NEUROCUB >>
SOFTWARE
Who this program is for
• Rehabilitation centers
• Hospitals and post-acute departments
• Post-coma recovery units
• Stroke rehabilitation programs
• Traumatic brain injury (TBI) recovery
• Neurodegenerative condition support programs
• Supervised home-care rehabilitation
These are clinical contexts where patients often begin with basic levels of perception, attention, and recognition — and where consistent daily cognitive load is essential, but clinical resources are limited.
Within Neurocub Software, the system is built around five core pillars:
• Bedside software infrastructure — patient interface, clinician dashboard, and supervised interaction environment
• Structured cognitive therapy engine — progressive exercise frameworks, recovery domains, and session architecture
• Adaptive engagement system — real‑time adjustment of difficulty, pacing, and task selection per patient
• Clinical performance metrics — attention, reaction, recognition, memory, task stability, and engagement dynamics
• Workflow integration layer — alignment with existing rehabilitation workflows, documentation, and staff routines
Neurocub Software is designed to deliver continuous, supervised bedside cognitive therapy while maintaining clinical control, consistency, and objective session data.
What clinics receive with Neurocub Software
Clinics using Neurocub Software receive not a standalone application, but a fully structured clinical software system for cognitive rehabilitation.
This includes:
• A ready‑to‑deploy bedside software environment for clinical or supervised home use
• An adaptive cognitive therapy system tailored to neurological recovery
• Objective patient analytics and recovery‑dynamics dashboards
• Tools for observing engagement, progress, fatigue, and regression patterns
• Reduction of routine cognitive workload for therapists and nursing staff
• A structured data layer for clinical observation and decision‑making
Neurocub Software is designed to function as a parallel cognitive environment that operates continuously alongside clinical teams — supporting daily stimulation, tracking subtle changes, and enabling long‑term recovery trajectories.
Core purpose of deployment
Neurocub Software exists to provide what is largely missing in rehabilitation practice today:
A continuously operating, software‑driven cognitive therapy system that:
• Runs daily, not episodically
• Adapts dynamically, not manually
• Measures objectively, not subjectively
• Supports clinical staff, not replaces them
• Creates structured cognitive recovery data where it is otherwise fragmented or absent
This software framework allows Neurocub to remain clinically grounded while scaling daily bedside cognitive therapy through software.
Neurocub It is a multi-layered therapeutic system designed to continuously interact with the patient, analyze neurological responses in real time, and dynamically build an adaptive cognitive recovery pathway.
Neurocub Therapy Architecture & Patient Interaction Model.
The software and hardware interaction environment. It includes Neurocub Software interfaces, visual modules, touch input, audio, voice control, and future extensions such as gaze tracking and emotional response analysis. This layer is responsible for delivering digital stimuli and capturing every form of user response.
A structured content and logic system of Neurocub Software. It consists of interactive cards, visual objects, scenarios, recognition tasks, memory blocks, and attention modules. The content is not random — each element is classified by load type, processing logic, and difficulty level.
The analytical core of Neurocub Software. The system processes user responses in real time: speed, accuracy, pauses, repetitions, behavioral patterns, and response stability. Each action is converted into a structured digital metric.
A dynamic adaptive engine. It adjusts system parameters in real time: complexity, pacing, repetition, sensory load, logic depth, and task type. Instead of static scenarios, the user receives a continuously evolving interaction model.
An engagement and attention retention system. Responsible for positive reinforcement, progress visualization, micro-achievements, pacing control, and overload prevention. The goal is to maintain active interaction without loss of stability or interest.
The analytics and control interface. Here, specialists and administrators access structured data: activity dynamics, response stability, progress curves, behavioral patterns, and alerts. Neurocub Software transforms user sessions into a measurable and controllable data system.
NEUROCUB SOFTWARE V.2.0
How the user works with the system
The Neurocub Software interaction cycle
Each Neurocub Software session follows a unified processing logic.
This enables scenario standardization while preserving deep adaptive personalization.
1. Session initialization
A session begins with the selection of a starting mode.
This can be:
• A predefined scenario
• An automatically generated mode based on accumulated data
• A continuation of the previous system state
At this stage, initial parameters are set: load level, intensity, task type, and interaction format.
2. Card or task presentation
The system displays a digital stimulus:
• Visual cards
• Object logic associations
• Color, shape, or symbol-based tasks
• Memory and sequence blocks
• Attention and reaction exercises
Each element functions both as an interface and as an analytical instrument.
3. User response capture
Neurocub Software registers multiple layers of response, including:
• Touch interaction
• Selection and navigation behavior
• Voice input attempts
• Reaction time
• Repetition and pause patterns
• Engagement continuity
Future versions may include gaze tracking and micro-expression analysis.
The system captures not only the result, but also how the response was formed.
4. Real-time AI processing
During interaction, the system analyzes the process continuously.
It evaluates:
• Load tolerance level
• Attention stability
• Reaction latency
• Error structure and patterns
• Behavioral consistency
• Micro-signals of fatigue or recovery
Analysis occurs without interrupting the session.
5. Adaptive next-step generation
Based on live analytics, Neurocub Software:
• Simplifies or increases task complexity
• Adjusts pacing
• Shifts logical focus
• Introduces recovery intervals
• Regulates sensory intensity
This keeps the system within the optimal digital stimulation zone.
6. Micro-state evaluation
Throughout the session, short analytical snapshots are generated:
• Response stability
• Engagement depth
• Reaction coherence
• Progress or efficiency drop signals
This prevents blind or static interaction scenarios.
7. User model update
At the end of the cycle, the system updates the internal user profile.
The profile reflects:
• Active functional domains
• Response dynamics
• Load thresholds
• Adaptation velocity
• Potential risk markers
• Engagement sustainability
This model becomes the foundation for all future sessions.
Why Neurocub Software architecture matters clinically
Neurocub Software is designed as a closed‑loop clinical cognitive therapy system.
Its software architecture enables clinical capabilities that traditional rehabilitation tools cannot provide:
• Continuous daily cognitive therapy instead of episodic sessions
• Objective performance dynamics instead of subjective impressions
• Adaptive therapy pathways instead of fixed cognitive programs
• Structured cognitive datasets instead of fragmented observations
Within Neurocub Software, each session simultaneously fulfills three clinical functions:
• Cognitive therapy delivery
• Objective performance measurement
• Adaptive model refinement
This architecture allows Neurocub Software to operate as a continuously running clinical cognitive environment rather than a supplemental tool.
Example: Bedside Cognitive Session in Neurocub Software
This example demonstrates a real bedside cognitive therapy session delivered entirely through Neurocub Software. The software operates directly at the patient’s bedside, providing a stable and accessible interface for structured cognitive interaction without requiring patient mobility. During the session, Neurocub Software delivers adaptive visual and cognitive tasks while continuously analyzing patient responses. Reaction dynamics, attention stability, engagement continuity, and fatigue signals are processed in real time, updating the patient’s cognitive profile throughout the session. Sessions are designed for daily repetition in post‑acute, post‑coma, and limited‑mobility rehabilitation contexts. The clinical objective is to transform passive bedside time into structured cognitive therapy while reducing routine cognitive workload for clinical staff.
Neurocub Software Mini‑Session >>
Core Cognitive Therapy Engine
I. Session Initialization
Neurocub Software forms a safe clinical starting context using prior session history, the current patient cognitive profile, therapist‑defined parameters, and built‑in safety baselines.
II. First Task Selection
The first task is selected for calibration — low difficulty, emotionally neutral content, and high probability of successful interaction.
III. Patient Interaction Event
Every interaction is treated as a measurable cognitive event. Neurocub Software captures correctness, reaction time, response dynamics, pauses, micro‑corrections, fatigue signals, and engagement markers.
IV. Real‑Time Analysis
A real‑time analysis pipeline processes behavioral signals, cognitive indicators, emotional markers, and overload risk patterns to form a momentary cognitive state.
V. Dynamic Patient Model Update
The multidimensional patient model evolves continuously, reflecting attention stability, learning gradient, processing speed, fatigue accumulation, and engagement continuity.
VI. Therapy Decision Layer
Neurocub Software makes a therapeutic decision — adjusting complexity, pacing, domain focus, or introducing stabilization — based on clinical optimization logic.
VII. Next Task Generation
Tasks are selected not by similarity, but by clinical optimality for the patient’s current cognitive state.
VIII. Continuous Closed Loop
interaction → analysis → profile update → therapy decision → next task
IX. Session Consolidation
Each session is consolidated into a structured clinical data unit, generating objective insights and preparing data for the clinician dashboard.
What makes Neurocub Software fundamentally different
• A task is a measurement instrument
• A response is a neurocognitive process
• A profile is a living patient model
• Task selection is a therapeutic decision
Neurocub Software — Session Report Core Blocks
Clinical context of the session: duration, completed tasks, therapy mode, and active cognitive domains.
Attention stability, engagement continuity, and fatigue emergence throughout the session.
Changes in processing speed, error structure, decision confidence, and learning patterns.
Updated multidimensional cognitive profile generated by Neurocub Software.
AI‑generated clinical interpretation and structured recommendations for the next session.
Clinical Value & Software Deployment
Clinical Deployment. Scaling bedside cognitive therapy through software.
Neurocub Software is deployed as a continuously operating bedside cognitive therapy system. It integrates into clinical workflows, supports daily supervised therapy, and generates consistent objective recovery data without increasing staff workload.
The platform is designed to scale across departments and care environments while maintaining clinical control, consistency, and measurable outcomes.
