01 / Understand
What it is
Detecting, distinguishing and interpreting
Hearing that a sound is present, deciding which tone is higher and understanding speech in noise are separate tasks. They draw differently on sensory sensitivity, attention, learned categories and memory. A person can have difficulty with pitch relationships without that result proving reduced sensitivity to all sounds. Research on congenital amusia distinguishes musical processing from a general hearing threshold. 2 3
Color discrimination concerns differences among colors, while naming a boundary between green and blue also involves a language category. Our ordering task and boundary task ask different questions. Their results depend on what the screen actually displays; a display task cannot automatically inherit norms from calibrated clinical equipment. 1
A simplified brain account involves specialized sensory pathways and cortical representations interacting with attention and memory. Time judgments additionally recruit systems involved in predicting and coordinating events and movements. The relation between hearing a beat and tapping to it is a sensorimotor task, not a direct meter of a single internal clock. 4 5
Helibrain’s hearing, musical-ear, color and time activities deliberately keep these outputs separate. There is no common “perception IQ” that can be calculated from their units.
How we measure it
| Task family | What the result concerns | Why online context matters |
|---|---|---|
| Tone detection | Whether a sound is audible in the setup | Headphones, output level, noise and calibration |
| Pitch discrimination | Which of two tones is higher | Frequency range, comparison interval and task rule |
| Speech in noise | Identify speech with competing sound | Speech material, language and signal-to-noise ratio |
| Color ordering | Put nearby colors in order | Display gamut, brightness and viewing conditions |
| Time production/reproduction | Mark or reproduce an interval | Counting, attention, memory and motor response |
| Synchronization | Align taps with a beat | Timing variability, anticipation and device delay |
The UK Biobank speech-in-noise study is useful because it explicitly separates hearing from cognitive contributors. It does not validate an uncalibrated headphone task as an audiogram. A threshold reported in its signal-to-noise units should not be compared with your computer’s volume setting. 6
Taps can precede a metronome slightly in synchronization experiments. That does not mean a person reacted to a future event; prediction and alignment differ from reacting to an unpredictable cue. Device effects must also be considered. 7 8
Spontaneous tapping tempo is a further distinct measure: it samples a chosen comfortable pace, not necessarily the accuracy of reproducing an external interval. 9
Age and norms: what is a fair comparison?
A single age-norm table cannot combine hearing, color and timing. The table instead records what the cited age studies actually support, preserving their task and sample boundaries.
| Domain and ages studied | Age finding | Why it is not a Helibrain norm |
|---|---|---|
| Color contrast, 216 participants aged 15–79 | The 20–24 group outperformed the broad older groups; age effects differed by cone system | Standardized contrast equipment and conditions differ from a browser display |
| Speech in noise, adults aged 40–69 | Performance declined with age, with a steeper pattern from about 50 | Speech material, noise ratio and hearing setup are specific to that study |
| Spontaneous tapping, lifespan literature | Preferred tempo varies with age and methodology | A preferred interval is not a time-estimation cutoff |
The first row comes from the color study’s participant table and results; the second from the speech-in-noise age analyses; the third from a systematic review. These are age findings, not a fabricated set of normal Hz, color-error or timing scores for every birthday. 1 6 9
For calibrated interpretation, the comparison must use the actual procedure and relevant demographics. For personal browser comparisons, retain the same equipment and settings. We do not publish a representative age-percentile conversion for these versions.
02 / Put it in context
What affects it
Evidence labels answer “is there an effect on this outcome?” They do not promise a particular gain. Where a Helibrain evidence-base rating exists, its population and outcome stay attached. “Not graded” means we have no matching rating; it does not mean no effect. Age and device findings are measurement evidence, not treatment grades.
Sleep
Not graded for sensory thresholdsVigilance evidence is indirect.
Sleep loss can affect readiness during a perceptual task. The vigilance grade does not establish a change in hearing sensitivity, color discrimination or a particular timing error. 10
Stress
Not graded for these outcomesWorking-memory and flexibility evidence is indirect.
Acute stress findings cannot be turned into a general sensory-threshold rating. A perceptual task can draw on control without measuring control alone. 11
Exercise
Too little evidenceStored rating: broad general cognition.
The broad exercise rating is Very low. It does not establish sharper color vision, hearing thresholds or more accurate interval production from our activities. 12
Age
Age comparisonsSeparate domains and calibrated methods.
Practice
Not formally graded herePerceptual learning; stimulus and task specificity matter.
Perceptual practice can produce learning, but its transfer depends on stimuli, task and training conditions. It does not establish a general improvement in all perception. 13
Devices
Measurement evidenceA central limitation for sensory and timing measurements.
What transfers, and what does not?
A learned discrimination is not a universal sensory upgrade
Perceptual-learning research examines when training transfers to different stimuli, tasks or conditions. The degree of specificity is part of the result, not a nuisance to omit. Ear practice may help a particular discrimination without showing that all hearing became more sensitive. 13
Likewise, repeated beat practice can improve a synchronization skill while time estimation or pitch discrimination remains a separate outcome. A better musical-ear result should be described in the terms tested, without converting it into a general intelligence or health claim. 5
The general brain-training distinction also applies here: evidence of improvement on the training activity is weaker than evidence of benefit on an unfamiliar meaningful outcome. None of these games diagnoses hearing loss, a color-vision condition or a timing-related disorder. 14
03 / Try and compare
Try it on Helibrain
Choose the domain you want to explore. Keep hearing detection separate from pitch discrimination, color naming separate from ordering, and interval estimation separate from beat synchronization. Read each activity’s setup and limitations.
For repeat comparisons, record the headphones or speakers, sound level, display and input mode. The focus-sound tool concerns your experience under different sound conditions, not a hearing threshold. Face and social-shape activities below are adjacent interpretation tasks and should remain distinct from basic sensory discrimination.
Tests and games
Tone deaf test
Explore pitch discrimination, rhythm and note knowledge.
Color perception test
Compare a color boundary and nearby-color ordering.
Time perception test
Produce an interval under the activity’s rules.
Emotion recognition test
Match facial expressions to intended labels; an adjacent interpretation task.
Social shapes challenge
Interpret animated social situations; not a basic sensory threshold.
Aphantasia test
Report imagined-picture vividness as a separate self-report.
Tools and practice
Hearing check
Explore sound detection with the setup’s calibration limits.
Rhythm test
Compare tapping and beat timing.
Ear trainer
Practise a chosen auditory discrimination.
Audio practice player
Repeat selected audio material.
Time practice
Explore interval judgments with feedback.
Time estimate trainer
Compare an estimated task duration with elapsed time.
Focus sound test
Compare your experience with sound conditions.
Focus sounds
Choose a sound environment at a comfortable level.
Related answers
Frequently asked questions
Does the musical-ear task diagnose hearing loss?
No. Pitch and rhythm tasks differ from calibrated hearing assessment. The equipment and the specific process being measured must be kept separate. 3
Can I compare color scores from two screens?
The displays may show different physical colors. A clean comparison needs controlled viewing conditions; a browser score does not calibrate the screen. 1
Does tapping before the beat mean predicting the future?
No. Synchronization uses prediction to align movement with a regular sequence. It is different from reaction time to an unpredictable signal. 7
References
Links lead to the original DOI or source record. Research comparisons describe the cited tasks, not a validation of our browser versions.
- Almustanyir et al. (2025). Age-Related Effects on the Color Discrimination Threshold.
- Peretz et al. (2017). Prevalence of congenital amusia.
- Peretz et al. (2003). Varieties of Musical Disorders.
- Petersen & Posner (2012). The Attention System of the Human Brain: 20 Years After.
- Repp et al. (2013). Sensorimotor synchronization: A review of recent research (2006–2012).
- Moore et al. (2014). Relation between Speech-in-Noise Threshold, Hearing Loss and Cognition from 40–69 Years of Age.
- Repp (2005). Sensorimotor synchronization: A review of the tapping literature.
- Anwyl-Irvine et al. (2020). Realistic precision and accuracy of online experiment platforms, web browsers, and devices.
- Desbernats et al. (2023). Which factors modulate spontaneous motor tempo? A systematic review of the literature.
- Lim et al. (2010). A meta-analysis of the impact of short-term sleep deprivation on cognitive variables..
- Shields et al. (2016). The effects of acute stress on core executive functions: A meta-analysis and comparison with cortisol.
- Singh et al. (2025). Effectiveness of exercise for improving cognition, memory and executive function: a systematic umbrella review and meta-meta-analysis.
- Sagi (2010). Perceptual learning in Vision Research.
- Simons et al. (2016). Do “Brain-Training” Programs Work?.