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Record W2484774428 · doi:10.1007/978-1-60761-292-6_8

Dissociated Hippocampal Cultures

2009· book-chapter· en· W2484774428 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSpringer protocols handbooks/Springer protocols · 2009
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsHippocampal formationNeuroscienceBiological neural networkBiologyNeuronal circuitsEmbryonic stem cellNeuronIn vivoBiochemistryGeneGenetics

Abstract

fetched live from OpenAlex

A popular approach to study living neurons involves the preparation of dissociated cultures. If isolated from neonatal or embryonic animals, neurons survive their removal and subsequent dissociation procedures. They grow processes on appropriate substrates, acquire mature neuronal morphology and polarity, and form functional synapses that resemble those of neurons developing in vivo. On the other hand, dissociated neurons produce neural circuits which differ from native circuits. While many protocols have been developed to grow multiple types of neurons, this chapter focuses on one major protocol: the preparation of neonatal rat hippocampal neurons. It involves several steps including the meticulous preparation of coverslips and stock solutions, dissection of the hippocampi, cell seeding, and the long-term maintenance of the cultures. While dissociated neuronal cultures are used by many and can be routinely maintained for several weeks, they deserve particular attention through daily observations and rigorous laboratory practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.511
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0040.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.096
GPT teacher head0.391
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it