ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2023
On the Role of Theory and Modeling in Neuroscience.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Linguistics and human brain: a perspective of computational neuroscience.Cognitive neurodynamics · 2026Review
- Neuroinflammation: an unfortunate term to describe schizophrenia.Molecular psychiatry · 2026Review
- How to Foster Challenging Interdisciplinary Collaborations: Can Philosophy Support Neuroscientists?The European journal of neuroscience · 2026Review
- Hierarchical recurrent temporal prediction as a model of the mammalian dorsal visual pathway.PLoS computational biology · 2026Article
- Biology Needs Philosophy, But What Philosophy?Bioscience · 2026Review
- Article
- Advances in surrogate modeling for biological agent-based simulations: trends, challenges, and future prospects.Journal of mathematical biology · 2025Review
- Postsynaptic frequency filters shaped by the interplay of synaptic short-term plasticity and cellular time scales.Journal of computational neuroscience · 2025Article
- Foraging as an ethological framework for neuroscience.Trends in neurosciences · 2025Review
- Review
- The neural basis for uncertainty processing in hierarchical decision making.Nature communications · 2025Article
- Article
- Resolving Artifacts in Voltage-Clamp Experiments with Computational Modeling: An Application to Fast Sodium Current Recordings.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Mediodorsal thalamus regulates task uncertainty to enable cognitive flexibility.Nature communications · 2025Article
- Mental Time Travel: A Retrospective.Hippocampus · 2025Review
- Would you publish unrealistic models?Biological cybernetics · 2024Article
- How can ethology inform the neuroscience of fear, aggression and dominance?Nature reviews. Neuroscience · 2024Review
- From Empirical Problem-Solving to Theoretical Problem-Finding Perspectives on the Cognitive Sciences.Computational brain & behavior · 2024Article
- The Problem-Ladenness of Theory.Computational brain & behavior · 2024Article
- A Critical Perspective on Neural Mechanisms in Cognitive Neuroscience: Towards Unification.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Article
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Authors and funding
20 authors.
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Abstract
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth has created a need for clearer analyses of the theory and modeling approaches used in the field. This issue is particularly complex in neuroscience because the field studies phenomena that cross a wide range of scales and often require consideration at varying degrees of abstraction, from precise biophysical interactions to the computations they implement. We argue that a pragmatic perspective of science, in which descriptive, mechanistic, and normative models and theories each play a distinct role in defining and bridging levels of abstraction, will facilitate neuroscientific practice. This analysis leads to methodological suggestions, including selecting a level of abstraction that is appropriate for a given problem, identifying transfer functions to connect models and data, and the use of models themselves as a form of experiment.
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