Spontaneous Activity and Evoked response change to 100ms temporal stimulation in Dissociated Neuronal Networks

Chih-Hsiang Chang, Kenta Simba, Takahiro Asahina, K. Kotani, Y. Jimbo
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Abstract

Temporal learning is one of the most basic ability within human brain, which enables people to perform complex tasks as playing and skilled works. However, the mechanism is not well understood. Recent studies have shown that neurons in whole cell recording in brain slices have ability to remember given time interval stimulation. However, the mechanism behind temporal memory and how the learned pattern changes performance within network spontaneous activity remains unknown. To understand the effect of temporal learning in network activity, our team uses in vitro models present as the simplest neuronal network for studying properties of network dynamics, and show how activity changes to learned stimulation in neuronal networks, which may imply long term learning also possess within cortical cultures.
游离神经元网络在100ms时间刺激下的自发活动和诱发反应变化
时间学习是人类大脑最基本的能力之一,它使人们能够完成复杂的任务,如玩耍和熟练的工作。然而,其机制尚不清楚。近年来的研究表明,全细胞脑切片记录的神经元在给定的时间间隔刺激下具有记忆能力。然而,时间记忆背后的机制以及学习模式如何改变网络自发活动中的表现仍然未知。为了了解网络活动中时间学习的影响,我们的团队使用体外模型作为最简单的神经网络来研究网络动力学的特性,并显示神经网络中活动如何随着学习刺激而变化,这可能意味着长期学习也在皮层培养中具有。
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