inhibition describes any reduction in positive response to a stimulus. This is not necessarily analogous to the use of the term to describe synaptic responses in biological and artificial neural networks. For more details on Pavlov
's usage, see Extinction
In biological neurons
, inhibition describes a property of a synapse
or synaptic response that causes the neuron to be less likely to fire when it is stimulated. For more about this, see the entry here entitled Inhibitory Synapse
In artificial neural networks
, an inhibitory synapse
is a synapse
, which is historically represented with a negative weight value
. The inhibitory synapse modulates the stimulation by the negative weight, causing the neuron
's output to become less positive.
In any case, inhibition is not the same as depression
, which is the decrease of the input's ability to have any
effect on its neuron
's output, positive or negative.