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Szymanik, Jakub; Kochari, Arnold; Bremnes, Heming Strømholt – Cognitive Science, 2023
One approach to understanding how the human cognitive system stores and operates with quantifiers such as "some," "many," and "all" is to investigate their interaction with the cognitive mechanisms for estimating and comparing quantities from perceptual input (i.e., nonsymbolic quantities). While a potential link…
Descriptors: Cognitive Processes, Symbols (Mathematics), Numbers, Mathematical Concepts
Kate Stone; Naghmeh Khaleghi; Milena Rabovsky – Cognitive Science, 2023
We tested two accounts of the cognitive process underlying the N400 event-related potential component: one that it reflects meaning-based processing and one that it reflects the processing of specific words. The experimental design utilized separable Persian phrasal verbs, which form a strongly probabilistic, long-distance dependency, ideal for…
Descriptors: Cognitive Processes, Brain, Language Processing, Indo European Languages
Thomas, Michael S. C.; Coecke, Selma – Cognitive Science, 2023
Differences in socioeconomic status (SES) correlate both with differences in cognitive development and in brain structure. Associations between SES and brain measures such as cortical surface area and cortical thickness mediate differences in cognitive skills such as executive function and language. However, causal accounts that link SES, brain,…
Descriptors: Socioeconomic Status, Cognitive Processes, Brain, Cognitive Development
Stocco, Andrea; Prat, Chantel S.; Graham, Lauren K. – Cognitive Science, 2021
The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about…
Descriptors: Individual Differences, Rewards, Abstract Reasoning, Problem Solving
Stocco, Andrea – Cognitive Science, 2018
Several attempts have been made previously to provide a biological grounding for cognitive architectures by relating their components to the computations of specific brain circuits. Often, the architecture's action selection system is identified with the basal ganglia. However, this identification overlooks one of the most important features of…
Descriptors: Cognitive Structures, Brain, Biology, Anatomy
Crawford, Eric; Gingerich, Matthew; Eliasmith, Chris – Cognitive Science, 2016
Several approaches to implementing symbol-like representations in neurally plausible models have been proposed. These approaches include binding through synchrony (Shastri & Ajjanagadde, 1993), "mesh" binding (van der Velde & de Kamps, 2006), and conjunctive binding (Smolensky, 1990). Recent theoretical work has suggested that…
Descriptors: Modeling (Psychology), Cognitive Processes, Neurology, Semantics
Guthormsen, Amy M.; Fisher, Kristie J.; Bassok, Miriam; Osterhout, Lee; DeWolf, Melissa; Holyoak, Keith J. – Cognitive Science, 2016
Research on language processing has shown that the disruption of conceptual integration gives rise to specific patterns of event-related brain potentials (ERPs)--N400 and P600 effects. Here, we report similar ERP effects when adults performed cross-domain conceptual integration of analogous semantic and mathematical relations. In a problem-solving…
Descriptors: Responses, Cognitive Processes, Brain, Cognitive Measurement
Cleeremans, Axel – Cognitive Science, 2014
Consciousness remains a mystery--"a phenomenon that people do not know how to think about--yet" (Dennett, D. C., 1991, p. 21). Here, I consider how the connectionist perspective on information processing may help us progress toward the goal of understanding the computational principles through which conscious and unconscious processing…
Descriptors: Cognitive Processes, Computation, Brain, Metacognition
Piccinini, Gualtiero; Bahar, Sonya – Cognitive Science, 2013
We begin by distinguishing computationalism from a number of other theses that are sometimes conflated with it. We also distinguish between several important kinds of computation: computation in a generic sense, digital computation, and analog computation. Then, we defend a weak version of computationalism--neural processes are computations in the…
Descriptors: Computation, Epistemology, Cognitive Processes, Brain
McClelland, James L.; Mirman, Daniel; Bolger, Donald J.; Khaitan, Pranav – Cognitive Science, 2014
In a seminal 1977 article, Rumelhart argued that perception required the simultaneous use of multiple sources of information, allowing perceivers to optimally interpret sensory information at many levels of representation in real time as information arrives. Building on Rumelhart's arguments, we present the Interactive Activation…
Descriptors: Perception, Comprehension, Cognitive Processes, Alphabets
Hannagan, Thomas; Grainger, Jonathan – Cognitive Science, 2012
It has been recently argued that some machine learning techniques known as Kernel methods could be relevant for capturing cognitive and neural mechanisms (Jakel, Scholkopf, & Wichmann, 2009). We point out that "String kernels," initially designed for protein function prediction and spam detection, are virtually identical to one contending proposal…
Descriptors: Brain, Word Recognition, Visual Discrimination, Orthographic Symbols
Anderson, John R.; Carter, Cameron S.; Fincham, Jon M.; Qin, Yulin; Ravizza, Susan M.; Rosenberg-Lee, Miriam – Cognitive Science, 2008
This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated with specific brain regions, one can make predictions for the temporal course of the BOLD response in these regions. An event-locked procedure is described for dealing…
Descriptors: Brain, Cognitive Processes, Diagnostic Tests, Brain Hemisphere Functions
Hameroff, Stuart R. – Cognitive Science, 2007
In their article, "Is the Brain a Quantum Computer,?" Litt, Eliasmith, Kroon, Weinstein, and Thagard (2006) criticize the Penrose-Hameroff "Orch OR" quantum computational model of consciousness, arguing instead for neurocomputation as an explanation for mental phenomena. Here I clarify and defend Orch OR, show how Orch OR and neurocomputation are…
Descriptors: Brain, Cognitive Processes, Diagnostic Tests, Neurological Organization
Kello, Christopher T.; Anderson, Gregory G.; Holden, John G.; Van Orden, Guy C. – Cognitive Science, 2008
Human neural and behavioral activities have been reported to exhibit fractal dynamics known as "1/f noise," which is more aptly named "1/f scaling." Some argue that 1/f scaling is a general and pervasive property of the dynamical substrate from which cognitive functions are formed. Others argue that it is an idiosyncratic property of…
Descriptors: Scaling, Learning Processes, Cognitive Development, Cognitive Processes
Tlauka, Michael; Keage, Hannah; Clark, C. Richard – Cognitive Science, 2005
This study investigated whether brain neural activity that accompanied the processing of previously learned map information was influenced by the modality in which the spatial parameters of the maps were originally learned. Participants learned a map by either viewing it directly or by reading an equivalent verbal description. Following learning,…
Descriptors: Maps, Reading, Spatial Ability, Investigations
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