Elan Barenholtz, Ph.D. — Associate Professor, Florida Atlantic University · MPCR Lab · YouTube

The Autoregressive Brain

The Autoregressive Brain

A unified theory of cognition

The brain is an evolving dynamical system. At each moment, its next state is determined by two things: its current extended state and incoming sensation. The extended state is not an instantaneous snapshot. It includes the system's own past states, carried forward as ongoing activity and as structure shaped by everything that came before.

next state = F(extended state, input)

Cognition is this next-state generation. Each new state (a percept, a thought, a stretch of inner speech) becomes part of the extended state and conditions everything that follows: the autoregressive loop. The neural activity underlying this process also drives the body through movement, speech, and autonomic and hormonal responses, but the system never observes its own outputs. Their consequences return only as sensation, one more input to the next state.

In this framework, perception, memory, language, reasoning, and action are not separate faculties. They are aspects of a single dynamics: the system generating each next state as the continuation of its own trajectory. What we call memory is the past persisting within the extended state and shaping each new one, not a store to be consulted. What we call attention is the convergence of multiple modalities into a single next state. What we call behavior is the world's response to neural activity that the system itself never directly observes.

Large language models are not merely analogies. They are running the linguistic case of the same architecture. Autoregressive generation over learned distributional structure produces composition, context-sensitivity, and apparent understanding without any of the machinery cognitive science has traditionally assumed is required.

The Autoregressive Brain

A new framework for cognition, memory, and language

Generation, Not Retrieval

Remembering is reconstructive generation, not playback from storage. Memory is the capacity to regenerate experiential trajectories, constrained by learned structure.

Syntax as Distributional Epiphenomenon

What linguists call "grammar" is not a rule system but the skeletal structure of distributional statistics. Function words are high-leverage tokens that constrain sequential prediction.

Consciousness as Recursive Autoregression

Subjective experience emerges from the cognitive system modeling its own generative process. The "self" is a trajectory through state-space, not an entity.

LLMs as Existence Proofs

Large language models demonstrate that composition, apparent reasoning, and memory-like behavior can emerge from autoregressive prediction without explicit storage or rule systems.

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Videos

Conversations and presentations on the autoregressive mind

The (Disturbing) Theory of Autoregressive Minds

Theories of Everything with Curt Jaimungal

Discussion with Michael Levin

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