Potential confounds in estimating trial-to-trial correlations between neuronal response and behavior using choice probabilities

Kang, In‐Cheol; Maunsell, John H. R.

doi:10.1152/jn.00471.2012

Cited by 55 publications

(57 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although they used a different approach, the choice-related information plots for the individual MT neurons of Ghose and Harrison (2009) are very similar to our narrow matched filters with variable latency shown in Figure 4C. However, it is important to note that none of these studies, including ours, is immune to potential confounds, such as non-stationarity of neural and behavioral responses, which can bias aROC scores (Kang & Maunsell, 2012).…”

Section: Discussionsupporting

confidence: 51%

ROC-Based Estimates of Neural-Behavioral Covariations Using Matched Filters

2014

View full text Add to dashboard Cite

Correlations between responses in visual cortex and perceptual performance help draw a functional link between neural activity and visually guided behavior. These correlations are commonly derived with ROC-based neural-behavioral covariances (referred to as choice or detect probability) using boxcar analysis windows. Although boxcar windows capture the covariation between neural activity and behavior during steady-state stimulus presentations, they are not optimized to capture these correlations during short time-varying visual inputs. In this study, we implemented a matched-filter technique, combined with cross-validation, to improve the estimation of ROC-based neural-behavioral covariance under short and dynamic stimulus conditions. We show that this approach maximizes the area under the ROC curve and converges to the true neural-behavioral covariance using a Poisson spiking model. We also demonstrate that the matched filter, combined with cross-validation, reveals the dynamics of the neural-behavioral covariations of individual MT neurons during the detection of a brief motion stimulus.

show abstract

Section: Discussionsupporting

confidence: 51%

ROC-Based Estimates of Neural-Behavioral Covariations Using Matched Filters

2014

View full text Add to dashboard Cite

show abstract

“…Grand CPs were obtained for each 3-D structureselective site by first z-scoring the neuronal data within each condition (with ≥5 trials per choice and an RT of ≥150 msec; no 100% stereo coherence conditions) and subsequently combining, that is, bringing all z-scored data into one data set, the z-scored data from different conditions to calculate the grand CP. z-Scoring followed the method proposed by Kang and Maunsell (2012), giving a grand CP corrected for biases that occur due to unbalanced samples. We examined the time course of the grand CP using a sliding window analysis in which the grand CP was calculated for the neuronal data contained in a 100-msec time window that was advanced in time in steps of 10 msec.…”

Section: Resultsmentioning

confidence: 99%

Choice-related Activity in the Anterior Intraparietal Area during 3-D Structure Categorization

Verhoef

Michelet

Vogels

et al. 2015

Journal of Cognitive Neuroscience

View full text Add to dashboard Cite

The anterior intraparietal area (AIP) of macaques contains neurons that signal the depth structure of disparity-defined 3-D shapes. Previous studies have suggested that AIP's depth information is used for sensorimotor transformations related to the efficient grasping of 3-D objects. We trained monkeys to categorize disparity-defined 3-D shapes and examined whether neuronal activity in AIP may also underlie pure perceptual categorization behavior. We first show that neurons with a similar 3-D shape preference cluster in AIP. We then demonstrate that the monkeys' 3-D shape discrimination performance depends on the position in depth of the stimulus and that this performance difference is reflected in the activity of AIP neurons. We further reveal correlations between the neuronal activity in AIP and the subject's subsequent choices and RTs during 3-D shape categorization. Our findings propose AIP as an important processing stage for 3-D shape perception.

show abstract

“…SNR: 0.53; Adab & Vogels, 2011), a trend that failed to reach statistical significance (Mann-Whitney U test, p = .2). Applying the correction procedure proposed by Kang and Maunsell (2012) for unbalanced ratios of behavioral choices across stimulus conditions yielded somewhat larger grand CPs for PIT (mean = 0.56; n = 81).…”

Section: Pit Responses In the Coarse Orientation Discrimination Taskmentioning

confidence: 97%

Perceptual Learning of Simple Stimuli Modifies Stimulus Representations in Posterior Inferior Temporal Cortex

Adab

Popivanov

Vanduffel

et al. 2014

Journal of Cognitive Neuroscience

View full text Add to dashboard Cite

Practicing simple visual detection and discrimination tasks improves performance, a signature of adult brain plasticity. The neural mechanisms that underlie these changes in performance are still unclear. Previously, we reported that practice in discriminating the orientation of noisy gratings (coarse orientation discrimination) increased the ability of single neurons in the early visual area V4 to discriminate the trained stimuli. Here, we ask whether practice in this task also changes the stimulus tuning properties of later visual cortical areas, despite the use of simple grating stimuli. To identify candidate areas, we used fMRI to map activations to noisy gratings in trained rhesus monkeys, revealing a region in the posterior inferior temporal (PIT) cortex. Subsequent single unit recordings in PIT showed that the degree of orientation selectivity was similar to that of area V4 and that the PIT neurons discriminated the trained orientations better than the untrained orientations. Unlike in previous single unit studies of perceptual learning in early visual cortex, more PIT neurons preferred trained compared with untrained orientations. The effects of training on the responses to the grating stimuli were also present when the animals were performing a difficult orthogonal task in which the grating stimuli were task-irrelevant, suggesting that the training effect does not need attention to be expressed. The PIT neurons could support orientation discrimination at low signal-to-noise levels. These findings suggest that extensive practice in discriminating simple grating stimuli not only affects early visual cortex but also changes the stimulus tuning of a late visual cortical area.

show abstract

Potential confounds in estimating trial-to-trial correlations between neuronal response and behavior using choice probabilities

Cited by 55 publications

References 43 publications

ROC-Based Estimates of Neural-Behavioral Covariations Using Matched Filters

ROC-Based Estimates of Neural-Behavioral Covariations Using Matched Filters

Choice-related Activity in the Anterior Intraparietal Area during 3-D Structure Categorization

Perceptual Learning of Simple Stimuli Modifies Stimulus Representations in Posterior Inferior Temporal Cortex

Contact Info

Product

Resources

About