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The estimation of neurotransmitter release probability in feedforward neuronal network based on adaptive synchronization
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10.1063/1.4775757
/content/aip/journal/chaos/23/1/10.1063/1.4775757
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/1/10.1063/1.4775757
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

Feedforward neuronal network.

Image of FIG. 2.
FIG. 2.

Block diagram of the parameter estimation of the original system with virtual system.

Image of FIG. 3.
FIG. 3.

Neurotransmitter release probability matrix of the original neuronal network.

Image of FIG. 4.
FIG. 4.

(a) The membrane potentials of the sensory neurons in the original network and the virtual network. The blue line is membrane potential of the sensory neuron in the original network, and the red line is membrane potential of the sensory neuron in the virtual network. The red line is almost fully covered by the blue one; (d) The error between the membrane potential in original network and the corresponding one in virtual network. The green line represents the timestamp where the controllers begin to be added to the sensory neurons of the virtual network.

Image of FIG. 5.
FIG. 5.

(a) The membrane potentials of the cortical neurons in the original network and the virtual network. The blue line represents membrane potential of the cortical neuron in the original network, and the red line is membrane potential of the cortical neuron in the virtual network; (b) The error between the membrane potential in original network and the corresponding one in virtual network. The green line represents the timestamp where the controllers begin to be added to the cortical neurons of the virtual network.

Image of FIG. 6.
FIG. 6.

(a) Evolution of the synaptic connections estimated by virtual network; (b)Evolution of one of the synaptic connections: the red line is the evolution of the synaptic connection in the original network, and the blue line presents the evolution of corresponding synaptic connection in the virtual network.

Image of FIG. 7.
FIG. 7.

(a) The neurotransmitter release probability matrix of the virtual network; (b) The estimation error between the probability matrix of the virtual network and the one of the original network; (c) t-test matrix, 0 represents acceptance, and 1 represents rejection.

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/content/aip/journal/chaos/23/1/10.1063/1.4775757
2013-01-15
2014-04-17
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: The estimation of neurotransmitter release probability in feedforward neuronal network based on adaptive synchronization
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/1/10.1063/1.4775757
10.1063/1.4775757
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