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Alex Maier

We tested a timely scientific question: Does the brain (neocortex) fundamentally compute predictions (so-called predictive coding)?

Core trick

Responses to different prediction-violation types in public Allen Institute recordings are compared to test for one shared error mechanism versus several.

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Description

We tested a timely scientific question: Does the brain (neocortex) fundamentally compute predictions (so-called predictive coding)? Specifically, do neurons signal every kind of surprise with *one* mechanism or *many*? We made use of open science (a free Allen Institute OpenScope dataset from a public archive).
maierav/ai_oscp_neuro★ 02 forksJupyter NotebookMITCreated Jul 7, 2026 · last push Sep 29, 2026

README excerpt

# ai_oscp_neuro

Analysis toolkit for the **[OpenScope Community Project](https://allenneuraldynamics.github.io/openscope-community-predictive-processing/)** dataset — Allen Institute for Neural Dynamics.

> [!WARNING]
> **Under development.** All results are preliminary and may change following further code audits.
 
## Background & motivation

The [OpenScope Community Project on Predictive Processing](https://allenneuraldynamics.github.io/openscope-community-predictive-processing/) asks how the brain implements **predictive processing**. Predictive processing theorizes that the neocortex learns to predict upcoming sensory input and signals *prediction errors* when reality violates expectation. 

The main aim of this project is to derive whether different kinds of prediction violations (e.g., a sensory mismatch/oddball, a broken sensorimotor contingency, an omitted stimulus) are computed by **a variety of mechanisms and circuits** (H0) or by a **common canonical mechanism** that is repeated across the brain (H1). 

To decide between these two hypotheses, the same test battery of "mismatch" paradigms is recorded using **three distinct spatial scales in mouse visual cortex**: 

(1) Glutamate vesicle imaging (**SLAP2**), 

(2) Two-photon calcium imaging (**Mesoscope**), and 

(3) High density linear multiarray single neuron recordings across up to six brain areas simultaneously (**Neuropixels**). 

Using these three techniques in tandem, error signals can be compared from dendr

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