concept

computational neuroscience

Also known as: computational neuroscientists

Facts (12)

Sources

Thinking about the action potential: the nerve signal as a window to ... frontiersin.org Frontiers 4 facts

referenceThe 'neural coding' metaphor, introduced by Adrian in 1932 to describe the relationship between stimulus intensity and the rate of action potential firing, has been debated within computational neuroscience and neurophysiology regarding its effectiveness in characterizing information content, as reviewed by Brette (2015b, 2019).

claimThe electronic circuit- and electrical/electrochemical conductance-based framework of neuronal excitability outlined in the Hodgkin and Huxley theory was rapidly accepted in neuroscience, computational neuroscience, and neurophysiology due to its descriptive and predictive power.

referenceThe Hodgkin-Huxley model has been instrumental in helping computational neuroscientists understand and model brain function in terms of neuronal integration and circuit-level information processing, as noted by Catterall et al. (2012).

perspectiveThe Hodgkin and Huxley model is regarded by some as the "crown jewel" of cellular neuroscience and by others as the "first compartmental model" in computational neuroscience.

The Synergy of Symbolic and Connectionist AI in LLM ... arxiv.org arXiv 1 fact

claimConnectionist AI is a paradigm that focuses on neural networks and machine learning algorithms, drawing influence from cognitive science and computational neuroscience to identify patterns and glean insights from datasets.

Bioelectricity - The Levin Lab drmichaellevin.org drmichaellevin.org 1 fact

referenceG. Pezzulo and Michael Levin published 'Re-membering the body: applications of computational neuroscience to the top-down control of regeneration of limbs and other complex organs' in the journal Integrative Biology in 2015.

A Synergistic Workspace for Human Consciousness Revealed by ... elifesciences.org eLife 1 fact

claimProminent theories in cognitive and computational neuroscience propose that the global integration of information from diverse sources plays a fundamental role in human consciousness.

Consciousness in Artificial Intelligence? A Framework for Classifying ... arxiv.org arXiv Nov 20, 2025 1 fact

claimAI researchers and computational neuroscientists use the notion of representation ubiquitously in their work.

Experiment sheds new light on the origins of consciousness medicalxpress.com Medical Xpress Apr 30, 2025 1 fact

quoteAnil Seth, a professor of cognitive and computational neuroscience at the University of Sussex, stated: "It was clear that no single experiment would decisively refute either theory. The theories are just too different in their assumptions and explanatory goals, and the available experimental methods too coarse, to enable one theory to conclusively win out over another."

The New Field of Network Physiology: Building the Human ... frontiersin.org Frontiers 1 fact

claimComputational neuroscience and systems physiology frameworks focus on pathways of neuron-to-neuron signaling and integration within organ systems, but these frameworks do not provide adequate tools to explain how organs integrate functions to generate emergent behavior.

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv Nov 7, 2024 1 fact

claimAdvances in computational neuroscience offer potential inspiration for future directions in Neuro-Symbolic AI development.

The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv Jul 11, 2024 1 fact

claimConnectionist artificial intelligence focuses on neural networks and machine learning algorithms that are influenced by cognitive science and computational neuroscience to identify patterns in large datasets.