11 found
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  1.  23
    Conditional routing of information to the cortex: A model of the basal ganglia’s role in cognitive coordination.Andrea Stocco, Christian Lebiere & John R. Anderson - 2010 - Psychological Review 117 (2):541-574.
  2.  41
    A Biologically Plausible Action Selection System for Cognitive Architectures: Implications of Basal Ganglia Anatomy for Learning and Decision‐Making Models.Andrea Stocco - 2018 - Cognitive Science 42 (2):457-490.
    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 the basal ganglia—the existence of a direct and an indirect pathway that compete against each other. This characteristic has important consequences in decision-making tasks, which are brought to light by Parkinson's disease as (...)
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  3.  12
    Individual differences in the Simon effect are underpinned by differences in the competitive dynamics in the basal ganglia: An experimental verification and a computational model.Andrea Stocco, Nicole L. Murray, Brianna L. Yamasaki, Taylor J. Renno, Jimmy Nguyen & Chantel S. Prat - 2017 - Cognition 164 (C):31-45.
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  4.  15
    Reflections of idiographic long-term memory characteristics in resting-state neuroimaging data.Peiyun Zhou, Florian Sense, Hedderik van Rijn & Andrea Stocco - 2021 - Cognition 212 (C):104660.
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  5.  17
    The Role of Basal Ganglia Reinforcement Learning in Lexical Ambiguity Resolution.Jose M. Ceballos, Andrea Stocco & Chantel S. Prat - 2020 - Topics in Cognitive Science 12 (1):402-416.
    Going from cognitive theory to neural data to ACT‐R models, the authors relate brain activity in a lexical ambiguity priming task to brain processes that resolve ambiguity in word meanings. These detailed data were tested and found compatible to the results of an ACT‐R computational model of reinforcement learning (RL). The model confirms and extends the behavioral findings to provide a RL account of individual differences in lexical ambiguity resolution.
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  6.  49
    The b-I-c-a of biologically inspired cognitive architectures.Andrea Stocco, Christian Lebiere & Alexei V. Samsonovich - 2010 - International Journal of Machine Consciousness 2 (2):171-192.
    Recent years have seen a gradual convergence of seemingly distant research fields over a single goal: understanding and replicating biological intelligence in artifacts. This work presents a general overview on the origin, the state-of-the-art, scientific challenges and the future of Biologically Inspired Cognitive Architecture (BICA) research. Our perspective decomposes the field into the four principal semantic components associated with the BICA challenge that together call for an integration of efforts of researchers across disciplines. Areas and directions of study where new (...)
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  7.  16
    Inferring a Cognitive Architecture from Multitask Neuroimaging Data: A Data‐Driven Test of the Common Model of Cognition Using Granger Causality.Holly Sue Hake, Catherine Sibert & Andrea Stocco - 2022 - Topics in Cognitive Science 14 (4):845-859.
    Cognitive architectures (i.e., theorized blueprints on the structure of the mind) can be used to make predictions about the effect of multiregion brain activity on the systems level. Recent work has connected one high-level cognitive architecture, known as the “Common Model of Cognition,” to task-based functional MRI data with great success. That approach, however, was limited in that it was intrinsically top-down, and could thus only be compared with alternate architectures that the experimenter could contrive. In this paper, we propose (...)
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  8.  15
    The Role of Dorsal Premotor Cortex in Resolving Abstract Motor Rules: Converging Evidence From Transcranial Magnetic Stimulation and Cognitive Modeling.Patrick Rice & Andrea Stocco - 2019 - Topics in Cognitive Science 11 (1):240-260.
    The Role of Dorsal Premotor Cortex in Resolving Abstract Motor Rules provides alternative hypotheses about the cognitive functions affected by the application of repetitive transcranial magnetic stimulation. Their model simulated the effect of stimulation of the left dorsal premotor cortex right as participants provide a Models were used to demonstrate that the increased variability in observed response times can result from interference in replanning during the process of responding to the uninstructed stimulus.
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  9.  8
    Repeated Application of Transcranial Diagnostic Ultrasound Towards the Visual Cortex Induced Illusory Visual Percepts in Healthy Participants.Nels Schimek, Zeb Burke-Conte, Justin Abernethy, Maren Schimek, Celeste Burke-Conte, Michael Bobola, Andrea Stocco & Pierre D. Mourad - 2020 - Frontiers in Human Neuroscience 14:500655.
    Transcranial magnetic stimulation (TMS) of the visual cortex can induce phosphenes as can non-diagnostic ultrasound, the latter while participants have closed their eyes during Stimulation. Here we sought to study potential alteration of a visual target (a white crosshair) due to application of diagnostic ultrasound to the visual cortex. We applied a randomized series of actual or sham diagnostic ultrasound to the visual cortex of healthy participants while they stared at a visual target, with the ultrasound device placed where TMS (...)
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  10.  20
    When Fear Shrinks the Brain: A Computational Model of the Effects of Posttraumatic Stress on Hippocampal Volume.Briana M. Smith, Madison Thomasson, Yuxue Cher Yang, Catherine Sibert & Andrea Stocco - 2021 - Topics in Cognitive Science 13 (3):499-514.
    This paper presents a neurocomputational model using the ACT‐R cognitive architecture that simulates intrusive memory retrieval following a potentially traumatic event and predicts hippocampal volume changes observed in Post‐Traumatic Stress Disorder.
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  11.  13
    Individual Differences in Reward‐Based Learning Predict Fluid Reasoning Abilities.Andrea Stocco, Chantel S. Prat & Lauren K. Graham - 2021 - Cognitive Science 45 (2):e12941.
    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 progress. We propose that such an ability is underpinned by the basal ganglia nuclei, which are critically tied to both reward processing and cognitive control. This hypothesis was implemented in a neurocomputational (...)
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