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Updated: Aug 1, 2026

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神经模型. 神经模型. 皮质中的单试点尖列车揭示了决策过程中的离散步骤

Kenneth W Latimer1, Jacob L Yates1, Miriam L R Meister2

  • 1Center for Perceptual Systems, The University of Texas at Austin, Austin, TX 78712, USA. Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA.

Science (New York, N.Y.)
|July 11, 2015
PubMed
概括

的侧侧内 (LIP) 区域的神经元可能不会逐渐积累证据. 相反,他们的射击率可能涉及离散的"步骤",提供比传统的尖峰计数更多的选择信息.

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相关概念视频

The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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.