We propose a neural model of multi-spin interacting system simulating neurons that interact each other through the surroundings . In such open system approach, we consider the neurons coupled with their surroundingsincluding the axons connecting between neurons and the glial cells which distribute around the neurons. The surrounding environment is physically modeled as a collection of all kinds of vibrational modes . By solving the dynamics of neurons, we analyze the neural collective behavior . The action potential is taken into account for simulating the environmental effect from the surroundings, which mimics the neural firing mechanism. We find that this model can generate random neuron-neuron interactions and is proper to describe the process of information transmission in the nervous system . The physical meaning behind the scene can also be explained .
We propose a neural network model of multi-neuron interacting system that simulates neurons to interact each other through the surroundings of neuronal cell bodies. We physically model the neuronal cell surroundings, include the dendrites, the axons and the synapses as well as the surrounding glial cells, as a collection of all kinds of oscillating modes arisen from the electric circuital environment of neuronal action potentials. By analyzing the dynamics of this neural model through the master equation approach of open quantum systems, we investigate the collective behavior of neurons. After applying stimulations to the neural network, the neuronal collective state is activated and shows the action potential behavior . We find that this model can generate random neuron-neuron interactions and is proper to describe the process of information transmission in the nervous system physically, which may pave a potential route toward understanding the dynamics of nervous system .
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model of multi-spin interacting system simulating neurons that
network model of multi-neuron interacting system that simulates neurons to
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. In such open system approach, we consider the neurons coupled with their surroundingsincluding the axons connecting between neurons and the glial cells which distribute around the neurons. The surrounding environment is physically modeled
of neuronal cell bodies. We physically model the neuronal cell surroundings, include the dendrites, the axons and the synapses as well as the surrounding glial cells,
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vibrational modes . By solving
oscillating modes arisen from the electric circuital environment of neuronal action potentials. By analyzing
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neurons, we analyze the neural collective behavior
this neural model through the master equation approach of open quantum systems, we investigate the collective behavior of neurons. After applying stimulations to the neural network, the neuronal collective state is activated and shows the action potential behavior
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The action potential is taken into account for simulating the environmental effect from the surroundings, which mimics the neural firing mechanism.
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. The physical meaning behind the scene can also be explained
physically, which may pave a potential route toward understanding the dynamics of nervous system