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In 2002, the American neuroscientist P. Read Montague [4] articulated the need to examine the neural activity of multiple individuals at one time. To this point, Montague and his colleagues wrote, "Studying social interactions by scanning the brain of just one person is analogous to studying synapses while observing either the presynaptic neuron or the postsynaptic neuron, but never both ...
Neurons form networks through which nerve impulses travels, each neuron often making numerous connections with other cells of neurons. These electrical signals may be excitatory or inhibitory, and, if the total of excitatory influences exceeds that of the inhibitory influences, the neuron will generate a new action potential at its axon hillock ...
In addition, a synapse serves as a junction where both the transmission and processing of information occur, making it a vital means of communication between neurons. [10] At the synapse, the plasma membrane of the signal-passing neuron (the presynaptic neuron) comes into close apposition with the membrane of the target (postsynaptic) cell.
Synaptogenesis is the formation of synapses between neurons in the nervous system.Although it occurs throughout a healthy person's lifespan, an explosion of synapse formation occurs during early brain development, known as exuberant synaptogenesis. [1]
The enhancement of synaptic potential would mean that fewer would be needed to have the same or larger effect, which could have far-reaching medical uses. The research indicates that this long term potentiation or in the case of inhibitory synapses, long term depression of the synapse occurs after prolonged stimulation of two neurons at the ...
One principle by which neurons work is neural summation – potentials at the postsynaptic membrane will sum up in the cell body. If the depolarization of the neuron at the axon hillock goes above threshold an action potential will occur that travels down the axon to the terminal endings to transmit a signal to other neurons.
A model of a biological neuron is a mathematical description of the properties of nerve cells, or neurons, that is designed to accurately describe and predict its biological processes. One of the most successful neuron models is the Hodgkin–Huxley model, for which Hodgkin and Huxley won the 1963 Nobel Prize in physiology or medicine.
While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural network. In neuroscience , a biological neural network is a physical structure found in brains and complex nervous systems – a population of nerve cells connected by synapses .