The secret is at the crossways: Hodotopic organization and nonlinear dynamics of brain neural networks

Tobias A. Mattei

首页> 外文期刊>Behavioral and Brain Sciences >The secret is at the crossways: Hodotopic organization and nonlinear dynamics of brain neural networks

【24h】

The secret is at the crossways: Hodotopic organization and nonlinear dynamics of brain neural networks

机译：秘诀在于十字路口：同位异位组织和脑神经网络的非线性动力学

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

By integrating the classic psychological principles of ancient art of memory (AAOM) with the most recent paradigms in cognitive neuroscience (i.e., the concepts of hodotopic organization and nonlinear dynamics of brain neural networks), Llewellyn provides an up-to-date model of the complex psychological relationships between memory, imagination, and dreams in accordance with current state-of-the-art principles in neuroscience.

机译：通过将古代记忆艺术（AAOM）的经典心理学原理与认知神经科学的最新范例（即，全位组织的概念和脑神经网络的非线性动力学）相结合，Llewellyn提供了最新的模型记忆，想象力和梦想之间的复杂心理关系，符合当前神经科学的最新原理。

著录项

来源
《Behavioral and Brain Sciences》 |2013年第6期|623-624|共2页
作者
Tobias A. Mattei;
展开▼
作者单位

Interdisciplinary Group for Research in Neuroscience, Epistemology and Cognition, Neurological Department, The Ohio State University, Columbus, OH 43210;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. A re-examination of neural basis of language processing: Proposal of a dynamic hodotopical model from data provided by brain stimulation mapping during picture naming [J] . Hugues Duffau, Sylvie Moritz-Gasser, Emmanuel Monnet Brain and language . 2014,第Null期

机译：重新审视语言处理的神经基础：根据图片命名过程中脑刺激映射提供的数据提出动态全位模型的建议
2. Tracking control of multi-input affine nonlinear dynamical systems with unknown nonlinearities using dynamical neural networks [J] . Rovithakis G.A. IEEE transactions on systems, man, and cybernetics. Part B . 1999,第2期

机译：非线性未知的多输入仿射非线性动力系统的动力学神经网络跟踪控制
3. Tracking control of multi-input affine nonlinear dynamical systemswith unknown nonlinearities using dynamical neural networks [J] . Rovithakis G.A. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics . 1999,第2期

机译：非线性未知的多输入仿射非线性动力系统的动力学神经网络跟踪控制
4. Self-organization of mosaics in artificial neural networks for the visual cortex of the brain [C] . Garliauskas A. Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001 . 2001

机译：人工神经网络中大脑视觉皮质的马赛克的自组织
5. Large-Scale Neural Network Modeling: From Neuronal Microcircuits to Whole-Brain Complex Network Dynamics [D] . Liu, Qin 2018

机译：大规模神经网络建模：从神经元微电路到全脑复杂网络动力学
6. Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks [O] . Radhakrishnan Nagarajan -1

机译：使用递归神经网络破译短时间序列中的动力学非线性
7. Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks [O] . Radhakrishnan Nagarajan 2019

机译：使用经常性神经网络在短时间序列中解读动态非线性
8. Nonlinear Dynamics and Stability of Analog Neural Networks [R] . Marcus, C. M., Waugh, F. R., Westervelt, R. M. 1991

机译：模拟神经网络的非线性动力学与稳定性

The secret is at the crossways: Hodotopic organization and nonlinear dynamics of brain neural networks

摘要

著录项

相似文献

相关主题

期刊订阅