脱离单个神经元束衣:组合中的神经元改变选择性,它们的重新配置是动态编码的基础
Fabrizio Londei1,2, Francesco Ceccarelli1,3, Giulia Arena1,2,3
1Department of Physiology and Pharmacology, Sapienza University of Rome, Rome, Italy.
The Journal of physiology
|July 10, 2025
概括
额叶皮层组合中的神经元在协调时与孤立时编码不同. 这种集体活动使神经元能够编码新信息,在目标动作转换过程中从静态编码转向动态编码.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 计算神经科学是一种神经科学.
背景情况:
- 神经元编码特性传统上是使用所有神经活动来评估的.
- 在细胞组合中神经元协调的作用仍然不太了解.
- 研究神经元如何为动态神经网络中的编码做出贡献至关重要.
研究的目的:
- 研究神经元在细胞组合中协调时神经元对编码的贡献如何发生变化.
- 区分孤立的神经元编码和组件内的集体编码.
- 探索神经元组合重新配置和动态与静态编码之间的关系.
主要方法:
- 在区分任务期间,对子前额皮层的神经活动的分析.
- 特别是在细胞组装激活期间提取神经元尖峰 (组装尖峰).
- 使用全神经元活动与组件特定活动的编码属性的比较.
主要成果:
- 神经元对编码的贡献在集合内协调时与孤立地行动时有所不同.
- 在多个组合中灵活参与的神经元编码未被单个神经元捕获的信息.
- 即使是非选择性神经元也通过集体组装活动获得选择性,在目标-动作转换过程中展示动态编码.
结论:
- 细胞组合使神经元能够通过协调活动来处理不同的信息并编码新的变量.
- 动态编码源于神经元参与不同组件的重新配置.
- 一种以汇编为中心的方法揭示了对神经元编码灵活性和信息处理的更细致的理解.
相关概念视频
Assembly of Complex Microtubule Structures
1.9K
Complex microtubule structures are present in resting cells and in dividing cells. In resting cells, they are responsible for maintaining the cellular architecture, tracks for intracellular transport, positioning of organelles, assembly of cilia and flagella. They mediate the bipolar spindle assembly for chromosomal segregation and positioning of the cell division plate in dividing cells. The formation of microtubule complex structures depends on the cell type, cell stage, and cell function.
1.9K
Neuroplasticity
797
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
797
Neural Circuits
1.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.6K
Neuron Structure
225.5K
Overview
225.5K
Assembly of Signaling Complexes
5.9K
Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
5.9K
The Role of Ion Channels in Neuronal Computation
3.3K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.3K


