Learning, epigenetics, and computation: An extension on Fitch's proposal Comment on 'Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition' by W. Tecumseh Fitch

Kazuo Okanoya

首页> 外文期刊>Physics of life reviews >Learning, epigenetics, and computation: An extension on Fitch's proposal Comment on 'Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition' by W. Tecumseh Fitch

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Learning, epigenetics, and computation: An extension on Fitch's proposal Comment on 'Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition' by W. Tecumseh Fitch

机译：学习，表观遗传学和计算：对Fitch提议的扩展。W. Tecumseh Fitch对“建立认知生物学的计算框架：统一来自认知神经科学和比较认知的方法”的评论

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The comparative computational approach of Fitch [1] attempts to renew the classical David Marr paradigm of computation, algorithm, and implementation, by introducing evolutionary view of the relationship between neural architecture and cognition. This comparative evolutionary view provides constraints useful in narrowing down the problem space for both cognition and neural mechanisms. I will provide two examples from our own studies that reinforce and extend Fitch's proposal.

机译：Fitch [1]的比较计算方法试图通过引入神经体系结构与认知之间关系的进化观点来更新经典的David Marr计算，算法和实现范例。这种比较进化的观点提供了有助于缩小认知和神经机制问题空间的约束条件。我将通过我们自己的研究提供两个例子，以加强和扩展惠誉的建议。

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《Physics of life reviews》 |2014年第3期|共2页
作者
Kazuo Okanoya;
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正文语种 eng
中图分类物理学;
关键词
Bengalese finches; Posterior cingulate cortex; Development; Epigenetics; Tinbergen;

机译：孟加拉雀科;后扣带回皮质;发育;表观遗传学;Tinbergen;

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1. Learning, epigenetics, and computation: An extension on Fitch's proposal Comment on "Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition" by W. Tecumseh Fitch [J] . Kazuo Okanoya Physics of life reviews . 2014,第3期

机译：学习，表观遗传学和计算：对Fitch提议的扩展。W. Tecumseh Fitch对“建立认知生物学的计算框架：统一来自认知神经科学和比较认知的方法”的评论
2. Cognitive theory and brain fact: Insights for the future of cognitive neuroscience Comment on "Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition" by W. Tecumseh Fitch [J] . Daniel Bowling Physics of life reviews . 2014,第3期

机译：认知理论和大脑事实：认知神经科学的未来见解W. Tecumseh Fitch评论“走向认知生物学的计算框架：统一认知神经科学和比较认知的方法”
3. Implementation is crucial but must be neurobiologically grounded Comment on "Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition" by W. Tecumseh Fitch [J] . Ina Bornkessel-Schlesewsky, Matthias Schlesewsky, Steven L. Small Physics of life reviews . 2014,第3期

机译：实施至关重要，但必须以神经生物学为基础。W. Tecumseh Fitch对“建立认知生物学的计算框架：统一来自认知神经科学和比较认知的方法”的评论
4. Modeling self-efficacy using the computational-Unified Learning Model (C-ULM): Implications for computational psychology and cognitive computing [C] . Shell Duane F., Soh Leen-Kiat, Chiriacescu Vlad IEEE International Conference on Cognitive Informatics Cognitive Computing . 2014

机译：使用计算统一学习模型（C-ULM）对自我效能进行建模：对计算心理学和认知计算的启示
5. Mental structures and hierarchical brain processing Comment on Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition by W. Tecumseh Fitch [O] . C.I. Petkov -1

机译：心理结构和分级大脑处理评论 W. Tecumseh Fitch撰写的建立认知生物学的计算框架：统一认知神经科学和比较认知的方法
6. Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition [O] . Fitch W. Tecumseh 2014

机译：建立认知生物学的计算框架：统一认知神经科学和比较认知的方法

Learning, epigenetics, and computation: An extension on Fitch's proposal Comment on 'Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition' by W. Tecumseh Fitch

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