2022年10月10日,山西中医药大学马存根教授课题组基于本团队与其他团队近几年来的研究成果,在《神经再生研究》(Neural Regeneration Research)上发表了题为“The effects and potential of microglial polarization and crosstalk with other cells of the central nervous system in the treatment of Alzheimer’s disease...
doi:10.1007/978-1-4899-6778-7_3Richard F. ThompsonBirkhäuser BostonThompson RF.Learning and memory,neural mechanisma.Encyclopedia of Neuroscience. 1987
In this talk, impact of neural dynamics in information processing, cognitive abilities and impairment will be briefly discussed with a few examples.Then he will introduce models of neural computing from machine learning. Finally, he will give an outlook on future research. 分享大纲 简介:大脑作为多...
Memory extinction, learning anew, and learning the new: dissociations in the molecular machinery of learning in cortex. Science 291: 2417–2419. Article CAS PubMed Google Scholar Berretta S, Pantazopoulos H, Caldera M, Pantazopoulos P, Pare D (2005). Infralimbic cortex activation increases ...
高水平英语学习者在阅读环境中学习英语新词神经机制:内隐学习与外显学习界面问题-neural mechanism of high-level english learners learning english neologisms in reading environment implicit learning and explicit learning interface problems.docx,中文摘 中文摘
(Bragin et al., 1995), entorhinal cortex (Chrobak and Buzsáki, 1998), amygdala, corpus striatum, bulbus olfactorius, thalamus (Guan et al., 2022), etc.learning memory (Gillespie et al., 2016), attention (Gregoriou et al., 2009), sensory feature binding (Gruber and Müller, 2002), ...
(NeurIPS)(opens in new tab), we demonstrate how to use a deep neural network itself as a memory mechanism. We propose a new model, Metalearned Neural Memory (MNM), in which we store data in the parameters of a deep network and use the function defined by that...
Artificial neural networks suffer from catastrophic forgetting. Unlike humans, when these networks are trained on something new, they rapidly forget what was learned before. In the brain, a mechanism thought to be important for protecting memories is the
McClelland, J. L., McNaughton, B. L., & O’Reilly, R. C. (1995). Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.Psychological Review. ...
The speed control mechanism can be understood by analyzing system dynamics in the phase plane of u and v (middle; after Wang et al.7). Dots represent u and v over time for a large (pink) or small (blue) input for no noise and with initial conditions set so that that u eventually ...