部分地是为了回应这种担忧,一些学者提出了综合性的认知计算神经科学(cognitive computational neuroscience),其将心理学理论同神经实现机制相连接(Naselaris et al. 2018; Kriegeskorte and Douglas 2018)。基本思路是用神经网络模型阐明,在大脑中心灵进程是如何被实例化的,从而将多重可实现的认知描述建立在神经生理学基础...
One long-standing challenge of the detailed simulation approach lies in its exceedingly high computational cost, which has severely limited its application to neuroscience and AI. The major bottleneck of the simulation is to solve linear equations based on the foundational theories of detailed modeling1...
Over the past 20 years, neuroscience has been propelled forward by theory-driven experimentation. We consider the future outlook for the field in the age of big neural data and powerful artificial intelligence models. What does the future of neuroscience look like in the ag...
We are a systems and computational neuroscience laboratory whose primary research focuses on how task-relevant latent variables and multi-sensory signals flow dynamically across brain areas to generate perception and cognition, how hierarchical causal inference is implemented in the brain, how beliefs prop...
期刊名称:《Computational intelligence and neuroscience》 | 2007年第aea期 22.An Algorithm for Idle-State Detection in Motor-Imagery-Based Brain-Computer Interface 机译:基于运动图像的脑机接口中的空闲状态检测算法 作者:DanZhang;YijunWang;XiaorongGao;BoHong;ShangkaiGao 期刊名称:《Computational intelligence...
o 4.3 Systematicity and productivity o 4.4 Computational neuroscience · 5. Computation and representation o 5.1 Computation as formal o 5.2 Externalism about mental content o 5.3 Content-involving computation · 6. Alternative conceptions of computation ...
Artificial intelligence (AI) researchers currently believe that the main approach to building more general model problems is the big AI model, where existing neural networks are becoming deeper, larger and wider. We term this the big model with external
期刊名称:《Computational Intelligence and Neuroscience》 | 2021年第-1期 4.Human Gait Recognition Based on Multiple Feature Combination and Parameter Optimization Algorithms 机译:基于多个特征组合和参数优化算法的人体步态识别 作者:Farong Gao;Taixing Tian;Ting Yao;Qizhong Zhang 期刊名称:《Computational Inte...
The aims of this paper are threefold: To show that game-playing (GP), the discipline of Artificial Intelligence (AI) concerned with the development of automated game players, has a strong epistemological relevance within both AI and the vast area of cognitive sciences. In this context games can...
Flatiron Research Fellow at Center for Computational Neuroscience position is available at Center for Computational Neuroscience, Simons Foundation. Applications are invited for Flatiron Research Fellowships (FRF) at the Center for Computational Neurosci