Testing cognitive models of decision-making: selected studies with starlings.

The behavioural sciences are home to controversies that have survived for centuries, notably about the relation between observable behaviour and theoretical constructs addressing out-of-sight processes in the agents' brains. There is no shared definition for cognition, but the very existence of a thriving journal called Animal Cognition proves that such controversies are still live and help to (a) promote research on the complexity of processes leading to action, and (b) nudge scholars to restrict their cognitive models to those that can be falsified experimentally. Here, we illustrate some of these issues in a limited arena, focusing on the construction and expression of subjective value and choice. Using mainly work from our own laboratory, we show that valuation of alternatives is sensitive to options' properties, to subject's state, and to background alternatives. These factors exert their influence at the time the subject learns about individual options, rather than at choice time. We also show that valuation can be experimentally dissociated from the cognitive representation of options' metrics and argue that experimental animals process options independently at the time of choice, without elaborated comparisons along different dimensions. The findings we report are not consistent with the hypothesis that preference is constructed at the time of choice, a prevalent view in human decision-making research. We argue that animal cognition, viewed as a research program at the crossroads of different behavioural sciences rather than as a debate about properties of mental life, is inspiring and solid, and a progressive and progressing paradigm.

Comparison of Indicators of Short and Long Latency Auditory Evoked Potentials in Newborns.

Auditory evoked potentials (EVP) are an effective and non-invasive way to assess the functional state of the auditory nerve and auditory sensory pathways of the brainstem. An increase in the latent periods of peaks III, IV, V, as well as a lengthening of the time of central sound conduction of III-V and I-V waves in all newborns with hyperbilirubinemia, indicates a pathology of hearing of central origin with impaired conduction along the auditory pathways at the level of the lower and middle third of the brain pons.

The functional equivalence of two variants of the suboptimal choice task: choice proportion and response latency as measures of value.

In the suboptimal-choice task, birds systematically choose the leaner but informative option (suboptimal) over the richer but non-informative option (optimal). The task has two variations. In the standard task, the optimal option includes two terminal link stimuli. In the original task, it includes a single terminal link stimulus. Two models, the temporal information account (Cunningham and Shahan, J Exp Psychol Anim Learn Cogn 44:1-22, 2018) and the ∆-∑ hypothesis (González et al., J Exp Anal Behav 113:591-608, 2020), presuppose that these procedures are equivalent, but no formal comparison is available. Here we test whether or not these procedures are functionally equivalent. One group of pigeons was trained with the standard procedure, another group with the original procedure, and a third group was trained with a hybrid of the other two (i.e., the two options were the optimal links of the standard and original procedures). Our findings indicate that the number of terminal link stimuli in the optimal option is inconsequential vis-à-vis choice. Moreover, our findings also indicate that latencies to respond are a sensitive metric of value and choice. As predicted by the Sequential Choice Model, we were able to predict simultaneous choices from the latencies of sequential choices and observed a substantial shortening of latencies during simultaneous choices.

Towards a Sustainable City for Cyclists: Promoting Safety through a Mobile Sensing Application.

Riding a bicycle is a great manner to contribute to the preservation of our ecosystem. Cycling helps to reduce air pollution and traffic congestion, and so, it is one of the simplest ways to lower the environmental footprint of people. However, the cohabitation of cars and vulnerable road users, such as bikes, scooters, or pedestrians, is prone to cause accidents with serious consequences. In this context, technological solutions are sought that enable the generation of alerts to prevent these accidents, thereby promoting a safer city for these road users, and a cleaner environment. Alert systems based on smartphones can alleviate these situations since nearly all people carry such a device while traveling. In this work, we test the suitability of a smartphone based alert system, determining the most adequate communications architecture. Two protocols have been designed to send position and alert messages to/from a centralized server over 4G cellular networks. One of the protocols is implemented using a REST architecture on top of the HTTP protocol, and the other one is implemented over the UDP protocol. We show that the proposed alarm system is feasible regarding communication response time, and we conclude that the application should be implemented over the UDP protocol, as response times are about three times better than for the REST implementation. We tested the applications in real deployments, finding that drivers are warned of the presence of bicycles when closer than 150 m, having enough time to pay attention to the situation and drive more carefully to avoid a collision.

Are divergence point analyses suitable for response time data?

Estimating the time course of the influence of different factors in human performance is one of the major topics of research in cognitive psychology/neuroscience. Over the past decades, researchers have proposed several methods to tackle this question using latency data. Here we examine a recently proposed procedure that employs survival analyses on latency data to provide precise estimates of the timing of the first discernible influence of a given factor (e.g., word frequency on lexical access) on performance (e.g., fixation durations or response times). A number of articles have used this method in recent years, and hence an exploration of its strengths and its potential weaknesses is in order. Unfortunately, our analysis revealed that the technique has conceptual flaws, and it might lead researchers into believing that they are obtaining a measurement of processing components when, in fact, they are obtaining an uninterpretable measurement.

Temporal Dynamics and Response Modulation across the Human Visual System in a Spatial Attention Task: An ECoG Study.

The selection of behaviorally relevant information from cluttered visual scenes (often referred to as "attention") is mediated by a cortical large-scale network consisting of areas in occipital, temporal, parietal, and frontal cortex that is organized into a functional hierarchy of feedforward and feedback pathways. In the human brain, little is known about the temporal dynamics of attentional processing from studies at the mesoscopic level of electrocorticography (ECoG), that combines millisecond temporal resolution with precise anatomical localization of recording sites. We analyzed high-frequency broadband responses (HFB) responses from 626 electrodes implanted in 8 epilepsy patients who performed a spatial attention task. Electrode locations were reconstructed using a probabilistic atlas of the human visual system. HFB responses showed high spatial selectivity and tuning, constituting ECoG response fields (RFs), within and outside the topographic visual system. In accordance with monkey physiology studies, both RF widths and onset latencies increased systematically across the visual processing hierarchy. We used the spatial specificity of HFB responses to quantitatively study spatial attention effects and their temporal dynamics to probe a hierarchical top-down model suggesting that feedback signals back propagate the visual processing hierarchy. Consistent with such a model, the strengths of attentional modulation were found to be greater and modulation latencies to be shorter in posterior parietal cortex, middle temporal cortex and ventral extrastriate cortex compared with early visual cortex. However, inconsistent with such a model, attention effects were weaker and more delayed in anterior parietal and frontal cortex.SIGNIFICANCE STATEMENT In the human brain, visual attention has been predominantly studied using methods with high spatial, but poor temporal resolution such as fMRI, or high temporal, but poor spatial resolution such as EEG/MEG. Here, we investigate temporal dynamics and attention effects across the human visual system at a mesoscopic level that combines precise spatial and temporal measurements by using electrocorticography in epilepsy patients performing a classical spatial attention task. Electrode locations were reconstructed using a probabilistic atlas of the human visual system, thereby relating them to topography and processing hierarchy. We demonstrate regional differences in temporal dynamics across the attention network. Our findings do not fully support a top-down model that promotes influences on visual cortex by reversing the processing hierarchy.

Estimations of Typical, Ideal, Premature Ejaculation, and Actual Latencies by Men and Female Sexual Partners of Men During Partnered Sex.

BACKGROUND: The ejaculation latency (ELT) criterion for men with premature ejaculation (PE), including its 2 major subtypes of lifelong and acquired, relies heavily on expert opinion, yet such information represents only one source of data for this determination; furthermore, information regarding ELTs for PE within specific subgroups of men (eg, gay, bisexual) has been lacking. AIM: To obtain data regarding men's lived experiences and expectations regarding typical ejaculation, ideal ejaculation, and PE and (for men) self-reported ejaculatory latencies during partnered sex across a variety a groups, including men vs women (ie, sexual partners of men), men with and without PE, and straight vs gay/bisexual men. METHODS: We recruited 1,065 men and sexual partners of men, asking them to estimate typical ejaculation, ideal ejaculation, and PE and (for men) self-latencies through an online survey posted on social media. Demographics, sexual identity, and sexual response data were also collected. RESULTS: Typical and self-reported ELTs were closely aligned with those reported in the literature, with ideal ELTs generally longer than typical ELTs. Median PE ELTs were consistently estimated around 1.5 min, with nearly all subgroups-men vs women; straight vs gay; PE and non-PE men-showing alignment on this criterion. Men with lifelong PE did not differ from men with acquired PE in either their PE ELT estimation or their self-reported ELT. CLINICAL IMPLICATIONS: The data support the idea of extending the latency cutoff for establishing a PE diagnosis beyond the current 1-minute threshold. STRENGTHS & LIMITATIONS: A large sample size drawn from a multinational population powered the study, whereas the use of social media for recruitment and lack of inclusion of lesbian and asexual individuals may have missed relevant data from some who have had sexual experience with men. CONCLUSION: Straight and nonstraight men do not differ in their ELT estimations. In addition, the use of different ELT criteria for lifelong vs acquired PE may be unnecessary. Côté-Léger P, Rowland DL. Estimations of Typical, Ideal,Premature Ejaculation,and Actual Latencies by Men and Female Sexual Partners of Men During Partnered Sex. J Sex Med 2020;17:1448-1456.

Optimal time-varying postural control in a single-link neuromechanical model with feedback latencies.

Maintaining balance during quiet standing is a challenging task for the neural control mechanisms due to the inherent instabilities involved in the task. The feedback latencies and the lowpass characteristics of skeletal muscle add to the difficulty of regulating postural dynamics in real-time. Inverted-pendulum (IP) type robotic models have served as a popular paradigm to investigate control of postural balance. In this study, an in-depth neuromechanical postural control model is developed from physiological principles. The model comprises a single-segment IP robotic model, Hill-type muscle model, and proprioceptive feedback from the muscle spindle (MS) and golgi tendon organ (GTO). An optimal proportional-integral-derivative (PID) controller is proposed to realize effective postural control amid latencies in sensory feedback. The neural commands for postural stabilization are generated by a time-varying PID controller, tuned using linear quadratic regulator (LQR) principles. Computer simulations are used to assess the efficacy of the tuned PID-LQR controller. Sensitivity analysis of the controlled system shows a delay tolerance of 300ms. Preliminary empirical data in support of the mathematical model were obtained from perturbation experiments. The model response to perturbation torque, measured in terms of the center of mass (COM) excursion in the anterior-posterior (AP) direction, displays a high degree of correlation with the empirical data ([Formula: see text]).

TMS motor mapping in brain tumor patients: more robust maps with an increased resting motor threshold.

OBJECTIVE: Navigated transcranial magnetic stimulation (nTMS) has found widespread usage across many clinical centers as part of their surgical planning routines. NTMS offers a non-invasive approach to delineation of the motor cortex, in which the region is outlined through electromagnetic stimulation and electromyographic recordings of target muscles. Several neurophysiological parameters such as the motor evoked potential (MEP) and its derivatives, the resting motor threshold (RMT) and motor latency, are collected. The present study investigates the clinical feasibility and reproducibility of increasing the MEP threshold in brain tumor patients, with the goal to improve the robustness of the procedure. MATERIALS AND METHODS: Twenty-three subjects with peri-motor cortex tumors underwent motor mapping with nTMS. RMT was calculated with both conventional 50-µV and experimental 500-µV MEP amplitude thresholds. Motor mapping was performed with 105% of both RMTs stimulator intensity using the FDI as the target muscle. RESULTS: Motor mapping was possible in 20 patients with both the conventional and experimental thresholds. No significant differences in area size were found between motor area maps generated with a conventional 50-µV threshold in comparison to those generated with the higher 500-µV threshold (50 µV 272.56 mm2 [170.47-434.31] vs. 500 µV 240.54 mm2 [169.77-362.84], P = 0.34). Latency time was significantly reduced in 500-µV recordings relative to 50-µV recordings (50 µV 23.38 ms [22.55-24.51] vs. 500 µV 22.57 ms [21.41-23.70], P < 0.001). Both electric field intensity (50 µV 63.81 V/m [54.26-76.11] vs. 500 µV 77.83 V/m [65.21-93.94], P < 0.001) and RMT (50 µV 33 MSO% [28-36] vs. 500 µV 39.5 MSO% [32-44], P < 0.001) were significantly greater with the higher 500-µV threshold. CONCLUSIONS: Our study demonstrates the feasibility of increasing the MEP detection threshold to 500 µV in brain tumor patients for RMT determination and motor area mapping with nTMS.

Preservation of motor maps with increased motor evoked potential amplitude threshold in RMT determination.

OBJECTIVE: Non-invasive pre-surgical mapping of eloquent brain areas with navigated transcranial magnetic stimulation (nTMS) is a useful technique linked to the improvement of surgical planning and patient outcomes. The stimulator output intensity and subsequent resting motor threshold determination (rMT) are based on the motor-evoked potential (MEP) elicited in the target muscle with an amplitude above a predetermined threshold of 50 µV. However, a subset of patients is unable to achieve complete relaxation in the target muscles, resulting in false positives that jeopardize mapping validity with conventional MEP determination protocols. Our aim is to explore the feasibility and reproducibility of a novel mapping approach that investigates how an increase of the MEP amplitude threshold to 300 and 500 µV affects subsequent motor maps. MATERIALS AND METHODS: Seven healthy subjects underwent motor mapping with nTMS. RMT was calculated with the conventional methodology in conjunction with experimental 300- and 500-µV MEP amplitude thresholds. Motor mapping was performed with 105% of rMT stimulator intensity using the FDI as the target muscle. RESULTS: Motor mapping was possible in all patients with both the conventional and experimental setups. Motor area maps with a conventional 50-µV threshold showed poor correlation with 300-µV (α = 0.446, p < 0.001) maps, but showed excellent consistency with 500-µV motor area maps (α = 0.974, p < 0.001). MEP latencies were significantly less variable (23 ms for 50 µV vs. 23.7 ms for 300 µV vs. 23.7 ms for 500 µV, p < 0.001). A slight but significant increase of the electric field (EF) value was found (EF: 60.8 V/m vs. 64.8 V/m vs. 66 V/m p < 0.001). CONCLUSION: Our study demonstrates the feasibility of increasing the MEP detection threshold to 500 µV in rMT determination and motor area mapping with nTMS without losing precision.

A blind spot in correct naming latency analyses.

Speech errors and naming latencies provide two complementary sets of behavioural data for understanding language production processes. A recent analytical trend-applied to intact and impaired production alike-highlights a link between specific features of correct picture naming latency distributions and the retrieval processes thought to underlie them. Although chronometric approaches to language production typically consider correct response times in isolation, adequately accounting for their distributions in error-prone situations requires also considering the errors that sometimes censor them. In this paper, I illustrate by simulation how excluding incorrect word retrievals predictably alters observed distributions of correct naming latencies. To the extent that naming errors impose a stochastic deadline on successful production, their censoring should tend to reduce the mean, variance, and skew of observed latencies for correct responses, relative to the uncensored underlying distribution.

Blink reflex habituation in migraine and chronic tension-type headache.

ΑBSTRACT: R1 and R2 blink reflex latencies were investigated blind in 55 patients with chronic tension-type headache, 55 patients with migraine, and 55 headache-free controls. Standard electrical stimulation of the supraorbital nerve was applied and the response was recorded from the ipsilateral orbicularis oculi muscles. There were no R1 or R2 latency differences between the three groups. During migraine attacks we observed a statistically significant reduction of R2 amplitude and area. The main finding of our study was the elicitation of the late R2" response at different interstimulus intervals in migraine patients compared to the tension-type headache and control groups. This could be considered an indication of habituation mechanism hyperexcitability, although further investigation is needed to confirm these findings and establish the neurophysiologic basis. This study suggests that blink reflex studies can be used routinely as a non-evasive and inexpensive method for the evaluation of headache patients.

Impact of hyponatremia on nerve conduction and muscle strength.

BACKGROUND: Hyponatremia is associated with unstable gait and propensity to falls. The potential contribution of peripheral nervous system dysfunction induced by hyponatremia has not yet been addressed by prospective studies. DESIGN: In the first part of this prospective study, we performed two tests evaluating muscle strength (grip test and quadriceps isometric contraction test) together with a timed up and go (TUG) test in 11 patients with chronic mild-to-moderate hyponatremia before and after the normalization of natremia. In the second part, we measured nerve conduction velocities and F-wave latencies in nine patients with profound hyponatremia (< 125 mmol/L) before and after the normalization of natremia. RESULTS: No significant change in muscle strength was observed when natremia was corrected from 127·7 ± 2·5 to 136·1 ± 1·8 mmol/L, contrary to a significant improvement in TUG from 14·9 ± 5·1 to 12·5 ± 4·7 s (P = 0·006). Nerve conduction velocities and F-wave latencies showed significant improvement in most of the studied nerves when natremia was corrected from 121·9 ± 2·4 to 135·5 ± 3·4 mmol/L (e.g. mean increase of 14·3% for motor nerve conduction and mean decrease of 21·6% for F-wave latency of left peroneal nerve). CONCLUSION: Whereas chronic mild-to-moderate hyponatremia has no impact on muscle strength, we demonstrate for the first time an impact of profound hyponatremia on nerve conduction studies. Further studies are needed to ascertain the contribution of these latter results on gait disturbances, propensity to falls and attention deficits associated with hyponatremia.

The effect of sacral neuromodulation on pudendal nerve function and female sexual function.

AIMS: To quantify changes in pudendal nerve function with sacral neuromodulation (SNM). To understand the relationship of pudendal nerve function to SNM treatment response for overactive bladder. To assess the relationship between female sexual function and pudendal nerve function after SNM. METHODS: Women undergoing SNM between January 2010 and May 2011 were enrolled. Baseline pudendal nerve terminal motor latencies (PNTML) were measured bilaterally. Subjects underwent peripheral nerve evaluation (PNE) prior to SNM therapy. PNTML was measured at 1 and 6 weeks after sacral neuromodulator implant. Women who did not undergo permanent implantation were reassessed at the end of the 1-week PNE testing phase. Pelvic floor and sexual function questionnaires were administered at baseline and follow-up to assess pelvic floor and sexual function. RESULTS: Of 34 women enrolled, 31 were evaluated. Mean age was 67.4 ± 14.2 years with 29/34 (85.3%) treated for refractory overactive bladder. Thirty of 31 (96.7%) went on to a permanent implant. PNE success rate was 73.5% (25/33). Mean PNTML changed from 2.74 ± 0.52 msec at baseline to 2.57 ± 0.50 msec at 6 weeks postop (P = 0.198). Baseline amplitude remained stable at 1 and 6 weeks. At 6 weeks PISQ-12 scores showed improved sexual function (P = 0.034) and PFDI-20 and PFIQ-7 scores showed improved pelvic floor, colorectal and urinary symptoms (P < 0.05). CONCLUSIONS: Women with refractory overactive bladder and non-obstructive urinary retention have abnormal pudendal nerve function, which showed a non-significant trend toward improvement after SNM. Sexually active women undergoing sacral neuromodulation experienced improvement in sexual function. Quality of life improved due to improvement in urinary and colorectal function.

Response latencies are alive and well for identifying fakers on a self-report personality inventory: A reconsideration of van Hooft and Born (2012).

Van Hooft and Born (Journal of Applied Psychology 97:301-316, 2012) presented data challenging both the correctness of a congruence model of faking on personality test items and the relative merit (i.e., effect size) of response latencies for identifying fakers. We suggest that their analysis of response times was suboptimal, and that it followed neither from a congruence model of faking nor from published protocols on appropriately filtering the noise in personality test item answering times. Using new data and following recommended analytic procedures, we confirmed the relative utility of response times for identifying personality test fakers, and our obtained results, again, reinforce a congruence model of faking.

Assessing the Brainstem Auditory Evoked Potentials in Subjects with Family History of Hypertension.

Background: Hypertension (HTN) has a genetic predisposition and it also impairs microcirculation, thereby, affecting the well vascularized structures like the brainstem and causing changes in Brainstem Auditory Evoked Potentials (BAEPs). Purpose: To find out the usefulness of BAEPs as a screening tool in apparently healthy individuals with a family history of HTN. Methods: One hundred and ten volunteers, aged 17 to 23 years, were enrolled in the study as participants with proper consent. After excluding the subjects with existing diseases or co-morbidities (e.g. diabetes, HTN, schizophrenia, neuropathy, etc.), those on ototoxic or neurotoxic drugs, a preliminary physical examination was performed, following which BAEPs were recorded with a proper device. Statistical analysis is done with SPSS 2016 software using the chi-square test. Results: A consistent distortion in the inter-peak latency of III-V waves is noted when a family history of HTN is present in either parent or maternal grandparents. Other statistically significant findings are present in V/I% (HTN in mother), wave I (HTN in paternal grandfather), wave III (HTN in maternal grandfather), and inter-peak latency I-V (HTN in maternal grandmother). Conclusion: BAEP may be used as a screening tool in individuals with a family history of HTN with supportive evidence from further studies in the near future.

Evaluation of the auditory brainstem response test in patients with type 2 diabetes mellitus.

Background: Hearing loss is an unknown complication of diabetes mellitus (DM). The aim of this study was to evaluate hearing function using auditory brainstem response (ABR) in diabetic patients. Methods: The present case-control study was performed on thirty diabetic patients as a case group and thirty healthy individuals as a control group. Baseline demographic information, HbA1c level, and duration of diabetes were obtained from all diabetic patients. In all subjects, the ABR and pure-tone audiometry (PTA) tests were performed and the results were analyzed using the t-test and logistic regression. Results: The absolute latency of I was significantly lower in diabetes patients. The absolute latency of III and the interpeak latencies (IPL) I-III were significantly higher in diabetic patients. No significant relationship was noticed in the absolute latency of V and the IPL I-V among diabetic patients in the right and left ears (P>0.05). Conclusion: The results of this study suggested that diabetes may cause central auditory dysfunction manifested on the absolute latency of III, the IPL I-III and III-V.

Backward neural network (BNN) based multilevel control for enhancing the quality of an islanded RES DC microgrid under variable communication network.

Microgrids (MGs) and energy communities have been widely implemented, leading to the participation of multiple stakeholders in distribution networks. Insufficient information infrastructure, particularly in rural distribution networks, is leading to a growing number of operational blind areas in distribution networks. An optimization challenge is addressed in multi-feeder microgrid systems to handle load sharing and voltage management by implementing a backward neural network (BNN) as a robust control approach. The control technique consists of a neural network that optimizes the control strategy to calculate the operating directions for each distributed generating point. Neural networks improve control during communication connectivity issues to ensure the computation of operational directions. Traditional control of DC microgrids is susceptible to communication link delays. The proposed BNN technique can be expanded to encompass the entire multi-feeder network for precise load distribution and voltage management. The BNN results are achieved through mathematical analysis of different load conditions and uncertain line characteristics in a radial network of a multi-feeder microgrid, demonstrating the effectiveness of the proposed approach. The proposed BNN technique is more effective than conventional control in accurately distributing the load and regulating the feeder voltage, especially during communication failure.

How robust is the relationship between neural processing speed and cognitive abilities?

Individual differences in processing speed are consistently related to individual differences in cognitive abilities, but the mechanisms through which a higher processing speed facilitates reasoning remain largely unknown. To identify these mechanisms, researchers have been using latencies of the event-related potential (ERP) to study how the speed of cognitive processes associated with specific ERP components is related to cognitive abilities. Although there is some evidence that latencies of ERP components associated with higher-order cognitive processes are related to intelligence, results are overall quite inconsistent. These inconsistencies likely result from variations in analytic procedures and little consideration of the psychometric properties of ERP latencies in relatively small sample studies. Here we used a multiverse approach to evaluate how different analytical choices regarding references, low-pass filter cutoffs, and latency measures affect the psychometric properties of P2, N2, and P3 latencies and their relations with cognitive abilities in a sample of 148 participants. Latent correlations between neural processing speed and cognitive abilities ranged from -.49 to -.78. ERP latency measures contained about equal parts of measurement error variance and systematic variance, and only about half of the systematic variance was related to cognitive abilities, whereas the other half reflected nuisance factors. We recommend addressing these problematic psychometric properties by recording EEG data from multiple tasks and modeling relations between ERP latencies and covariates in latent variable models. All in all, our results indicate that there is a substantial and robust relationship between neural processing speed and cognitive abilities when those issues are addressed.

CLET: Computation of Latencies in Event-related potential Triggers using photodiode on virtual reality apparatuses.

To investigate event-related activity in human brain dynamics as measured with EEG, triggers must be incorporated to indicate the onset of events in the experimental protocol. Such triggers allow for the extraction of ERP, i.e., systematic electrophysiological responses to internal or external stimuli that must be extracted from the ongoing oscillatory activity by averaging several trials containing similar events. Due to the technical setup with separate hardware sending and recording triggers, the recorded data commonly involves latency differences between the transmitted and received triggers. The computation of these latencies is critical for shifting the epochs with respect to the triggers sent. Otherwise, timing differences can lead to a misinterpretation of the resulting ERPs. This study presents a methodical approach for the CLET using a photodiode on a non-immersive VR (i.e., LED screen) and an immersive VR (i.e., HMD). Two sets of algorithms are proposed to analyze the photodiode data. The experiment designed for this study involved the synchronization of EEG, EMG, PPG, photodiode sensors, and ten 3D MoCap cameras with a VR presentation platform (Unity). The average latency computed for LED screen data for a set of white and black stimuli was 121.98 ± 8.71 ms and 121.66 ± 8.80 ms, respectively. In contrast, the average latency computed for HMD data for the white and black stimuli sets was 82.80 ± 7.63 ms and 69.82 ± 5.52 ms. The codes for CLET and analysis, along with datasets, tables, and a tutorial video for using the codes, have been made publicly available.