Isolating objective and subjective filling-in using the drift diffusion model.

Spatial context is known to influence the behavioral sensitivity (d') and the decision criterion (c) when detecting low-contrast targets. Of interest here is the effect on the decision criterion. Polat and Sagi (2007) demonstrated that, for a Gabor target positioned between two similar co-aligned high-contrast flankers, the observers' reports of seeing the target (Hit and False Alarm) decreased with increasing target-flanker distance. This effect was more pronounced when the distance was randomized within testing blocks compared to when it was fixed. According to signal detection theory (SDT), the latter result suggests that the decision criterion is adjusted to a specific distance-dependent combination of signal (S) and noise (N) when the S and N statistics are fixed, but not when they vary across trials. However, SDT cannot differentiate between changes in the decision bias (the criterion shift) and changes introduced by variations in S and N (the signal and noise shift). To circumvent this limitation of SDT, we analyzed the reaction time (RT) data within the framework of the drift diffusion model (DDM). We performed an RT analysis of the target-flanker interactions using data from Polat and Sagi (2007) and Zomet et al. (2008; 2016). The analysis revealed a stronger dependence on flankers for faster RTs and a weaker dependence for slower RTs. The results can be explained by DDM, where an evidence accumulation process depends on the flankers via a change in the rate of the evidence (signal and noise shift) and on observers' prior knowledge via a change in the starting point (criterion shift), leading to RT-independent and RT-dependent effects, respectively. The RT-independent distance-dependent response bias is attributed to the observers' inability to learn multiple internal distributions required to accommodate the distance-dependent effects of the flankers on both the signal and noise.

Targeting alertness to improve cognition in older adults: A preliminary report of benefits in executive function and skill acquisition.

Efficient self-regulation of alertness declines with age exacerbating normal declines in performance across multiple cognitive domains, including learning and skill acquisition. Previous cognitive intervention studies have shown that it is possible to enhance alertness in patients with acquired brain injury and marked attention impairments, and that this benefit generalizes to improvements in more global cognitive functions. In the current preliminary studies, we sought to test whether this approach, that targets both tonic (over a period of minutes) and phasic (moment-to-moment) alertness, can improve key executive functioning declines in older adults, and enhance the rate of skill acquisition. The results of both Experiments 1 and 2 demonstrate that, compared to active control (AC) training, alertness training significantly enhanced performance in several validated executive function measures. In Experiment 2, alertness training significantly improved skill acquisition compared to AC training in a well-characterized speed of processing (SOP) task, with the largest benefits shown in the most challenging SOP blocks. The results of the current study suggest that targeting intrinsic alertness through cognitive training provides a novel approach to improve executive functions in older adults and may be a useful adjunct treatment to enhance benefits gained in other clinically validated treatments.

Noise and the Perceptual Filling-in effect.

Nearby collinear flankers increase the false alarm rate (reports of the target being present when it is not) in a Yes-No experiment. This effect has been attributed to "filling-in" of the target location due to increased activity induced by the flankers. According to signal detection theory, false alarms are attributed to noise in the visual nervous system. Here we investigated the effect of external noise on the filling-in effect by adding white noise to a low contrast Gabor target presented between two collinear Gabor flankers at a range of target-flanker separations. External noise modulates the filling-in effect, reducing visual sensitivity (d') and increasing the filling-in effect (False Alarm rate). We estimated the amount of external noise at which the false alarm rate increases by the √2 (which we refer to as NFA). Across flank distances, both the false alarm rate and d' (with no external noise) are correlated with NFA. These results are consistent with the notion that nearby collinear flankers add both signal and noise to the target location. The increased signal results in higher d' values; the increased noise to higher false alarm rates (the filling effect).

Training the brain to overcome the effect of aging on the human eye.

Presbyopia, from the Greek for aging eye, is, like death and taxes, inevitable. Presbyopia causes near vision to degrade with age, affecting virtually everyone over the age of 50. Presbyopia has multiple negative effects on the quality of vision and the quality of life, due to limitations on daily activities - in particular, reading. In addition presbyopia results in reduced near visual acuity, reduced contrast sensitivity, and slower processing speed. Currently available solutions, such as optical corrections, are not ideal for all daily activities. Here we show that perceptual learning (repeated practice on a demanding visual task) results in improved visual performance in presbyopes, enabling them to overcome and/or delay some of the disabilities imposed by the aging eye. This improvement was achieved without changing the optical characteristics of the eye. The results suggest that the aging brain retains enough plasticity to overcome the natural biological deterioration with age.

Excitatory repetitive transcranial magnetic stimulation over the dorsolateral prefrontal cortex does not affect perceptual filling-in in healthy volunteers.

Collinear flankers increase the reports of the target present, an effect attributed to excitatory activation induced by the flankers on the target location, which consequently induces the filling-in effect (Polat & Sagi, 2007). Repetitive transcranial magnetic stimulation (rTMS) is a powerful tool for non-invasive investigation of neural processing in the human brain. We explored how rTMS over the left dorsolateral prefrontal cortex (LDLPFC) affects filling-in perception in normal controls. Active and Sham rTMS were used over the DLPFC (90% of the subjects' motor threshold (MT)) using 10-Hz pulses for 5- and 20-s intertrain intervals. We used the filling-in paradigm to probe hit rates (pHit) and false-positive reports (false alarm, pFA). We found that the changes in the filling-in effect (pHit, pFA) were not significantly different between the groups. However, the reaction time (RT) was significantly reduced in the rTMS group but not in the Sham group. Our results suggest that neural processing in this area is not critical in the processing of the filling-in effect, probably because this process is mediated by lower-level visual processing.

Major depression affects perceptual filling-in.

BACKGROUND: Major depression disorder is a syndrome that involves impairment of cognitive functions such as memory, attention, and plasticity. In this study, we explored whether depression affects perception as well. METHODS: We used a recently developed paradigm that assesses the filling-in process by probing false-positive reports (false alarm [FA]), hit rates (pHit), sensitivity (d'), and decision criteria (Cr). We used a Yes-No paradigm in a low-level detection task involving a Gabor target, in the presence of collinear flankers, inducing filling-in, with differing target-flanker separations of 3-15 lambda(wavelength). The depressive state of patients was assessed using the Hamilton Depression Rating Scale. Two groups were tested: an experimental group with major depression (n = 27) and a control group (n = 32). RESULTS: The performances of the control and the experimental groups were not significantly different regarding d'. In contrast, a specific pattern of significant differences between the control group and the hospitalized group was found for the decision criterion, pHit, and pFA, but only for target-flanker separations of 3 lambda, whereas the results for the other separations were insignificant. The differences between the control and the depressed groups are not due to a global cognitive dysfunction in depression. CONCLUSIONS: The results suggest that the filling-in process is deficient, probably because of reduced excitation among neurons. Neural excitation is a key factor in the neural processing involved in memory and decision making. In addition, it is still possible that the patients may be unable to match their internal representation to the changing sensory information.