caa a22 4500 606162984 CHVBK 20210128105226.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11062-015-9532-z doi (NATIONALLICENCE)springer-10.1007/s11062-015-9532-z Spike Timing-Dependent Plasticity in the CA1 Pyramidal Neuron in a Modeled Hippocampal Circuit [Elektronische Daten] [H. Ren, Sh. Liu, X. Zhang, Y. Zeng] Spike timing-dependent plasticity (STDP) plays an important role in sculpting information-storing circuits in the hippocampus, since motor learning and memory are thought to be closely linked with this classical plasticity. To further understand the information delivery in a hippocampus circuit, we build a computational model to study the potential role of linear changes in the synaptic weight and synaptic number. Several key results have been obtained: (i) Changes in the synaptic weight and numbers lead to different long-term modifications; (ii) the first paired spiking from two neurons significantly influences the adjusted subsequent paired spiking; the pre-post spiking pair strengthens the following paired spiking; however, the post-pre spiking pair depresses the subsequent spiking; (iii) when the synaptic weight and synaptic numbers are changed, the interval of the first spiking pair may undergo reduction, and (iv) when we stimulate a stellate neuron weakly or decrease the capacitance of the CA1 pyramidal neuron, LTP is more easily produced than LTD; on the contrary, LTD is more easily produced in an opposite situation; increase in the synaptic numbers can promote activation of the CA1 pyramidal neuron. Springer Science+Business Media New York, 2015 computational model nationallicence hippocampus nationallicence neuronal circuits nationallicence spike timing-dependent synaptic plasticity (STDP) nationallicence synaptic weight and number nationallicence Ren H. South China University of Technology, Department of Mathematics, Guangzhou, China aut Liu Sh South China University of Technology, Department of Mathematics, Guangzhou, China aut Zhang X. South China University of Technology, Department of Mathematics, Guangzhou, China aut Zeng Y. Beijing University of Technology, Biomedical Engineering Center, Beijing, China aut Neurophysiology Springer US; http://www.springer-ny.com 47/4(2015-08-01), 264-270 0090-2977 47:4<264 2015 47 11062 https://doi.org/10.1007/s11062-015-9532-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11062-015-9532-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ren H. South China University of Technology, Department of Mathematics, Guangzhou, China aut NATIONALLICENCE 700 1- Liu Sh South China University of Technology, Department of Mathematics, Guangzhou, China aut NATIONALLICENCE 700 1- Zhang X. South China University of Technology, Department of Mathematics, Guangzhou, China aut NATIONALLICENCE 700 1- Zeng Y. Beijing University of Technology, Biomedical Engineering Center, Beijing, China aut NATIONALLICENCE 773 0- Neurophysiology Springer US; http://www.springer-ny.com 47/4(2015-08-01), 264-270 0090-2977 47:4<264 2015 47 11062 SWISSBIB 561133646