Cognitive Computation
Cognitive Computation(英文缩写 COGN COMPUT),ISSN 1866-9956,eISSN 1866-9964 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-09-21 至 2026-09-21，按本站收录文献的发表日期统计。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 4.890 | Q2 |
| 2022 | 5.400 | Q1 |
| 2023 | 4.300 | Q1 |
| 2024 | 4.300 | Q1 |
| 2025 | 7.400 | Q1 |
Cognitive Computation 最新收录文献
※ 中文译文由 AI 辅助生成,仅供学术参考,请以英文原文为准。
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1. Empirically Testing Explanation Preferences in Computational Argumentation.
PMID:作者:日期:2026-01-01Computational argumentation is an AI approach for creating human-understandable systems and explanations. Within the computational argumentation literature, explanation definitions based on principles from cognitive science have been created to provide explanations, that is, to reduce the informatio…
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2. Keying Into Cognition: Temporal Smoothing of Smartphone Typing Behaviors for Passive Assessment of Processing Speed and Executive Function in Individuals With Mood Disorders.
PMID:作者:日期:2026-01-01Cognitive deficits commonly affect everyday life for individuals with mood disorders, even between mood episodes. Monitoring of these symptoms can pose several challenges due to the limitations of current methods, prompting the need for enhanced modalities to unobtrusively and objectively measure co…
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3. Neurodynamical Computing at the Information Boundaries of Intelligent Systems.
3. 智能系统信息边界的神经动力学计算PMID:作者:日期:2024-01-01Artificial intelligence has not achieved defining features of biological intelligence despite models boasting more parameters than neurons in the human brain. In this perspective article, we synthesize historical approaches to understanding intelligent systems and argue that methodological and epist…
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4. Large-Kernel Attention for 3D Medical Image Segmentation.
PMID:作者:日期:2024-01-01Automated segmentation of multiple organs and tumors from 3D medical images such as magnetic resonance imaging (MRI) and computed tomography (CT) scans using deep learning methods can aid in diagnosing and treating cancer. However, organs often overlap and are complexly connected, characterized by e…
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5. Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation.
PMID:作者:日期:2023-07-01Prefrontal cortical neurons play essential roles in performing rule-dependent tasks and working memory-based decision making. Motivated by PFG recordings of task-performing mice, we developed an excitatory-inhibitory spiking recurrent neural network (SRNN) to perform a rule-dependent two-alternative…
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6. Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus.
PMID:作者:日期:2023-07-01Hippocampal area CA3 performs the critical auto-associative function underlying pattern completion in episodic memory. Without external inputs, the electrical activity of this neural circuit reflects the spontaneous spiking interplay among glutamatergic pyramidal neurons and GABAergic interneurons. …
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7. Cognitively Enhanced Versions of Capuchin Search Algorithm for Feature Selection in Medical Diagnosis: a COVID-19 Case Study.
PMID:作者:日期:2023-06-05Feature selection (FS) is a crucial area of cognitive computation that demands further studies. It has recently received a lot of attention from researchers working in machine learning and data mining. It is broadly employed in many different applications. Many enhanced strategies have been created …
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8. Deep Learning Based Traffic Prediction Method for Digital Twin Network.
PMID:作者:日期:2023-05-27Network traffic prediction (NTP) can predict future traffic leveraging historical data, which serves as proactive methods for network resource planning, allocation, and management. Besides, NTP can also be applied for load generation in simulated and emulated as well as digital twin networks (DTNs).…
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9. Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets.
PMID:作者:日期:2023-03-20For several decades, sentiment analysis has been considered a key indicator for assessing market mood and predicting future price changes. Accurately predicting commodity markets requires an understanding of fundamental market dynamics such as the interplay between supply and demand, which are not c…
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10. Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification.
PMID:作者:日期:2023-02-15The interpretation of biological data such as the ElectroCardioGram (ECG) signal gives clinical information and helps to assess the heart function. There are distinct ECG patterns associated with a specific class of arrhythmia. The convolutional neural network, inspired by findings in the study of b…