23 papers · ranked by Valyu relevance
Marcelo G. Mattar, Michael W. Cole, Sharon L. Thompson-Schill, Danielle S. Bassett + 1 more
'Danielle S. Bassett' 'Christopher J Honey'] One of the most remarkable features of the human brain is its ability to adapt rapidly and efficiently to external task demands. Novel and non-routine tasks, for example, are implemented faster than structural connections can be formed. The neural underpinnings of these…
George Spanoudis, Andreas Demetriou
The relations between the developing mind and developing brain are explored. We outline a theory of intellectual development postulating that the mind comprises four systems of processes (domain-specific, attention and working memory, reasoning, and cognizance) developing in four cycles (episodic, realistic…
Samaa Elnagar, Manoj Thomas
Cognitive computing (COC) aims to embed human cognition into computerized models. However, there is no scientific classification that delineates the nature of Cognitive Computing. Unlike the medical and computer science fields, Information Systems (IS) has conducted very little research on COC. Although the potential…
Toshiyuki Nakajima, Matteo Convertino
Living systems (LSs) must solve the problem of adapting to their environment by identifying external states and acting appropriately to maintain external relationships and internal order for survival and reproduction. This challenge is akin to the philosophical enigma of how the self can escape solipsism. In this…
Andrew Patton, Jörn Davidsen
The aging process profoundly impacts the human brain, leading to notable changes in cognitive abilities. Although the brain’s structural and functional alterations with age are individually well documented, how differences in cognitive abilities emerge from variations in the underlying spatio-temporal patterns of…
Brendan Conway-Smith, Robert L. West
There have been increasing challenges to dual-system descriptions of System-1 and System-2, critiquing them as imprecise and fostering misconceptions. We address these issues here by way of Dennett's appeal to use computational thinking as an analytical tool, specifically we employ the Common Model of Cognition.…
Alex Gomez-Marin, Zachary F Mainen
Over the past decade neuroscience has been attacking the problem of cognition with increasing vigor. Yet, what exactly is cognition, beyond a general signifier of anything seemingly complex the brain does? Here, we briefly review attempts to define, describe, explain, build, enhance and experience cognition. We…
Claudia-Lorena García, Mariana Salcedo-Gómez, Alejandro Vázquez-del-Mercado
'Alejandro Vázquez-del-Mercado'] In this paper, we articulate a functional approach to cognitive capacities. It is a restricted functionalism for various reasons, but especially because it does not claim that all cognitive (and/or mental) entities and processes are functional in the sense of a systemic capacities…
JeYoung Jung, Matthew A. Lambon Ralph
Semantic cognition is a complex brain function involving multiple processes from sensory systems, semantic systems, to domain-general cognitive systems, reflecting its multifaceted nature. However, it remain unclear how these systems cooperate with each other to achieve effective semantic cognition. Here, we…
Jiangwei Li
Introduction Human cognition requires both stability and flexibility: individuals maintain a continuous sense of self while shifting among tasks, intentions, and contexts. Existing theories explain information processing, prediction, attention, and control, but they leave under-specified the structural layer that…
Jiawei Zhang
This is a follow-up tutorial article of [17] and [16], in this paper, we will introduce several important cognitive functions of the brain. Brain cognitive functions are the mental processes that allow us to receive, select, store, transform, develop, and recover information that we've received from external stimuli.…
Nikolaus Kriegeskorte, Pamela K. Douglas
To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments. Cognitive science has developed computational models of human cognition, decomposing task performance into computational components.…
Anton Kolonin, Andrey Kurpatov, Artem Molchanov
We describe a cognitive architecture intended to solve a wide range of problems based on the five identified principles of brain activity, with their implementation in three subsystems: logical-probabilistic inference, probabilistic formal concepts, and functional systems theory. Building an architecture involves the…
Robert L. West, Spencer Eckler, Brendan Conway-Smith, Nico Turcas + 2 more
'Eilene Tomkins-Flanagan' 'Matthew A. Kelly'] This article presents a theoretical framework for adapting the Common Model of Cognition to large generative network models within the field of artificial intelligence. This can be accomplished by restructuring modules within the Common Model into shadow production systems…
Kenneth Kay, Natalie Biderman, Ramin Khajeh, Manuel Beiran + 6 more
Relational cognition — the ability to infer relationships that generalize to novel combinations of objects — is fundamental to human and animal intelligence. Despite this importance, it remains unclear how relational cognition is implemented in the brain due in part to a lack of hypotheses and predictions at the levels…
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate + 7 more
'Jon Lenchner' 'Nick Linck' 'Andrea Loreggia' 'Keerthiram Murugesan' 'Nicholas Mattei' 'Francesca Rossi' 'Biplav Srivastava'] This paper proposes a research direction to advance AI which draws inspiration from cognitive theories of human decision making. The premise is that if we gain insights about the causes of some…
Jules R. Dugré, Stéphane Potvin
A persistent effort in neuroscience has been to pinpoint the neurobiological substrates that support mental processes. The Research Domain Criteria (RDoC) aims to develop a new framework based on fundamental neurobiological dimensions. However, results from several meta-analysis of task-based fMRI showed substantial…
Benito Pereira Damasceno
disorders Questões e controvérsias metodológicas da pesquisa em desordens cognitivas Authors: Benito Pereira Damasceno Research on cognitive disorders is challenging due to the complexity of functions studied and to the numerous variables involved. First, the concept of cognition as a mediated (semiotic) and systemic…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Janina Ferbinteanu
The hippocampal and striatal memory systems operate independently and in parallel in supporting spatial and response learning, respectively, when animals are explicitly trained in one task. Here, we investigated whether this principle continues to hold when animals are concurrently trained in two types of tasks. Rats…
Heeseung Lee, Daeho Kim, Heyin Lee, Namyoung Gwak + 6 more
- 1. Computational Science Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea - 2. Department of Materials Science and Engineering, Korea University, 145 Anam-ro, Seoul 02841, Republic of Korea - 3. Department of Chemical and Biological Engineering, Korea University, Seoul 02841…
Rumiana Tenchov, Janet Sasso, Qiongqiong Angela Zhou
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and impaired daily functioning. The pathology of AD is marked by the accumulation of amyloid-beta plaques and tau protein tangles in brain, along with neuroinflammation and synaptic dysfunction. Genetic…
Authors not listed
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and widespread neurovascular disturbances. Traditional fMRI provides valuable spatial maps of blood-oxygen-level-dependent (BOLD) changes but often lacks the capacity to quantify the interplay of cerebral blood flow…