CAREER: Information Storage in a Biophysical Model of the Hippocampal CA3 Neural Network

海马体结构是大脑的一个区域，对学习和记忆的某些方面非常重要。这个项目的目标是研究海马体的一个重要组成部分，即CA3区，如何处理、存储和回忆特定的信息模式。CA3神经网络的计算模型将用于检验假设。有关抑制神经元的放电特性和突触传递的某些方面的特定参数将使用最先进的电生理记录方法从海马片中的神经元获得。根据已公布的数据和来自抑制性神经元的实验数据，计算机网络将包含1000到10000个神经元。该网络的一个关键特征是，锥体神经元之间的兴奋性连接将根据突触增强和抑制的生物物理规则而增强或抑制。CA3网络将用不同的输入模式进行训练，以测试以下问题：1)网络能否区分输入模式，2)网络能否完成部分呈现的模式，以及2)信息是否分布在网络上。这项工作对于我们理解海马体的这一区域如何参与关联信息存储将是重要的。

IBN-9511309 Jaffe The hippocampal formation is a region of the brain that is important for certain aspects of learning and memory. The goal of this project is to examine how an important component of the hippocampus, the CA3 region, might process, store and recall specific patterns of information. A computational model of the CA3 neural network will be used to test hypotheses. Specific parameters regarding the firing properties of inhibitory neurons and certain aspects of synaptic transmission will be obtained using state-of-the-art electrophysiological recording methods from neurons in hippocampal slices. The computer network will contain 1,000 to 10,0000 neurons based on published data and the experimental data from inhibitory neurons. A key feature of the network will be that excitatory connections between pyramidal neurons will potentiate or depress based on biophysical rules for synaptic potentiation and depression. The CA3 network will be trained with different patterns of input to test the following: 1) can the network can discriminate between input patterns, 2) can the network complete partially presented patterns, and 2) is information distributed across the network. This work will be important for our understanding of how this region of the hippocampus is involved in associative information storage.