The Homunculus Brain and Categorical Logic
Michael Heller

TL;DR
This paper models the brain's ability to create meanings using categorical logic, representing neurons as categories and their interactions as functors, to explore how syntax and semantics intertwine in cognition.
Contribution
It introduces a novel categorical framework with adjoint functors to model the interaction between brain-like structures and semantic theories, providing insights into cognitive abstraction processes.
Findings
Model demonstrates how syntax and semantics are interconnected via adjoint functors.
Provides a mathematical framework for understanding cognitive abstraction.
Highlights the role of categorical structures in brain-like information processing.
Abstract
The interaction between syntax (formal language) and its semantics (meanings of language) is one which has been well studied in categorical logic. The results of this particular study are employed to understand how the brain is able to create meanings. To emphasize the toy character of the proposed model, we prefer to speak of the homunculus brain rather than the brain per se. The homunculus brain consists of neurons, each of which is modeled by a category, and axons between neurons, which are modeled by functors between the corresponding neuron-categories. Each neuron (category) has its own program enabling its working, i.e. a theory of this neuron. In analogy to what is known from categorical logic, we postulate the existence of a pair of adjoint functors, called Lang and Syn, from a category, now called BRAIN, of categories, to a category, now called MIND, of theories. Our homunculus…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Algebra and Logic · Computational Drug Discovery Methods · Rough Sets and Fuzzy Logic
