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  2. Synaptic potential - Wikipedia

    en.wikipedia.org/wiki/Synaptic_potential

    Synaptic potential refers to the potential difference across the postsynaptic membrane that results from the action of neurotransmitters at a neuronal synapse. [1] In other words, it is the “incoming” signal that a neuron receives. There are two forms of synaptic potential: excitatory and inhibitory.

  3. Excitatory synapse - Wikipedia

    en.wikipedia.org/wiki/Excitatory_synapse

    An excitatory synapse is a synapse in which an action potential in a presynaptic neuron increases the probability of an action potential occurring in a postsynaptic cell. Neurons form networks through which nerve impulses travels, each neuron often making numerous connections with other cells of neurons.

  4. Neuroligin - Wikipedia

    en.wikipedia.org/wiki/Neuroligin

    Inhibitory synapses decrease probability of firing an action potential in the postsynaptic neuron and are often GABAergic, in which the neurotransmitter GABA is released. Especially during early development, neurons must receive an appropriate balance of excitatory vs. inhibitory synaptic input, referred to as the E/I ratio.

  5. Neurotransmitter - Wikipedia

    en.wikipedia.org/wiki/Neurotransmitter

    The different locations of Type I and Type II synapses divide a neuron into two zones: an excitatory dendritic tree and an inhibitory cell body. From an inhibitory perspective, excitation comes in over the dendrites and spreads to the axon hillock to trigger an action potential. If the message is to be stopped, it is best stopped by applying ...

  6. Synaptic plasticity - Wikipedia

    en.wikipedia.org/wiki/Synaptic_plasticity

    There are several underlying mechanisms that cooperate to achieve synaptic plasticity, including changes in the quantity of neurotransmitters released into a synapse and changes in how effectively cells respond to those neurotransmitters. [3] Synaptic plasticity in both excitatory and inhibitory synapses has been found to be dependent upon ...

  7. Wilson–Cowan model - Wikipedia

    en.wikipedia.org/wiki/Wilson–Cowan_model

    In computational neuroscience, the Wilson–Cowan model describes the dynamics of interactions between populations of very simple excitatory and inhibitory model neurons. It was developed by Hugh R. Wilson and Jack D. Cowan [ 1 ] [ 2 ] and extensions of the model have been widely used in modeling neuronal populations.

  8. Adrenergic nerve fibre - Wikipedia

    en.wikipedia.org/wiki/Adrenergic_nerve_fibre

    Adrenergic receptors can produce both excitatory and inhibitory effects. In general, the behavioral effects of the release of norepinephrine are excitatory. In the brain the α1 receptors produce a slow depolarizing (excitatory) effect on the postsynaptic membrane, while α2 receptors produce a slow hyperpolarization (inhibitory) effect. [5]

  9. Neurexin - Wikipedia

    en.wikipedia.org/wiki/Neurexin

    Neuroligins and neurexins can also regulate formation of glutamatergic (excitatory) synapses, and GABAergic (inhibitory) contacts using a neuroligin link. Regulating these contacts suggests neurexin-neuroligin binding could balance synaptic input, [7] or maintain an optimal ratio of excitatory to inhibitory contacts.