Reverse transportReverse transport, or transporter reversal, is a phenomenon in which the substrates of a membrane transport protein are moved in the opposite direction to that of their typical movement by the transporter. Transporter reversal typically occurs when a membrane transport protein is phosphorylated by a particular protein kinase, which is an enzyme that adds a phosphate group to proteins. The primary function of most neurotransmitter transporters is to facilitate neurotransmitter reuptake (i.e.
Retrograde signalingRetrograde signaling in biology is the process where a signal travels backwards from a target source to its original source. For example, the nucleus of a cell is the original source for creating signaling proteins. During retrograde signaling, instead of signals leaving the nucleus, they are sent to the nucleus. In cell biology, this type of signaling typically occurs between the mitochondria or chloroplast and the nucleus. Signaling molecules from the mitochondria or chloroplast act on the nucleus to affect nuclear gene expression.
Exocytosethumb|300px|Neurone A (transmetteur) vers neurone B (récepteur)1. Mitochondrie 2. vésicule synaptique avec neurotransmetteurs 3. Autorécepteur 4. Synapse libérant des neurotransmetteurs (sérotonine) 5. Récepteurs postsynaptiques activés par des neurotransmetteurs (induction d'un potentiel postsynaptique ) 6. Canaux calcium 7. Exocytose de vésicules 8. Neurotransmetteur recapturé L'exocytose (du grec -exo "hors de" et de -kutos "cavité, cellule") est le mécanisme par lequel la cellule libère de grandes biomolécules à travers sa membrane.
ReuptakeReuptake 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. Reuptake is necessary for normal synaptic physiology because it allows for the recycling of neurotransmitters and regulates the level of neurotransmitter present in the synapse, thereby controlling how long a signal resulting from neurotransmitter release lasts.
Glutamate receptorGlutamate receptors are synaptic and non synaptic receptors located primarily on the membranes of neuronal and glial cells. Glutamate (the conjugate base of glutamic acid) is abundant in the human body, but particularly in the nervous system and especially prominent in the human brain where it is the body's most prominent neurotransmitter, the brain's main excitatory neurotransmitter, and also the precursor for GABA, the brain's main inhibitory neurotransmitter.
Synaptic weightIn neuroscience and computer science, synaptic weight refers to the strength or amplitude of a connection between two nodes, corresponding in biology to the amount of influence the firing of one neuron has on another. The term is typically used in artificial and biological neural network research. In a computational neural network, a vector or set of inputs and outputs , or pre- and post-synaptic neurons respectively, are interconnected with synaptic weights represented by the matrix , where for a linear neuron where the rows of the synaptic matrix represent the vector of synaptic weights for the output indexed by .
Guidage axonalLe guidage axonal est une branche du neurodéveloppement. Elle étudie comment les axones parviennent à trouver leurs cellules cibles notamment grâce aux cônes de croissance. Le principe élémentaire du guidage axonal repose sur la chemoattraction et la chemorepulsion : Le cône de croissance est attiré par des molécules présentes dans le milieu extracellulaire et sécrétées par les cellules de sa zone de destination (ex: des facteurs de croissance).
Système nerveuxthumb|Le système nerveux humain. Le système nerveux (ou système neuronal) est un système biologique animal responsable de la coordination des actions avec l'environnement extérieur et de la communication rapide entre les différentes parties du corps. Les êtres vivants dotés d'un système nerveux sont nommés eumétazoaires. Il exerce un contrôle sur l'ensemble du corps qui se traduit par des actes volontaires ou involontaires, et des sensations qui sont conscientes ou inconscientes.
Releasing and inhibiting hormonesReleasing hormones and inhibiting hormones are hormones whose main purpose is to control the release of other hormones, either by stimulating or inhibiting their release. They are also called liberins (ˈlɪbərᵻnz) and statins (ˈstætᵻnz) (respectively), or releasing factors and inhibiting factors. The principal examples are hypothalamic-pituitary hormones that can be classified from several viewpoints: they are hypothalamic hormones (originating in the hypothalamus), they are hypophysiotropic hormones (affecting the hypophysis, that is, the pituitary gland), and they are tropic hormones (having other endocrine glands as their target).
Neural networkA neural network can refer to a neural circuit of biological neurons (sometimes also called a biological neural network), a network of artificial neurons or nodes in the case of an artificial neural network. Artificial neural networks are used for solving artificial intelligence (AI) problems; they model connections of biological neurons as weights between nodes. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed.
Vesicle fusionVesicle fusion is the merging of a vesicle with other vesicles or a part of a cell membrane. In the latter case, it is the end stage of secretion from secretory vesicles, where their contents are expelled from the cell through exocytosis. Vesicles can also fuse with other target cell compartments, such as a lysosome. Exocytosis occurs when secretory vesicles transiently dock and fuse at the base of cup-shaped structures at the cell plasma membrane called porosome, the universal secretory machinery in cells.
Neuronal ensembleA neuronal ensemble is a population of nervous system cells (or cultured neurons) involved in a particular neural computation. The concept of neuronal ensemble dates back to the work of Charles Sherrington who described the functioning of the CNS as the system of reflex arcs, each composed of interconnected excitatory and inhibitory neurons. In Sherrington's scheme, α-motoneurons are the final common path of a number of neural circuits of different complexity: motoneurons integrate a large number of inputs and send their final output to muscles.
