Equalizing synaptic efficacies across the dendritic tree

均衡树突树上的突触功效

• 批准号: 6691290
• 负责人: CLIFTON C RUMSEY
• 金额: $ 2.59万
• 依托单位: BRANDEIS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2006-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6691290
• 关键词: action potentials; cell morphology; computational neuroscience; dendrites; neural plasticity; neurons; predoctoral investigator; soma; synapses

DESCRIPTION (provided by applicant): In some types of neurons, the distributed synapses onto a neuron are location-independent in the sense that, regardless of a synapse's distance from the soma, each synapse has an equal efficacy for inducing postsynaptic action potentials. This occurs because the postsynaptic conductance at more distal synapses is scaled up, counteracting the electrotonic attenuation. It is unknown, however, how such a configuration is generated and maintained. The answer may lie in a particular form of spike-timing dependent plasticity (STDP) called anti-STDP. This idea will be tested in biologically realistic neuron models. In particular, both an active equivalent cable model and a NEURON simulation using realistic neuron morphologies will be used to explore this idea. Additionally, these models will be used to explore the interaction between conventional STDP and anti-STDP. At issue is the general question of how learning mechanisms and homeostatic mechanisms coexist within neurons to provide a balance of both synaptic input selectivity and synaptic input equalization.

描述（由申请人提供）：在某些类型的神经元中，神经元上分布的突触是位置无关的，即无论突触与胞体的距离如何，每个突触对于诱导突触后动作电位都具有相同的功效。发生这种情况是因为更远端突触的突触后电导按比例放大，抵消了电紧张衰减。然而，尚不清楚如何生成和维护这样的配置。答案可能在于一种特殊形式的尖峰时间依赖性可塑性 (STDP)，称为反 STDP。这个想法将在生物学上真实的神经元模型中进行测试。特别是，将使用有源等效电缆模型和使用真实神经元形态的神经模拟来探索这一想法。此外，这些模型将用于探索传统 STDP 和抗 STDP 之间的相互作用。争论的焦点是学习机制和稳态机制如何在神经元内共存，以提供突触输入选择性和突触输入均衡的平衡。