BABEL

巴贝尔

• 批准号: EP/J004561/1
• 负责人: Angelo Cangelosi
• 金额: $ 153.21万
• 依托单位: Plymouth University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FJ004561%2F1
• 关键词: BABEL

Recent advances in behavioural and computational neuroscience, in cognitive robotics, and in the hardware implementation of large-scale neural networks, provide the opportunity for an accelerated understanding of brain functions and for the design of interactive robotic systems based on brain-inspired control systems. This is especially the case in the domain of action and language learning, given the significant scientific and technological developments in this field. This project aims at advancing the understanding of neural and behavioural mechanisms in word learning, the validation of these principles in neuroanatomically grounded models, and real-time implementations of brain language models within the SpiNNaker neuromorphic architecture that will support comparisons with neuroimaging experiments. The scientific hypotheses and cortical language model will also be validated by implementing a model of embodied active language learning on the humanoid robot iCub. Specifically, in the project we will develop, based on neuroscientific principles, a theory of language learning at the neural circuit level and build a neurocomputational model of the language cortex that implements the learning of words used to speak about objects and actions in large-scale neuronal circuits. This theoretical work will be supported by novel, hypothesis-driven brain imaging investigations using MEG, EEG and fMRI to identify the neural correlates and mechanisms of the learning of words for objects and actions. Imaging results will inform the improvement of the large-scale neuroanatomical models. These models will be implemented on the SpiNNaker software and hardware infrastructure, to implement a scaled-up real-time model of the language cortex using more realistic spiking activity. Finally, the project will translationally apply these neuro-anatomical models and SpiNNaker system as controllers for language and action learning simulations with the humanoid robot iCub, within the embodied and active learning context where the semantics of the language is directly driven by the context of object manipulation tasks.This is a highly interdisciplinary project that integrates essential expertise and methodologies from neuromorphic engineering, computational and experimental neuroscience, and cognitive robotics. The project is based around the unique and strategic partnership of applicants with an international track record in these areas of expertise and with previous collaborative experience. Furthermore, the project will benefit from an International Advisory Board, with both academic and industrial advisors, to foster the international dimension and impact of the project.

行为和计算神经科学、认知机器人以及大规模神经网络的硬件实现方面的最新进展，为加速理解大脑功能以及基于大脑启发控制系统的交互式机器人系统的设计提供了机会。鉴于该领域科学技术的重大发展，在行动和语言学习领域尤其如此。该项目旨在促进对单词学习中神经和行为机制的理解，在神经解剖学基础模型中验证这些原理，以及在 SpiNNaker 神经形态架构中实时实现大脑语言模型，以支持与神经影像实验的比较。科学假设和皮质语言模型也将通过在人形机器人 iCub 上实施具体主动语言学习模型来验证。具体来说，在该项目中，我们将基于神经科学原理，开发神经回路层面的语言学习理论，并构建语言皮层的神经计算模型，实现大规模用于谈论物体和动作的单词的学习神经元回路。这项理论工作将得到新颖的、假设驱动的大脑成像研究的支持，这些研究使用脑磁图、脑电图和功能磁共振成像来识别物体和动作的单词学习的神经关联和机制。成像结果将为大规模神经解剖模型的改进提供信息。这些模型将在 SpiNNaker 软件和硬件基础设施上实现，以使用更真实的尖峰活动来实现语言皮层的放大实时模型。最后，该项目将转化应用这些神经解剖模型和 SpiNNaker 系统作为人形机器人 iCub 的语言和动作学习模拟的控制器，在具体和主动的学习环境中，其中语言的语义直接由对象的上下文驱动操纵任务。这是一个高度跨学科的项目，整合了神经形态工程、计算和实验神经科学以及认知机器人学的基本专业知识和方法。该项目基于申请人之间独特的战略合作伙伴关系，这些申请人在这些专业领域拥有国际业绩记录并拥有以前的合作经验。此外，该项目还将受益于由学术和工业顾问组成的国际顾问委员会，以促进该项目的国际影响力。

项目成果

Neural Information Processing

神经信息处理

• DOI: 10.1007/978-3-319-70136-3
• 发表时间: 2024-09-13

Short-term plasticity in a liquid state machine biomimetic robot arm controller

液态机仿生机器人手臂控制器的短期可塑性

• DOI: http://dx.10.1109/ijcnn.2017.7966283
• 发表时间: 2017
• 作者: De Azambuja R

Neural Information Processing

神经信息处理

• DOI: http://dx.10.1007/978-3-319-46687-3_21
• 发表时间: 2016
• 作者: De Azambuja R

Is the Motor System Necessary for Processing Action and Abstract Emotion Words? Evidence from Focal Brain Lesions.

运动系统对于处理动作和抽象情感词是必需的吗？

• DOI: http://dx.10.3389/fpsyg.2015.01661
• 发表时间: 2015
• 期刊: Frontiers in psychology
• 作者: Dreyer FR

Brain basis of communicative actions in language.

语言交流动作的大脑基础。

• DOI: http://dx.10.1016/j.neuroimage.2015.10.055
• 发表时间: 2016
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Egorova N