AIMC Topic: Cognitive Neuroscience
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Interpreting neural decoding models using grouped model reliance.
PLoS computational biology
Jan 6, 2020
Machine learning algorithms are becoming increasingly popular for decoding psychological constructs based on neural data. However, as a step towards bridging the gap between theory-driven cognitive neuroscience and data-driven decoding approaches, th...
Beyond the "Conceptual Nervous System": Can computational cognitive neuroscience transform learning theory?
Behavioural processes
Aug 3, 2019
In the last century, learning theory has been dominated by an approach assuming that associations between hypothetical representational nodes can support the acquisition of knowledge about the environment. The similarities between this approach and c...
Lost in translation.
F1000Research
May 21, 2018
Translation in cognitive neuroscience remains beyond the horizon, brought no closer by supposed major advances in our understanding of the brain. Unless our explanatory models descend to the individual level-a cardinal requirement for any interventio...
Ghosts in machine learning for cognitive neuroscience: Moving from data to theory.
NeuroImage
Aug 6, 2017
The application of machine learning methods to neuroimaging data has fundamentally altered the field of cognitive neuroscience. Future progress in understanding brain function using these methods will require addressing a number of key methodological...
Principles for models of neural information processing.
NeuroImage
Aug 6, 2017
The goal of cognitive neuroscience is to understand how mental operations are performed by the brain. Given the complexity of the brain, this is a challenging endeavor that requires the development of formal models. Here, I provide a perspective on m...
Extracting latent brain states--Towards true labels in cognitive neuroscience experiments.
NeuroImage
Jun 9, 2015
Neuroscientific data is typically analyzed based on the behavioral response of the participant. However, the errors made may or may not be in line with the neural processing. In particular in experiments with time pressure or studies where the thresh...
Superethics Instead of Superintelligence: Know Thyself, and Apply Science Accordingly.
AJOB neuroscience
Jan 1, 2020
The human species is combining an increased understanding of our cognitive machinery with the development of a technology that can profoundly influence our lives and our ways of living together. Our sciences enable us to see our strengths and weaknes...
Concepts, control, and context: A connectionist account of normal and disordered semantic cognition.
Psychological review
Apr 1, 2018
Semantic cognition requires conceptual representations shaped by verbal and nonverbal experience and executive control processes that regulate activation of knowledge to meet current situational demands. A complete model must also account for the rep...
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