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Synapse is a component-based development environment for neural networks and adaptive systems. Created by Peltarion , Synapse allows data mining , statistical analysis , visualization , preprocessing , design and training of neural networks and adaptive systems and the deployment of them.
In the nervous system, a synapse [1] is a structure that allows a neuron (or nerve cell) to pass an electrical or chemical signal to another neuron or a target effector cell. Synapses can be classified as either chemical or electrical, depending on the mechanism of signal transmission between neurons.
A synapse during re-uptake. Note that some neurotransmitters are lost and not reabsorbed. Reuptake is the reabsorption of a neurotransmitter by a neurotransmitter transporter located along the plasma membrane of an axon terminal (i.e., the pre-synaptic neuron at a synapse) or glial cell after it has performed its function of transmitting a neural impulse.
The synapse is formed at a narrow gap between the pre- and postsynaptic neurons known as a gap junction. At gap junctions, such cells approach within about 3.8 nm of each other, [ 1 ] a much shorter distance than the 20- to 40-nanometer distance that separates cells at a chemical synapse . [ 2 ]
A synapse that is not technically silent, but appears to be so, because it has such a low presynaptic probability of release that it rarely is activated. The "glutamate spillover" hypothesis: A synapse that does not release its own presynaptic glutamate, but in which the postsynapse detects low concentrations of glutamate "spilling over" from ...
The reward model is usually initialized with a pre-trained model, as this initializes it with an understanding of language and focuses training explicitly on learning human preferences. In addition to being used to initialize the reward model and the RL policy, the model is then also used to sample data to be compared by annotators. [15] [14]
The strength of a synapse has been defined by Bernard Katz as the product of (presynaptic) release probability pr, quantal size q (the postsynaptic response to the release of a single neurotransmitter vesicle, a 'quantum'), and n, the number of release sites. "Unitary connection" usually refers to an unknown number of individual synapses ...
Tripartite synapse refers to the functional integration and physical proximity of: The presynaptic membrane, Postsynaptic membrane, and their intimate association with surrounding glia. It also refers as well as the combined contributions of these three synaptic components to the production of activity at the chemical synapse. [1]