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...l geometry: Integrating cognition, computation, and the brain. ''Trends in Cognitive Sciences, 17''(8), 401–412. http://doi.org/10.1016/j.tics.2013.06.007</ref> ...e="Chella97">Chella, A., & Frixione, M., & Gaglio, S.; (1997). A Cognitive Architecture for Artificial Vision. ''Artificial Intelligence, 89''(1), 73–111. http://d ...

...les.com/local--files/start/grossberg1987-competitive_learning.pdf |journal=Cognitive Science |volume=11 |issue=1 |pages=23–63 |doi=10.1016/S0364-0213(87)80025-3 ...0.1207/s15516709cog0901_5/pdf Feature discovery by competitive learning]." Cognitive science 9.1 (1985): 75-112.</ref><ref>Haykin, Simon, "Neural Network. A com ...

| title = Chapters in Cognitive Science ...athbb{A}</math> has a [[subsumption architecture]]; each component of this architecture can be then represented as a formal grammar, too, and the final behavior of ...

...led information about a student’s cognitive strengths and weaknesses. This cognitive diagnostic feedback has the potential to guide instructors, parents and stu ...utes are represented using a hierarchical structure so the ordering of the cognitive skills is specified. This model provides a framework for designing diagnost ...

...lagoz, and S. Bayhan |title=Radio environment map as enabler for practical cognitive radio networks |journal=IEEE Commun. Mag. |date=2013|volume=51 |issue=12 |p ...le of a radio map estimate using ''STORM'', a [[Transformer (deep learning architecture)|transformer]]-based radio map estimator.]] ...

'''Node graph architecture''' is a [[software design]] structured around the notion of a [[#Node_Graph ...opters of this software design with the majority of tools using node graph architecture.{{Citation needed|date=October 2021}} ...

...f two fuzzy ART modules connected by an inter-ART map field to an extended architecture consisting of multiple ART modules. ..., Competitive learning: From interactive activation to adaptive resonance, Cognitive Science (Publication), 11, 23-63</ref> models developed by [[Stephen Grossb ...

...ases with memory load in an attractor network model | journal = Journal of Cognitive Neuroscience | volume = 23 | issue = 10 | pages = 3008–20 | date = October == Network architecture == ...

* Architecture of Parallel and Distributed Systems * Computer Architecture & Operating Systems ...

...tributed memory system]." Proceedings of the 35th annual conference of the cognitive science society. 2013.</ref> The SDM can be considered a Monte Carlo appro {{see also|Cognitive architecture|Artificial general intelligence}} ...

...el |first8=Hillel J. |date=2015-02-01 |title=The significance of dynamical architecture for adaptive responses to mechanical loads during rhythmic behavior |url=ht ...ics that describe neural processes, from single [[neuron]]s to [[Cognition|cognitive processes]] and large-scale neural systems. ...

...|Selective attention]] in humans had been well studied in neuroscience and cognitive psychology.<ref>{{Cite book |last1=Kramer |first1=Arthur F. |url=http://www ...gm]]. It was also noticed that [[Saccade|saccade control]] is modulated by cognitive processes, insofar as the eye moves preferentially towards areas of high [[ ...

...nd massively [[parallel computing|parallel]] processors, not [[von Neumann architecture|sequential]] processors. To model nervous systems accurately, in real-time, * [[Cognitive architecture]] ...

In [[biophysics]] and [[cognitive science]], the free energy principle is a mathematical principle describing ...COVID-19 pandemic |url=https://doi.org/10.3758/s13415-021-00947-0 |journal=Cognitive, Affective, & Behavioral Neuroscience |language=en |volume=21 |issue=6 |pag ...

...denberg (1968) "Genetic and environmental components in the covariation of cognitive abilities: An additive model", in [https://www.dropbox.com/s/uwhcnw4m2p5hbf ...ite journal|doi=10.1038/mp.2015.225|title=Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 G ...

...trol requirements, has been used in both robotics and for understanding of cognitive processes in living organisms, see [http://www.wikidoc.org/index.php/Morpho === Cognitive computing === ...

...lti-layered GMDH-type neural network self-selecting optimum neural network architecture and its application to 3-dimensional medical image recognition of blood ves A time delay neural network (TDNN) is a feedforward architecture for sequential data that recognizes [[Feature (machine learning)|features]] ...

...networks]], [[Vehicular ad hoc network|vehicular ''ad hoc'' networks]], [[cognitive radio]] networks and several types of [[cellular networks]], such as [[Hete ...its environment. The network type depends on such factors as the specific architecture (for instance cellular) and the channel or [[medium access control]] (MAC) ...

...BN|978-0-8194-5326-6}}, See Chapter: ''Counter-terrorism threat prediction architecture''</ref> ...

== Architecture == The architecture of a generic GNN implements the following fundamental [[Layer (deep learnin ...