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首页> 外文期刊>Journal of Cognitive Neuroscience >The Hippocampus and Cerebellum in Adaptively Timed Learning, Recognition, and Movement
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The Hippocampus and Cerebellum in Adaptively Timed Learning, Recognition, and Movement

机译:自适应定时学习,识别和运动中的海马和小脑

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The concepts of declarative memory and procedural memory have been used to distinguish two basic types of learning. A neural network model suggests how such memory processes work together as recognition learning, reinforcement learning, and sensorimotor learning take place during adaptive behaviors. To coordinate these processes, the hippocampal formation and cerebellum each contains circuits that learn to adaptively time their outputs. Within the model, hippocampal timing helps to maintain attention on motivationally salient goal objects during variable task-related delays, and cerebellar timing controls the release of conditioned responses. This property is part of the model's description of how cognitive-emotional interactions focus attention on motivationally valued cues, and how this process breaks down due to hippocampal ablation. The model suggests that the hippocampal mechanisms that help to rapidly draw attention to salient cues could prematurely release motor commands were not the release of these commands adaptively timed by the cerebellum. The model hippocampal system modulates cortical recognition learning without actually encoding the representational information that the cortex encodes. These properties avoid the difficulties faced by several models that propose a direct hippocampal role in recognition learning. Learning within the model hippocampal system controls adaptive timing and spatial orientation. Model properties hereby clarify how hippocampal ablations cause amnesic symptoms and difficulties with tasks which combine task delays, novelty detection, and attention toward goal objects amid distractions. When these model recognition, reinforcement, sensorimotor, and timing processes work together, they suggest how the brain can accomplish conditioning of multiple sensory events to delayed rewards, as during serial compound conditioning.
机译:声明性记忆和程序性记忆的概念已被用来区分两种基本的学习类型。一个神经网络模型表明,这种记忆过程是如何在适应性行为期间一起进行认知学习,强化学习和感觉运动学习的。为了协调这些过程,海马结构和小脑各包含学习如何自适应地计时其输出的电路。在该模型中,海马时间有助于在与任务相关的可变延迟期间保持对动机突出目标对象的关注,而小脑时间则控制条件反应的释放。该属性是该模型描述的一部分,该模型描述了认知与情感的互动如何将注意力集中在具有动机价值的线索上,以及该过程如何因海马消融而中断。该模型表明,有助于快速引起注意的海马机制可能会过早释放运动命令,而不是小脑自适应地定时释放这些命令。模型海马系统可调节皮质识别学习,而无需实际编码皮质编码的表示性信息。这些特性避免了提出识别学习中直接海马角色的几种模型所面临的困难。模型海马系统内的学习控制自适应的时间安排和空间方向。因此,模型属性阐明了海马消融如何导致遗忘症状和任务困难,这些任务将任务延迟,新颖性检测和注意力分散在目标物体上的结合起来。当这些模型识别,增强,感觉运动和计时过程协同工作时,它们暗示了大脑如何完成多个感觉事件的调节以延缓奖赏,就像在串行复合调节过程中一样。

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