Laboratory of Systemic Organization of Neurons, Institute of Theoretical and Experimental Biophysics of Russian Academy of Sciences, Pushchino, Russia.
Front Neural Circuits. 2023 Jul 6;17:1198573. doi: 10.3389/fncir.2023.1198573. eCollection 2023.
The theta rhythm plays a crucial role in synchronizing neural activity during attention and memory processes. However, the mechanisms behind the formation of neural activity during theta rhythm generation remain unknown. To address this, we propose a mathematical model that explains the distribution of interneurons in the CA1 field during the theta rhythm phase. Our model consists of a network of seven types of interneurons in the CA1 field that receive inputs from the CA3 field, entorhinal cortex, and local pyramidal neurons in the CA1 field. By adjusting the parameters of the connections in the model. We demonstrate that it is possible to replicate the experimentally observed phase relations between interneurons and the theta rhythm. Our model predicts that populations of interneurons receive unimodal excitation and inhibition with coinciding peaks, and that excitation dominates to determine the firing dynamics of interneurons.
θ 节律在注意和记忆过程中同步神经活动方面起着至关重要的作用。然而,θ 节律产生过程中神经活动形成的机制尚不清楚。为了解决这个问题,我们提出了一个数学模型,解释了 CA1 场中θ节律相位期间中间神经元的分布。我们的模型由 CA1 场中的七种类型的中间神经元网络组成,这些神经元接收来自 CA3 场、内嗅皮层和 CA1 场中的局部锥体神经元的输入。通过调整模型中连接的参数,我们证明可以复制实验观察到的中间神经元与θ节律之间的相位关系。我们的模型预测,中间神经元群体接收具有重合峰值的单峰兴奋和抑制,并且兴奋占主导地位,决定中间神经元的发射动力学。