Then, we can reason aboutwhywe do it. Writing a program most of the time is a problem solution. Code essence is sourced from the need of solving a problem. Making something simpler is part of the solution, it dissolves the problem bit by bit. Writing an article is sometimes a problem ...
来自 Semantic Scholar 喜欢 0 阅读量: 7 作者: M Visentin 摘要: In this paper I propose a model to represent the organizational learning process at group level. In the first part of the work I set up an analytical framework starting from the variety of research purposes and epistemological ...
A neural model of the dynamic activation of memory We study an Attractor Neural Network that stores natural concepts, organized in semantic classes. The concepts are represented by distributed patterns over... M Herrmann,E Ruppin,M Usher - 《Biological Cybernetics》 被引量: 84发表: 1993年 ...
We propose to model the set of features using the energy-based model to explicitly represent the probability distribution function of the random finite set (RFS) features. • We propose to learn the parameters of the RFS energy on the high dimension to avoid the decoupling problem due to dim...
Such a rapid mechanism for constructing concepts is considered to be a key component of a more general “single-interval” model of concept manipulation that enables complete sentences to be organized during the time required for neural discharge to move directly across a multilayered network. The ...
The effect of lateral stabilization on walking in young and old adults. We tested how lateral stability affects gait as a function of age. A simple computational model suggests that walking is laterally unstable and that age-re... JC Dean,NB Alexander,AD Kuo - 《IEEE Trans Biomed Eng》 被...
Interpreting Transformer's Attention Dynamic Memory and Visualizing the Semantic Information Flow of GPT Recent advances in interpretability suggest we can project weights and hidden states of transformer-based language models (LMs) to their vocabulary, a tran... S Katz,Y Belinkov - 《Arxiv》 被引...
Cognitive Space (ConN): The domain of mental processes, including perception, memory, reasoning, and problem-solving. Semantic Space (SemA): The network of meanings, language, symbols, and associations between concepts. Conscious Space: The layer encompassing awareness, self-reflection, ethical conside...
The left-predominant patients showed more severe deficits in performance of the verbal task than the right-predominant patients, whereas the two groups of patients presented comparable deficits in the performance of the nonverbal task. These findings refined the structure of semantic network in the ...
model, where all items carry equal complexity. Crucially, we also assessed whether sub-regions within the frontal and temporal hubs of the speech network support high-level, fully phonological representations of vowels exclusively, rather than sharing sensitivity to lower-level acoustic stimuli (pure ...