Results 11 to 20 of about 126,855 (275)
Cultural Attachment: From Behavior to Computational Neuroscience [PDF]
Cultural attachment (CA) refers to processes that allow culture and its symbols to provide psychological security when facing threat. Epistemologically, whereas we currently have an adequate predictivist model of CA, it is necessary to prepare for a ...
Wei-Jie Yap +6 more
doaj +3 more sources
Many computational models of the basal ganglia have been proposed over the past twenty-five years. While computational neuroscience models have focused on closely matching the neurobiology of the basal ganglia, computational cognitive neuroscience models
Sebastien eHelie +2 more
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Cognitive computational neuroscience [PDF]
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. However, its algorithms still fall short
Nikolaus Kriegeskorte +2 more
exaly +6 more sources
Computational neuroscience across the lifespan: Promises and pitfalls [PDF]
In recent years, the application of computational modeling in studies on age-related changes in decision making and learning has gained in popularity. One advantage of computational models is that they provide access to latent variables that cannot be ...
Wouter van den Bos +4 more
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Mind Causality: A Computational Neuroscience Approach [PDF]
A neuroscience-based approach has recently been proposed for the relation between the mind and the brain. The proposal is that events at the sub-neuronal, neuronal, and neuronal network levels take place simultaneously to perform a computation that can ...
Edmund T. Rolls, Edmund T. Rolls
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Strength and perception of computational neuroscience among Nigerian students and early career researchers [PDF]
Computational neuroscience is a field that intersects computer science, mathematics, psychology, and biology in understanding neural networks and brain functions.
Gideon Sorlelodum Alex +7 more
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Teaching computational neuroscience [PDF]
The problems and beauty of teaching computational neuroscience are discussed by reviewing three new textbooks.
Peter Erdi, Erdi Peter
exaly +4 more sources
The NIH BRAIN Initiative’s impacts in systems and computational neuroscience and team-scale research 2014–2023 [PDF]
At the 10-year anniversary of the NIH BRAIN Initiative, this report analyzes the impact of the initiative’s functional neuroscience ecosystem as funding experiments in the domains of systems and integrative neuroscience, and computational neuroscience ...
Farah Bader +8 more
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Developing intelligent neuromorphic solutions remains a challenging endeavor. It requires a solid conceptual understanding of the hardware's fundamental building blocks.
Carlo Michaelis +7 more
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Editorial: Advances in Computational Neuroscience [PDF]
Thomas Nowotny +10 more
doaj +2 more sources

