Neural Network Formation

Definition

Neural network formation refers to the process by which connections between neurons develop and strengthen over time. It involves synapse formation, synaptic pruning (elimination of unnecessary connections), and long-term potentiation (strengthening of important connections).

Related terms

Synapse:

A synapse is a specialized junction where two neurons communicate. It consists of a presynaptic neuron, a postsynaptic neuron, and the tiny gap between them called the synaptic cleft. Neurotransmitters released from the presynaptic neuron transmit signals across the synapse to influence the activity of the postsynaptic neuron.

Plasticity:

Neural plasticity refers to the brain's ability to change and adapt by forming new neural connections or modifying existing ones. It plays a crucial role in learning, memory formation, and recovery from brain injuries.

Long-Term Potentiation (LTP): LTP is a process that strengthens synaptic connections between neurons over time. It involves repeated activation of specific pathways, resulting in increased efficiency and transmission strength at those synapses. LTP is considered one of the cellular mechanisms underlying learning and memory processes.