Cited by 500Visual perception and processing mechanismsNeural dynamics and brain functionNeural and Behavioral Psychology Studies

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index; 1 of the 68 sources its claims cite were checked for support.

Bounded Integration in Parietal Cortex Underlies Decisions Even When Viewing Duration Is Dictated by the Environment

Open access
Kiani, Roozbeh, Hanks, Timothy D., Shadlen, Michael N.·2008·The Journal of Neuroscience

Abstract

Decisions about sensory stimuli are often based on an accumulation of evidence in time. When subjects control stimulus duration, the decision terminates when the accumulated evidence reaches a criterion level. Under many natural circumstances and in many laboratory settings, the environment, rather than the subject, controls the stimulus duration. In these settings, it is generally assumed that subjects commit to a choice at the end of the stimulus stream. Indeed, failure to benefit from the full stream of information is interpreted as a sign of imperfect accumulation or memory leak. Contrary to these assumptions, we show that monkeys performing a direction discrimination task commit to a choice when the accumulated evidence reaches a threshold level (or bound), sometimes long before the end of stimulus. This bounded accumulation of evidence is reflected in the activity of neurons in the lateral intraparietal cortex. Thus, the readout of visual cortex embraces a termination rule to limit processing even when potentially useful information is available.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Monkeys performing a fixed-duration motion discrimination task committed to a choice when accumulated evidence reached a bound, sometimes well before stimulus offset, so late information was ignored rather than leaked. LIP activity reflected this bounded accumulation and predicted response times on short no-delay trials.

Key findings

  • Behavioral accuracy improved with longer viewing duration but saturated; discrimination thresholds deviated from perfect square-root-of-time accumulation after ~420 ms (transition at n=15, durations 403–443 ms). A bounded-accumulator model fit better than a leaky-accumulator model (BIC 59.5; Bayes factor 8.35 × 10^12).
  • Weak 3.2% coherence motion pulses biased choices overall by 1.3 ± 0.1% coherence (p < 10^-8), but in trials >700 ms, late pulses had no significant effect (third quartile: 0.2 ± 0.4%, p = 0.26; fourth quartile: −0.1 ± 0.4%, p = 0.63), while early pulses did (p = 0.018).
  • In 51 LIP neurons, decision-related activity began ~207 ± 13 ms after motion onset, and mean responses reached a common criterion at 257 ± 9 ms. For short (<200 ms) no-delay trials, neural buildup rate was larger for fast responses (slope change, 48.7 ± 21.3 spikes/s²; p = 0.02), but this difference was absent in delay and long-duration trials.
  • Bound-crossing time estimated from single-trial LIP activity correlated with RT on short no-delay trials (r = 0.16; p = 1.4 × 10^-4) and was reduced by inserting a delay (p = 0.0005). Error trials showed the same pattern: faster errors had larger buildup rates for short no-delay trials (59.4 ± 31.2 spikes/s²; p = 0.05).

Methods

  • Two male rhesus monkeys performed a direction discrimination task with dynamic random dots; coherence was 0, 6.4, 12.8, 25.6, or 51.2%, and stimulus duration was randomly sampled from 80–1500 ms. The Go signal either coincided with motion offset or followed a 500–1000 ms delay. Data included 51 LIP neurons, 42,647 physiology-plus-psychophysics trials, and 60,921 additional psychophysics trials.
  • A motion-pulse experiment in one monkey added a 200 ms, 3.2% coherence pulse at random times on every trial (18,017 trials; durations 280–1500 ms). Analyses used psychometric fits, bilinear threshold fitting, motion-energy filters, leaky- versus bounded-accumulator model comparison, logistic regression for pulse bias, neural PSTHs, input-variance estimation, and regression of neural buildup/bound-crossing times against RT.

Limitations

  • The paper states that the actual bound level is unknown, bound-crossing times are noisy single-neuron estimates, and trial-by-trial neural–RT correlations are weak with slopes <1; RT is also limited by motor preparation and Go-signal detection. It notes that error trials for long durations were too few for similar analysis, and the pulse experiment used only one monkey.
  • Evident from the text: the main LIP findings are correlational, with no causal manipulation in this paper (though the authors cite prior microstimulation work); the sample is limited to two monkeys and 51 LIP neurons, and the short/long duration cutoffs are somewhat arbitrary, though the paper says results do not rest critically on that choice.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1523/jneurosci.4761-07.2008

Cites

90 of 90 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

69 Own result · 48 Own interpretation · 30 Not checked yet · 9 Own method · 6 No basis given · 1 Supported so far

Verify all 67 references — free account
  • It may state two separate claims as one. 31
  • The quote only partly states this claim. 2
  • Probably not a substantial claim. 29
55 of 55
  • The authors state this as an assumption.

    Spiking is a point process.

    “Under the assumption that spiking is a point process, the input variance may be estimated by subtracting ϫ mean spike count from the measured variance.”
  • The paper relies on this without support.

    When a behavioral response is solicited by an exogenous cue or instruction, there can be a discrepancy between the time of response and commitment to a choice.

    “Second, when a behavioral response is solicited by an exogenous cue or instruction, there can be a discrepancy between the time of response and commitment to a choice.”
  • The paper relies on this without support.

    The stochastic motion stimulus produces a stream of evidence samples that are statistically independent over the time course of the trial.

    “The stochastic motion stimulus used in these experiments produces a stream of evidence samples that are statistically independent over the time course of the trial.”
  • The authors state this as an assumption.

    The bound height for each neuron is near the level of firing rate that the neuron attains at the end of long-duration stimuli or during the delay period after the stimulus in delay trials.

    “according to our hypothesis, it should be near the level of firing rate that a neuron attains at the end of the long-duration stimuli or during the delay period after the stimulus in the delay trials (Mazurek et al., 2003).”
  • The paper relies on this without support.

    At any moment, in any one trial, the stimulus contains motion energy toward or away from the targets.

    “at any moment, in any one trial, the stimulus contains motion energy toward or away from the targets.”
  • The paper relies on this without support.

    Behavior is controlled by many neurons, and estimates of bound-crossing times from a single neuron in each trial are highly variable.

    “the behavior is undoubtedly controlled by many neurons, and the estimates of bound-crossing times from a single neuron in each trial are highly variable.”
  • The paper relies on this without support.

    Collecting evidence for reaching a decision consumes limited mental resources and retards engagement in other decisions or cognitive functions.

    “Collecting evidence for reaching a decision consumes limited mental resources and retards engagement in other decisions or cognitive functions.”
  • The paper relies on this without support.

    The bound on evidence establishes the trade-off between accuracy and speed of decisions.

    “This bound establishes the trade off between accuracy and speed of decisions.”
  • The paper relies on this without support.

    Cognitive processes, unlike simple behaviors, may be dynamically switched on and off at will.

    “Unlike simple behaviors, which are more or less automatic, cognitive processes may be dynamically switched on and off at will.”
9 of 9

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Citations

Cites

Show all 90 references

Research works printed but not linked: 4

  1. Kim C Myung IJ (1995) Proceedings of the Seventeenth Annual Meeting of the Cognitive Science Society Incorporating real-time random effects in neural networks: a temporal summation mechanism, eds Moore JD Lehman JF (Erlbaum, Hillsdale, NJ), pp 472–477.
  2. Movshon, 1988, Spatio-temporal tuning and speed sensitivity in macaque visual cotical neurons, Invest Ophthalmol Vis Sci, 29, 327
  3. Shadlen MN Gold JI (2004) in The cognitive neurosciences, The neurophysiology of decision-making as a window on cognition, ed Gazzaniga MS (MIT, Cambridge, MA).
  4. Simon, 1959, Theories of decision-making in economics and behavioral science, Am Econ Rev, 49, 253

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Metadata

Authors
Kiani, R., Hanks, T. D., & Shadlen, M. N.
Affiliations
Howard Hughes Medical Institute (US)
Venue
The Journal of Neuroscience
Published
2008-03-19
Volume
28
Issue
12
Pages
3017-3029
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2063716754
Cited by
500
References
90
Citations by year
2026: 15 · 2025: 27 · 2024: 23 · 2023: 26 · 2022: 29 · 2021: 36 · 2020: 27 · 2019: 29 · 2018: 34 · 2017: 33 · 2016: 31 · 2015: 32 · 2014: 31 · 2013: 30 · 2012: 37
FWCI
10.33
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Howard Hughes Medical Institute
  • National Eye Institute (EY11378, R01EY011378)
  • National Center for Research Resources (RR00166, P51RR000166)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
decision-making, evidence accumulation, stimulus duration, direction discrimination, memory leaks
MeSH terms
Animals, Behavior, Animal, Choice Behavior, Discrimination, Psychological, Environment, Eye Movements, Macaca mulatta, Male, Motion Perception, Neurons, Parietal Lobe, Reaction Time, Statistics as Topic, Time Factors, Signal Detection, Psychological, Entropy

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