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Artificial neural network is analogous to Neural signal. Activate to inspect this relation.Auditory perception depends on Neural signal. Activate to inspect this relation.Cognitive neuroscience applies to Nervous system. Activate to inspect this relation.Cognitive neuroscience applies to Neuron. Activate to inspect this relation.Connectome applies to Computational neuroscience. Activate to inspect this relation.Connectome depends on Brain atlas. Activate to inspect this relation.Connectome applies to Network. Activate to inspect this relation.Connectome is part of Neuroinformatics. Activate to inspect this relation.Default mode network is part of Connectome. Activate to inspect this relation.Digital filter applies to Signal. Activate to inspect this relation.The ear enables Neural signal. Activate to inspect this relation.Hormone is analogous to Neural signal. Activate to inspect this relation.Neural correlate is part of Cognitive neuroscience. Activate to inspect this relation.Neural signal is analogous to Network. Activate to inspect this relation.Neural signal is a Signal. Activate to inspect this relation.Neuroinformatics applies to Artificial neural network. Activate to inspect this relation.Neuroinformatics is part of Cognitive neuroscience. Activate to inspect this relation.Neuron causes Neural signal. Activate to inspect this relation.Neuron is part of Nervous system. Activate to inspect this relation.Noise suppresses Signal. Activate to inspect this relation.Nyquist frequency constrains Signal. Activate to inspect this relation.Signal enables Information. Activate to inspect this relation.Signal applies to Information theory. Activate to inspect this relation.Signal-to-noise ratio measures Signal. Activate to inspect this relation.ConnectomeComputational neuroscienceBrain atlasNetworkNeuroinformaticsDefault mode networkNeural signalArtificial neural networkCognitive neuroscienceSignalAuditory perceptionThe earNeuronHormoneNervous systemNeural correlateInformationNoiseSignal-to-noise ratioNyquist frequencyInformation theoryDigital filter
Relationship types

20 concepts viewed through this lens. Bridge concepts connect this view to Anatomy, Anthropology, Artificial Intelligence, Biology….

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
22 concepts24 relationships23 disciplines6 relation families

At a glance

A connectome is the complete map of neural connections in a brain or nervous system.

Disciplines
Neuroinformatics · Neuroscience
Role in the graph
Cross-disciplinary bridge reaches Anthropology, Discrete Mathematics, Linear Algebra, Mathematics, Network Science, Sociology, Urban Planning
Relationships
5 · 3 relation families

What am I looking at?

In this lens (20)

Bridge concepts (39)

Just outside the lens — they connect it to other context.

  • Computer Science, Machine Learning · connects to Neural signal, Neuroinformatics
  • Anthropology, Discrete Mathematics, Linear Algebra, Mathematics, Network Science, Sociology, Urban Planning · connects to Connectome, Neural signal
  • Cognitive Neuroscience, Cognitive Psychology, Psychology · connects to Neural oscillation, Predictive coding
  • Biology, Zoology · connects to Brain
  • Biology, Cognitive Science · connects to Neural signal

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 23 disciplines: Anatomy, Anthropology, Biology, Cognitive Neuroscience, Cognitive Science, Communication Science, Computer Science, Discrete Mathematics, Electrical Engineering, Human-Computer Interaction, Information Theory, Linear Algebra, Machine Learning, Mathematics, Network Science, Neuroinformatics, Neuroscience, Physiology, Signal Processing, Sociology, Statistics, Telecommunications Engineering, Urban Planning.
  • Connectome is a bridge concept — viewed here through Neuroinformatics, Neuroscience.
  • The connections here span 6 relation families.
  • Networks explains 5 concepts in this view (Anatomy, Anthropology, Biology, Cognitive Science, Computer Science, Discrete Mathematics, Linear Algebra, Machine Learning, Mathematics, Network Science, Neuroscience, Physiology, Sociology, Urban Planning).

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

By thinking pattern

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Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.