Software 1 For early detection
Eight short games. One human check-in.
Brain Games turns eight cognitive activities into short, approachable sessions with a clear way to play.
Game 1 Symbol Pairs
Game 2 Memory Match
Game 3 Market Memory
Game 4 Object Grid
Game 5 Orchard Switch
Game 6 Cashier Challenge
Game 7 Color-Word Clash
Game 8 Pixel Supermarket
How the eight Brain Games work
Brain Games For early detection
1 of 8
2 of 8
3 of 8
4 of 8
5 of 8
6 of 8
7 of 8
8 of 8
Find the exact pair.
Three target pairs stay at the top. Choose the exact match from two options across 12 trials.
Which pair matches?
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Remember, flip, match.
Preview 12 cards, find six pairs, then answer one gentle everyday question after each match.
Link each item to its price.
Learn 10 item-price pairs, then pick the price you saw from two choices.
🍎 Apple $2.40
Which price was shown?
$3.20 $2.40
Put three objects back.
Remember a key, phone and pen on a 5 by 5 grid, complete a letter task, then place them back.
Change when the rule changes.
Tap only the requested apple. When the rule changes, change your response too.
Current rule Tap good apples
Rule changed
Keep a running total.
Complete two guided examples, then carry one total through 10 addition and subtraction steps.
Current total $18
$18 + $7 = ?
$23 $25 $27
Read the rule, not your habit.
Choose by ink color or word meaning. The timer pauses before the rule changes.
Choose the ink color
BLUE
Red Blue Green
Remember the list, then shop.
Remember products, quantities and a four-digit date, find the shelves, then complete checkout.
Shopping list 2 apples 1 bread 0816
🍎 🥛 🍞 🍊
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Gentle Game 1 / Processing speed / 1-2 min Symbol Pairs Find the exact match. → Play
Gentle Game 2 / Memory / 5-8 min Memory Match Remember every pair. → Play
Moderate Game 3 / Memory / 1-2 min Market Memory Link each item to its price. → Play
Moderate Game 4 / Working memory / 1-2 min Object Grid Restore three places. → Play
Challenging Game 5 / Inhibitory control / 1-2 min Orchard Switch Follow the current rule. → Play
Challenging Game 6 / Arithmetic / 1-2 min Cashier Challenge Carry the total. → Play
Challenging Game 7 / Inhibitory control / 1-2 min Color-Word Clash Choose color or meaning. → Play
Challenging Game 8 / Memory / 1-2 min Pixel Supermarket Remember, shop, check out. → Play
Gentle Game 1 / Processing speed / 1-2 min Symbol Pairs Find the exact match. → Play
Gentle Game 2 / Memory / 5-8 min Memory Match Remember every pair. → Play
Moderate Game 3 / Memory / 1-2 min Market Memory Link each item to its price. → Play
Moderate Game 4 / Working memory / 1-2 min Object Grid Restore three places. → Play
Challenging Game 5 / Inhibitory control / 1-2 min Orchard Switch Follow the current rule. → Play
Challenging Game 6 / Arithmetic / 1-2 min Cashier Challenge Carry the total. → Play
Challenging Game 7 / Inhibitory control / 1-2 min Color-Word Clash Choose color or meaning. → Play
Challenging Game 8 / Memory / 1-2 min Pixel Supermarket Remember, shop, check out. → Play
Notice a change Understand it Support the person
A signal should lead to a next step.
When cognitive monitoring flags potential signs of mild cognitive impairment (MCI), our intended pathway goes beyond a score: it guides the user toward professional assessment and NeuroBloom, our care companion.
This is the proposed connection between our two tools. The Wiki games do not diagnose MCI or automatically refer a user.
From awareness to everyday care ↓
01
The same starting point. A more personal response.
A model learns from the gap between its prediction and an individual's observations. Explore what that learning means.
Observe the difference.
Compare an initial prediction with new observations from one person.
Prediction → observation → loss
Let the error teach.
Backpropagation uses the loss gradient to update the model’s parameters.
Loss → gradient → parameter update
Review the next step.
A closer fit informs the doctor’s review. Limited evidence can mean keeping the same setting.
Read our modelling decisions ↗
Learning from one person Concept demo
A model prediction moves closer to synthetic observations
Use the learning steps below to compare the initial and fitted model. All values are dimensionless examples.
Response (relative) Input (relative)
Observation Model Initial fit
Observe
Backpropagate
Refit
Predict → Loss → Update θ
Synthetic observations; illustrative gradient learning. The current app uses a conservative linear fit, not a backpropagation model.
01 · A personal response
A plan can evolve with the person. Scroll to follow the plan from Day 1 to Day 30.
Day 1 Day 30
Day 1 · Starting plan 1.0 × baseline
Initial setting, awaiting individual observations.
Illustrative relative settings, not patient results or a dosing recommendation. Day 30 represents a reviewed example, not an automatic adjustment.
02 Less to remember. More room for living. A familiar schedule, an obvious next action and help within reach. Try the calendar action on the phone.
One clear action. Medication and body checks each have a calendar shortcut.
Comfortably readable. Large labels and generous touch targets reduce the effort of finding the next step.
Help stays close. The Guide walks through today's care, the schedule and navigation.
9:41 5G
NeuroBloom Loading the Flutter app…
Calendar preview Close
+ Medication
Time 08:00 – 08:15
Repeat Every day
Reminder 10 minutes before
The app opens your system calendar with these details ready to review.
Save example Interactive preview. Your calendar is unchanged.
↗ Your routine. Your calendar. Tap Medication or Body check to see the handoff.
Try again ↺
Live Flutter app · Synthetic care record · Calendar actions stay in this preview. How this demo works ↗
03 One care plan. Everyone in the loop. Dr. Lee, Alex and Sam are already linked. Send a plan, then confirm as Alex and watch Sam receive the update.
✈
Doctor Review & coordinate
Care plan updated The shared example has changed. ×
9:41 5G
NeuroBloom Loading the Flutter app…
Patient Follow the daily plan
Care plan updated The shared example has changed. × Confirm as Alex
9:41 5G
NeuroBloom Loading the Flutter app…
Family Stay informed
Care plan updated The shared example has changed. ×
9:41 5G
NeuroBloom Loading the Flutter app…
Shared synthetic record. Example CFU values are not dosing advice. How this demo works ↗
Reviewed plan → App → Connected pillbox
The next chapter is physical. Follow the care plan from the app to our connected pillbox. Explore the mechanism, assembly and control system.
Explore the hardware ↗
A Bluetooth acknowledgement confirms a setting was received. Physical dispensing requires validated actuator and sensor support.
Behind the experience NeuroBloom is a prototype decision-support companion. These demonstrations explain the design; they do not establish clinical effectiveness.
What is implemented, and what is illustrated? The actual NeuroBloom Flutter widgets run here with a shared synthetic record. Use the app navigation and scroll inside each phone. Calendar and Bluetooth operations use local demonstration adapters. Usability outcomes have not yet been established.
These are live Flutter views of the app, sharing one synthetic record inside this page. The two controls above the phones call the same care-controller actions as the app. The flight visualizes a shared update, not live push messaging. Example CFU values are not dosing recommendations; no real accounts, calendars or pillboxes are accessed.
Implemented in app source Role-specific care views, schedule calendar export, guided help, patient-approved access, conservative parameter fitting and acknowledged Bluetooth settings.
Illustrated on this page The detection-to-care handoff, backpropagation, Day 1/Day 30 settings and flying notifications. These use synthetic examples. Newer care-access and model work is present in source; deployment is a separate step.
Explore the technical work Brain Games source ↗ · Modelling · Hardware
The care demonstrations follow NeuroBloom's home dashboard, calendar exporter, care-controller permissions and compute worker. No clinical results are presented.
JavaScript enables the model, calendar and shared-care demonstrations. The chapter explanations remain readable; enable JavaScript to operate the Flutter app.