Auditory cortex deviance detection represents a canonical difference signal

bioRxiv · 12 Nov 2026 · Preprint · Open access

Hockley, Gallimore + 2 more

The abstract is read at the publisher; the summary is JClub's.

In primary auditory cortex (A1), putative excitatory neurons’ deviant responses encode a sensory prediction error, capturing standard-to-deviant frequency differences across oddball paradigm variants.

Why it matters: Oddball tasks often change both predictions and sensory input, leaving it unclear whether deviance detection reflects a true difference signal versus generalized surprise or stronger bottom-up drive.
What they did: The study compared neural responses to auditory stimuli across oddball paradigm variants, including a classical design and a fixed-deviant design where standards changed between blocks but deviant features stayed constant.
The result: In the classical paradigm, A1 responses to deviants reflect recent frequency change and preserve a memory trace of prior context; in the fixed-deviant paradigm, response patterns specifically encode the standard-to-deviant frequency difference.

AI summary of the abstract · may contain errors · not medical advice · read the paper.

Open access

Free. We’ll email you when a new paper cites this one or any other paper you follow on JClub — at most one email a day. Every email has a one-tap unsubscribe.

A cross-frequency architecture links biological and behavioral periodicities
bioRxiv · 9 Nov 2026 · Preprint
AI summary · may contain errors
Endogenous body-brain periodicities and spontaneous behaviors (tapping, walking, speaking) align in a cross-frequency architecture with successive rates spaced by about {varphi}≈1.618 and rhythm-class ratios captured by e≈2.72.
- Open access
Open
Share
Post on X Post on Bluesky Share on LinkedIn
https://jclub.com.au/a/10.64898/2026.07.03.736377
Open in JClub
Temporal Progression of Prior Precision, Surprisal, Model Updating and Tone Adaptation in Human Auditory Cortices
bioRxiv · 6 Nov 2026 · Preprint
AI summary · may contain errors
Prior precision signals in human auditory cortex emerge earliest during MEG listening to stochastic tone sequences with periodically shifting inferential statistics, preceding repetition suppression and surprisal.
- Open access
Open
Share
Post on X Post on Bluesky Share on LinkedIn
https://jclub.com.au/a/10.64898/2026.10.25.761658
Open in JClub
Neural Bases for Working Memory of Natural Sound Textures
bioRxiv · 6 Nov 2026 · Preprint
AI summary · may contain errors
Longer stimulus duration (2s vs 0.1s) strengthens multivariate encoding of auditory texture category in auditory cortex during maintenance, regardless of whether participants perform texture or loudness judgments.
- Open access
Open
Share
Post on X Post on Bluesky Share on LinkedIn
https://jclub.com.au/a/10.64898/2026.10.28.762478
Open in JClub

Journals this month

All journals →

Topics moving, week to 13 Nov 2026

All topics →

By field

All journals by field →

Auditory cortex deviance detection represents a canonical difference signal

Related in JClub

A cross-frequency architecture links biological and behavioral periodicities

Temporal Progression of Prior Precision, Surprisal, Model Updating and Tone Adaptation in Human Auditory Cortices

Neural Bases for Working Memory of Natural Sound Textures

Browse JClub