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NotablePeer-reviewed

Information formatting in neuronal populations predicts differential functional contributions to behavior

Two monkey brain areas format the same signals differently, and stimulating each changed choices differently

ByDouglas A. Ruff, Sol K. Markman, Jason Z. Kim, Marlene R. Cohen

University of Chicago · Massachusetts Institute of Technology · Cornell University

11th of 40 papers scored this week on Frontier.

What it is

Neurons throughout the brain encode essentially everything, so the authors asked why distinct areas exist, proposing that areas differ in how they format information. Two rhesus monkeys reported the direction of moving dots with an eye movement to a ring, earning juice that depended on their accuracy and on a reward scaling marked on the ring, over 27 sessions and 41,106 choices. Recording at the same time from the middle temporal area (MT), involved in visual motion perception, and the dorsolateral prefrontal cortex (dlPFC), implicated in decision-making and reward, in 15 sessions (258 MT units and 322 dlPFC units), they found that both areas encoded both motion and reward, but formatted differently: MT represented them separably, while the dlPFC combined them in a decision-related format. A recurrent network model trained to reproduce that formatting predicted that stimulating the two areas would affect choices differently, and electrical microstimulation agreed. In MT (50 sites over 29 sessions) it biased choices midway between the motion direction and the stimulated site's preference; in the dlPFC (38 sites over 23 sessions) the monkeys reported either the motion or the site's preference, a 'winner-take-all' outcome with no evidence of averaging.

Why it matters

A brain area's role may be read from how it formats what it encodes, not only from what it encodes, and here that format predicted what stimulating the area would do. The prediction went beyond the shape of the choices: the effect of dlPFC stimulation was much greater when the larger reward sat at the stimulated site's preferred direction, while the effect of MT stimulation was indistinguishable between the two reward conditions, consistent with joint and separable representations. The authors suggest that a modular structure flexibly reformats information to enable complex behaviours.

Underlined numbers link to their source. Every metric and quoted figure is listed under Sources and data below.

Filed underNeural dynamics and brain function, Visual perception and processing mechanisms, Neural and Behavioral Psychology Studies

Scored 2026-11-13How scoring works

The Frontier Score, in full

How this entry's score is built, term by term. Open any pillar to see each sub-metric's raw value, how it maps to 0 to 100, and a link to its source (OpenAlex for most sub-metrics that combine several sources, NIH iCite where its ratio is part of field-normalized impact).
Evidence 93Impact 45Novelty 69
The three pillars as one shape: a result strong on every axis fills the triangle.
How the Frontier Score is calculated for this breakthrough
TermScoreWeightPoints
EvidenceHow established and verifiable the result is.93× 0.2523.1
ImpactHow much the result matters, judged field-relative and by current momentum.45× 0.2511.1
NoveltyHow genuinely new the result is, and how fast-moving.69× 0.5034.4
Weighted pillars68.6
Frontier recency0 months since publication× 1.00
IntegrityNot retracted× 1
Frontier Score68
Confidence: Early signal. Early signal: little citation history yet, so impact is an estimate and may shift as the work is taken up.Early signal: little citation history yet, so impact is an estimate and may shift as the work is taken up.

Every sub-metric, traced to its source

Evidence93
Evidence sub-metrics
Sub-metricRaw value0 to 100WeightPointsSource
Peer review & venueWhether the work has cleared peer review, and how selective its venue is. Peer review is necessary but not sufficient: before citations accrue, a fresh result in one of the five general flagships (Nature, Science, Cell, NEJM, the Lancet) is a stronger evidence signal than one in a selective specialist or society journal, which in turn outranks one in a legitimate but very high-volume mega-journal, and any of them outranks a preprint that has not been reviewed at all.Maps to 0 to 100: Peer-reviewed article graded by venue tier: flagship journal (Nature, Science, Cell, NEJM, the Lancet) 100; selective journal (every other journal the index admits: the specialist journals of those families, JAMA, PNAS, Physical Review Letters and X) 90; high-volume mega-journal (Nature Communications, Science Advances) 78; venue not recorded 88. Other records: review 90, book 70, dataset 60, preprint 45, an article that has not been peer reviewed 45, other 55.Peer-reviewed, selective journal900.3027.0OpenAlex type / primary_location / source
CorroborationIndependent corroboration that the result is on the record and reaching beyond a single source, read as the BREADTH of independent records rather than the size of the citation pile. Counts how many of the five independent citation indices (OpenAlex, Crossref, Semantic Scholar, OpenCitations, Europe PMC) report a citation count for the work at all, zero included, plus orthogonal, non-citation lines of corroboration: citation in Wikipedia, registered clinical trials or clinical citations, released datasets or software or a repository copy, public funding on record, and technical-community discussion. Citation MAGNITUDE is deliberately judged under Impact, not here, so Evidence and Impact measure genuinely different things instead of both rewarding the same citation pile twice.Maps to 0 to 100: Starts at 28 and rises by 9 for each of the five independent citation indices that returns a citation count for the work (zero counts; OpenCitations returns zero even for a DOI it does not hold) and by 6 for each orthogonal non-citation line (Wikipedia, clinical trials or clinical citations, open datasets, software or a repository copy, public funding, community discussion), up to the top of the 0-100 scale.5 of 5 citation indices report a count, 2 independent non-citation lines850.3025.5OpenAlex, Crossref, Semantic Scholar, OpenCitations, Europe PMC, DataCite, NIH RePORTER, Wikipedia, Hacker News count of indices that report a count for the work + orthogonal reach
VerifiabilityHow openly the result can be read, reused, and reproduced. Rewards open access, a Creative Commons BY or CC0 license, a green repository copy anyone can archive, openly minable full text, and released datasets or software a reader can actually run. Cross-checked across OpenAlex, Unpaywall, Europe PMC, and DataCite.Maps to 0 to 100: Closed access 45; open access 88; any Creative Commons BY license (including the NC, ND and SA variants) or CC0 100. A repository copy raises the floor to 85, openly minable full text to 90, and released data or software to 92.Open access (hybrid), CC-BY-NC-ND, repository copy1000.2020.0OpenAlex, Unpaywall, Europe PMC, DataCite is_oa / license / has_repository_copy / open datasets
IntegrityRetraction and post-publication correction status. A retracted result is not evidence of anything and collapses the whole Frontier Score; a correction or expression of concern is a softer flag. A correction the publisher labels as its own error (a Publisher Correction) is not a flag on the work. Read across OpenAlex and Crossref (both update-to and updated-by notices).Maps to 0 to 100: Clean 100 (also when the only notice is a Publisher Correction); a correction or expression of concern 75; retracted 0. Flagged if OpenAlex OR Crossref records the notice.No retraction or concern on record1000.2020.0OpenAlex, Crossref is_retracted / update-to / updated-by
Impact45
Impact sub-metrics
Sub-metricRaw value0 to 100WeightPointsSource
Field-normalized impactImpact relative to the world average for the same field, year, and type, so a small field and a large field are judged fairly. Triangulates three independent field-normalized measures: OpenAlex's Field-Weighted Citation Impact, its citation percentile within the exact field-and-year cohort, and the NIH iCite Relative Citation Ratio. 1.0x is average; the percentile is the share of same-field, same-year work it out-cites.Maps to 0 to 100: Each ratio (1.0 = field average) maps 1.0 to 50, 3.0 to 75, 9.0 to 90; the field+year percentile maps directly (top 1% -> ~99). The available measures are averaged. When none is available yet (very recent work), this sub-metric is left out and Impact is computed from the others.13.5x FWCI, 0.8x RCR, top 1% of field-year vs field790.4535.6OpenAlex, NIH iCite fwci / citation_normalized_percentile / relative_citation_ratio
Influential citationsCitations that genuinely build on the work rather than mention it in passing (Semantic Scholar's influential-citation measure). A sharper signal of real impact than a raw count.Maps to 0 to 100: Saturating: 15 influential citations maps to 50, and none maps to 0. When Semantic Scholar has no measure for the work, this sub-metric is left out and Impact is computed from the others.0 influential00.200.0Semantic Scholar influentialCitationCount
Citation velocityCitations received in the trailing twelve months (estimated from yearly citation counts: this year's so far plus the share of last year's that falls inside the window), judged as a rate rather than a lifetime total. Momentum is what a frontier index cares about: a result being taken up fast right now is landing, whether its lifetime pile is large or still small. Where an expected field citation rate is known, the momentum is also read relative to it, so a fast-moving result in a quiet field is not overlooked.Maps to 0 to 100: Saturating: 30 citations in the last twelve months maps to 50. When NIH iCite provides the field's expected rate, this is blended evenly with the ratio of observed to expected momentum.6 in last 12 months (0.5x field rate)260.358.9OpenAlex, NIH iCite counts_by_year / field_citation_rate
Novelty69
Novelty sub-metrics
Sub-metricRaw value0 to 100WeightPointsSource
Conceptual noveltyHow genuinely new the contribution is, measured at publication from the work's OWN content, not its date: how atypical its combination of research areas is versus all prior work, and whether it builds on a broad, deep base rather than only the newest papers in a fast-moving area. This is what separates a real advance from a recent-but-commodity result, and it needs no forward citations, so it is stable for brand-new work. An honestly noisy proxy (even state-of-the-art novelty measures agree only moderately with expert judgment), so it carries bounded weight and never drives the ranking alone.Maps to 0 to 100: Two publication-time signals, each 0-100. The primary one is atypical combination: how unusual the work's median pairing of research topics is versus the prior literature, by pointwise mutual information (a pairing made far more often than chance scores low). The second, foundational reach (the median age of the work's references and the share older than five years), can only lift it: when reach is higher, the score rises by 35% of the gap, and it is never lowered. When only one signal is measurable it is used alone; when neither is (a work too thin in topics or references), this sub-metric is left out and Novelty is computed from the other three. A review is damped to 60%.Median topic pairing Neural dynamics and brain function x Visual perception and processing mechanisms (33,474 prior works made this pairing); builds on refs a median 10.7y deep490.4521.9OpenAlex topics + referenced_works (publication-time)
RecencyHow recently the work appeared. The frontier is now, so newer scores higher.Maps to 0 to 100: Exponential decay with a 12-month half-life from the publication date.This month990.3029.8OpenAlex publication_date
Attention accelerationWhether attention is rising: citations in the latest full year versus the year before. Accelerating interest signals an active, opening frontier.Maps to 0 to 100: Latest/prior-year ratio: 1x maps to 50, 2x to 75, 4x to 100. The prior year counts as at least 3 citations, so a jump from one citation to a few is not read as explosive growth. With no citations in the latest full year it reads as unknown, and unknown is neutral (50).1.0x rising500.105.0OpenAlex counts_by_year
Edge of reviewPreprints sit ahead of the peer-review process and brand-new papers have only just cleared it. Both earn novelty here (while a preprint is discounted under Evidence), because that is where the frontier forms first.Maps to 0 to 100: Preprint 95; any other record 80 when under 6 months old, 65 under 18 months, 45 after that.Peer-reviewed record800.1512.0OpenAlex type / publication_date
ProvenanceAll sources

Sources and data

The source figures behind this entry, grouped by the source that holds them: up to five citation indices cross-checked, field-normalized impact, then real-world reach (Wikipedia, community discussion, clinical trials, released data and public funding) where it exists. Each value links to its record.

OpenAlex

Primary record
Total citations
9
Field-weighted citation impact
13.5x field average
Citation percentile
Top 1% of its field-year
Citations, recent 12 months
6
Publication date
2026-11-10

Crossref

Citations
0
Works it builds on
70
Funders on record
2

Semantic Scholar

Citations, all versions
0
Influential citations
0

OpenCitations

Citations
0

Europe PMC

Citations
0

NIH iCite

Relative Citation Ratio
0.83 (NIH-funded median 1.0)
Potential to translate
5%

Unpaywall

Reuse license
CC-BY-NC-ND

NIH RePORTER

NIH grants funding it
4
NIH award funding
$10,117,213

Figures quoted in the write-up

FigureValueSource
Monkeys in the study (Results: they combined motion direction with the reward magnitude associated with different choices to make continuous choices)Two adult rhesus monkeys (Macaca mulatta, both male, 8 and 10 kg)Nature Neuroscience
Behavioural sessions (Fig. 1 legend: the monkeys based their choices on a combination of motion direction and reward information)27 experimental sessions from 2 monkeysNature Neuroscience
Variance from the motion-reward interaction, dlPFC-like module (Results: demixed PCA of the recurrent network model)20% of explained variance across conditionsNature Neuroscience
Variance from the motion-reward interaction, MT-like module (Results: demixed PCA of the recurrent network model; compare Fig. 2d for the monkey data)0% variance explained across conditionsNature Neuroscience
Choices analysed (Fig. 1 legend: across the 27 behavioural sessions)41,106 total choicesNature Neuroscience
Sessions with simultaneous MT and dlPFC recordings (Extended Data Fig. 2 legend: 10 of them from monkey 1)15 recording sessionsNature Neuroscience
MT units analysed (simultaneous sessions) (Extended Data Fig. 2 legend: from the 15 simultaneous recording sessions)258 MT unitsNature Neuroscience
dlPFC units analysed (simultaneous sessions) (Extended Data Fig. 2 legend: from the 15 simultaneous recording sessions)322 dlPFC unitsNature Neuroscience
MT sites microstimulated (Fig. 4 legend: perturbation biased choices toward the preference of the perturbed site)50 sitesNature Neuroscience
MT microstimulation sessions (Fig. 4 legend: some sessions had stimulation on different electrodes on interleaved trials)29 experimental sessionsNature Neuroscience
dlPFC sites microstimulated (Fig. 4 legend: perturbation produced bimodal choices directed to the site preference or the mean unperturbed choice)38 stimulated sitesNature Neuroscience
dlPFC microstimulation sessions (Fig. 4 legend)23 experimental sessionsNature Neuroscience
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