Encoding modelling for working memory research: Pattern similarity, representational geometry, and model comparisondoi:10.1167/jov.24.10.1425Research into the neural basis of working memory relies heavily on the use of multivariate decoding techniques to ascertain the presence of neural representations of...
A neural model of schemas and memory encodingA neural model of schemas and memory encodingCatastrophic forgettingMemory consolidationSchemasSpatial navigationThe ability to rapidly assimilate new information is essential for survival in a dynamic environment. This requires experiences to be encoded alongside ...
(2014) A Model for Visual Memory Encoding. PLoS ONE, 9, e107761. http://dx.doi.org/10.1371/journal.pone.0107761Nenert, R., Allendorfer, J.B., Szaflarski, J.P., 2014. A model for visual memory encoding. PLOS One 9 (10), e107761. http://dx.doi.org/10.1371/journal.pone....
Fig. 2.Model of sleep-dependent hippocampal-neocortical memory consolidation. At encoding the hippocampus rapidly integrates information within distributed cortical modules. Successive sleep-dependent reactivation of this hippocampal-cortical network leads to progressive strengthening of cortico-cortical connections...
4.2.1 Coarse- & Fine-Grained Memory Encoding 粗粒度与细粒度记忆编码是作者Mem-SSM块的核心,因为它支撑了模型辨别和编码不同 Level 特征细节的能力。这种编码机制对于像缺陷检测这样的细腻任务至关重要,因为细微的区分可以决定正确的分类。 记忆编码过程从对中间特征集 ...
输入可以是一个/多个句子,一篇/几篇文章,包含语境信息和知识库等,使用 RNN 进行 encoding,每一个句子编码成固定维度的 state vector。具体做法是把句子拼到一起(每个句子结尾加标记符 EOS),用 GRU-RNN 进行编码,如果是单个句子,就输出每个词的 hidden state;如果是多个句子,就输出每个句子 EOS 标记对应的 ...
因为整个窗口的模式与问题模式更像,所以用它来对问题相关性评分可以找到最相关的memory,而答案往往就是实体,所以将窗口中心的实体作为value对生成答案更方便。 Window + Center Encoding Window + Title 4. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing-2016本文提出的DMN网络模型包含输入...
‘basic’ model in Fig.1. However, memories probably bind together representations along a spectrum from coarse-grained and conceptual to fine-grained and sensory. For example, the hippocampal encoding of a day at the beach is likely to bind together coarse-grained concepts such as ‘beach’ ...
(4) Noisy encoding. (5) Episodic memory. We first compared SQHN models to SoTA associative memory models on auto-associative and hetero-associative recall tasks. For both tasks, unaltered data points from a set Xtrain are presented to the model during training. In auto-association, during ...
Memory Networks经典论文阅读笔记,会包括Vanilla Memory Networks及其各种变形以及在NLP领域的应用。主要涉及一下论文: Memory Networks (Facebook AI Research/2015) End-To-End Memory Networks(2015) Key-Value Memory Networks for Directly Reading Documents(2016) ...