dorsal/arxiv
View SchemaNonlinear brain dynamics and many-body field dynamics
| Authors | Walter J. Freeman, Giuseppe Vitiello |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0507014 |
| URL | https://arxiv.org/abs/q-bio/0507014 |
Abstract
We report measurements of the brain activity of subjects engaged in behavioral exchanges with their environments. We observe brain states which are characterized by coordinated oscillation of populations of neurons that are changing rapidly with the evolution of the meaningful relationship between the subject and its environment, established and maintained by active perception. Sequential spatial patterns of neural activity with high information content found in sensory cortices of trained animals between onsets of conditioned stimuli and conditioned responses resemble cinematographic frames. They are not readily amenable to description either with classical integrodifferential equations or with the matrix algebras of neural networks. Their modeling is provided by field theory from condensed matter physics.
{
"annotation_id": "95b5666f-a961-4fb9-ba12-15930d675705",
"date_created": "2026-03-02T18:01:31.796000Z",
"date_modified": "2026-03-02T18:01:31.796000Z",
"file_hash": "ed0c605076353556040eb07cd4a22d968e0dd7da686aff8ee86405a8f27ca022",
"private": false,
"record": {
"abstract": "We report measurements of the brain activity of subjects engaged in\nbehavioral exchanges with their environments. We observe brain states which are\ncharacterized by coordinated oscillation of populations of neurons that are\nchanging rapidly with the evolution of the meaningful relationship between the\nsubject and its environment, established and maintained by active perception.\nSequential spatial patterns of neural activity with high information content\nfound in sensory cortices of trained animals between onsets of conditioned\nstimuli and conditioned responses resemble cinematographic frames. They are not\nreadily amenable to description either with classical integrodifferential\nequations or with the matrix algebras of neural networks. Their modeling is\nprovided by field theory from condensed matter physics.",
"arxiv_id": "q-bio/0507014",
"authors": [
"Walter J. Freeman",
"Giuseppe Vitiello"
],
"categories": [
"q-bio.NC",
"q-bio.OT"
],
"title": "Nonlinear brain dynamics and many-body field dynamics",
"url": "https://arxiv.org/abs/q-bio/0507014"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "4aa7dcfd-6598-4502-a1ef-0ac067f83474",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}