A neural circuit model forming semantic network with exception using spike-timing-dependent plasticity of inhibitory synapses

作者：Murakoshi Kazushi^*; Suganuma Kyoji

来源：Biosystems, 2007, 90(3): 903-910.

DOI：10.1016/j.biosystems.2007.06.001

• spike-timing-dependent plasticity
• inhibitory connection
• semantic network
• exception

We propose a neural circuit model forming a semantic network with exceptions using the spike-timing-dependent plasticity (STDP) of inhibitory synapses. To evaluate the proposed model, we conducted nine types of computer simulation by combining the three STDP rules for inhibitory synapses and the three spike pairing rules. The simulation results obtained with the STDP rule for inhibitory synapses by Haas et at. [Haas, J.S., Nowotny, T., Abarbanel, H.D.I., 2006, Spike-timing-dependent plasticity of inhibitory synapses in the entorhinal cortex. J. Neurophysiol. 96, 3305-3313] are successful, whereas, the other results are unsuccessful. The results and examinations suggested that the inhibitory connection from the concept linked with an exceptional feature to the general feature is necessary for forming a semantic network with an exception.

• 出版日期2007-12