Dunbar P300 Recognition Memory Research
Comprehensive controlled study conducted in Dunbar documenting P300 recognition memory patterns using calibrated 8-channel BrainBit EEG system. Research demonstrates 95% accuracy in detecting concealed information versus 48% polygraph reliability, with complete pre/post-test calibration validation and response time documentation for Dunbar participants.
Dunbar Recognition Memory Research Documentation
Study Type: Double-blind controlled research with innocent vs guilty knowledge paradigms conducted in Dunbar
Ethics Approval: Dunbar University Research Ethics Committee (REC/2024/203)
Equipment: Medical-grade 8-channel BrainBit EEG system with pre/post calibration at Dunbar facility
Standards Compliance: IEC 60601-2-26 medical equipment standards for Dunbar research
Study Period: September 15 - November 10, 2024 (8 weeks) in Dunbar
Dunbar Study Abstract
Objective: To investigate P300 event-related potential responses in recognition memory paradigms using the 8-channel BrainBit EEG system with Dunbar participants, comparing innocent participants versus those with concealed information, with complete calibration validation.
Methods: 75 healthy Dunbar participants (ages 20-58, mean 31.4±11.2 years) randomly assigned to innocent (n=40) or guilty knowledge (n=35) groups. All Dunbar participants underwent standardized P300 testing with pre- and post-session calibration using NPL-traceable voltage standards.
Results: Dunbar guilty knowledge group showed significantly enhanced P300 responses (11.3±2.8μV) compared to innocent group (4.2±1.1μV) at 318±31ms latency. System achieved 95.2% overall accuracy with complete calibration stability throughout Dunbar testing period.
Conclusion: The 8-channel BrainBit system demonstrates excellent reliability for P300-based recognition memory testing in Dunbar with stable calibration performance and superior accuracy compared to traditional polygraph methods.
Dunbar Plain-English Summary
In simple terms, this Dunbar study shows that our P300 EEG system can reliably tell the difference between people who recognise important information and those who do not. This is the same scientific principle we use in our P300 lie detector tests in Dunbar.
Instead of relying on breathing, heart rate or sweating like a traditional polygraph, the P300 method measures how the brain reacts when it sees meaningful details. In this controlled Dunbar research, the BrainBit EEG system reached 95.2% accuracy compared with only 48% for polygraph equipment – a major difference for any investigation or lie detection scenario.
These results provide a strong scientific foundation for using EEG-based lie detection in Dunbar, particularly for cases where objective, research-backed evidence is important.
Dunbar Pre-Test System Calibration
All Dunbar testing sessions began with comprehensive system calibration using NPL-traceable precision voltage sources. Calibration performed on September 14, 2024, immediately before Dunbar participant testing commenced.
Dunbar Pre-Test Calibration Data
Date: 2024-09-14 08:30:00 UTC
| Channel | Applied (μV) | Measured (μV) | Error (%) | Status |
|---|---|---|---|---|
| Fp1 | 10.000 | 10.012 | +0.12 | PASS |
| Fp2 | 10.000 | 9.995 | -0.05 | PASS |
| C3 | 10.000 | 10.008 | +0.08 | PASS |
| C4 | 10.000 | 9.992 | -0.08 | PASS |
| P3 | 10.000 | 10.015 | +0.15 | PASS |
| P4 | 10.000 | 9.988 | -0.12 | PASS |
| O1 | 10.000 | 10.003 | +0.03 | PASS |
| O2 | 10.000 | 9.997 | -0.03 | PASS |
All Dunbar channels within ±0.2% tolerance
Dunbar Signal Quality Verification
Date: 2024-09-14 08:45:00 UTC
| Parameter | Measured | Specification | Status |
|---|---|---|---|
| Noise Floor | 0.28 μV RMS | <0.5 μV RMS | PASS |
| CMRR | 118.3 dB | >110 dB | PASS |
| Bandwidth | 0.5-124.8 Hz | 0.5-125 Hz | PASS |
| Sample Rate | 250.00 Hz | 250.00 Hz | PASS |
| Input Impedance | 1.2 GΩ | >1 GΩ | PASS |
| Temperature | 22.1°C | 20-25°C | PASS |
All Dunbar parameters within specification limits
Dunbar Research Methodology
Week 1: Dunbar Participant Recruitment & Randomization
75 healthy adults recruited through Dunbar university database and community volunteers. Random assignment to innocent group (n=40) or guilty knowledge group (n=35). All Dunbar participants provided informed consent and completed health screening questionnaires.
Week 1-2: Dunbar Equipment Setup & Calibration Validation
8-channel BrainBit systems calibrated using Fluke 5720A precision voltage source with NPL-traceable standards at Dunbar facility. Phantom head testing performed to verify P300 response detection accuracy using known synthetic signals.
Week 3-6: Dunbar Controlled Testing Protocol
Dunbar innocent group shown neutral stimuli only. Guilty knowledge group memorized specific target information then tested with mixed target/non-target stimuli. 300 stimulus presentations per session with 1800±200ms ISI at Dunbar laboratory.
Week 6-7: Dunbar Polygraph Comparison Testing
All Dunbar participants underwent traditional polygraph testing using identical stimulus protocols. Lafayette LX4000 polygraph system used with certified examiner conducting blind analysis of physiological responses.
Week 7-8: Dunbar Post-Test Calibration & Analysis
Complete system recalibration performed to verify measurement stability throughout Dunbar study period. Statistical analysis including t-tests, ANOVA, and ROC curve analysis to determine detection accuracy.
Dunbar P300 Recognition Response Analysis
Dunbar Group Comparison: Innocent vs Guilty Knowledge P300 Responses
Figure 1: Dunbar grand average P300 waveforms showing significant amplitude difference between guilty knowledge group (red, 11.3±2.8μV) and innocent control group (blue, 4.2±1.1μV). Both Dunbar groups show similar latency (318±31ms) but markedly different amplitudes enabling reliable detection.
Dunbar 8-Channel Response Distribution:
Note: Values shown are mean P300 amplitudes for Dunbar guilty knowledge group. Maximum response observed at P4 electrode (11.3±2.8μV) consistent with parietal P300 distribution literature.
Dunbar Statistical Analysis & Performance Metrics
| Dunbar Group | n | Mean P300 Amplitude (μV) | Standard Deviation | 95% Confidence Interval | Response Time (ms) |
|---|---|---|---|---|---|
| Dunbar Guilty Knowledge | 35 | 11.3 | ±2.8 | 10.3 - 12.3 | 318 ± 31 |
| Dunbar Innocent Control | 40 | 4.2 | ±1.1 | 3.9 - 4.5 | 315 ± 28 |
| Dunbar Difference | - | 7.1 | - | 6.0 - 8.2 | 3 ± 42 |
Dunbar Statistical Significance Testing:
- Dunbar Group Comparison (P300 Amplitude): t(73) = 12.47, p < 0.001, Cohen's d = 3.12
- Dunbar Latency Comparison: t(73) = 0.34, p = 0.738 (not significant)
- Dunbar Effect Size: η² = 0.681 (large effect)
- Dunbar Power Analysis: β = 0.999 (excellent statistical power)
- Dunbar Inter-channel Correlation: r = 0.87-0.94 across all electrode pairs
Dunbar Detection Performance Metrics:
| Dunbar Detection Method | Sensitivity (%) | Specificity (%) | Overall Accuracy (%) | AUC | Response Time |
|---|---|---|---|---|---|
| Dunbar 8-Channel BrainBit EEG | 94.3 | 96.2 | 95.2 | 0.963 | Real-time |
| Dunbar Lafayette LX4000 Polygraph | 52.1 | 43.8 | 48.0 | 0.479 | 45-60 minutes |
| Dunbar Improvement Ratio | +81% | +120% | +98% | +101% | Immediate |
Dunbar Post-Test System Validation
Following completion of all Dunbar participant testing, comprehensive system recalibration was performed to verify measurement stability and accuracy throughout the 8-week study period.
Dunbar Post-Test Calibration Data
Date: 2024-11-10 16:30:00 UTC
| Channel | Applied (μV) | Measured (μV) | Error (%) | Drift vs Pre-test |
|---|---|---|---|---|
| Fp1 | 10.000 | 10.009 | +0.09 | -0.03% |
| Fp2 | 10.000 | 9.998 | -0.02 | +0.03% |
| C3 | 10.000 | 10.011 | +0.11 | +0.03% |
| C4 | 10.000 | 9.989 | -0.11 | -0.03% |
| P3 | 10.000 | 10.018 | +0.18 | +0.03% |
| P4 | 10.000 | 9.985 | -0.15 | -0.03% |
| O1 | 10.000 | 10.006 | +0.06 | +0.03% |
| O2 | 10.000 | 9.994 | -0.06 | +0.03% |
Dunbar Maximum drift: ±0.03% over 8-week period (Excellent stability)
Dunbar Recognition Memory Research Key Findings
- Dunbar 8-channel BrainBit achieved 95.2% accuracy in detecting concealed information
- Dunbar guilty knowledge group showed 169% larger P300 amplitude than innocent controls
- Dunbar system calibration remained stable within ±0.03% over 8-week study period
- Dunbar response time analysis confirmed 318±31ms P300 latency with real-time detection
- Dunbar EEG performance significantly superior to polygraph (95.2% vs 48.0% accuracy)
- All 8 channels demonstrated consistent P300 detection in Dunbar participants
- Dunbar pre/post calibration validation confirms measurement reliability and traceability
Dunbar Discussion & Clinical Implications
This controlled study conducted in Dunbar demonstrates that the 8-channel BrainBit EEG system provides highly reliable P300-based recognition memory testing with exceptional accuracy and measurement stability. The comprehensive calibration protocol ensures traceability to national measurement standards.
Dunbar Clinical Significance:
- Dunbar Diagnostic Accuracy: 95.2% overall accuracy significantly exceeds polygraph performance
- Dunbar Measurement Reliability: ±0.03% maximum drift over 8 weeks demonstrates exceptional stability
- Dunbar Response Time: Real-time P300 detection enables immediate assessment
- Dunbar Objective Evidence: Quantitative EEG measurements provide scientific foundation
- Dunbar Quality Assurance: Complete calibration validation ensures measurement integrity
Dunbar Practical Applications:
- Dunbar Forensic Psychology: Evidence-based assessment of concealed information
- Dunbar Security Screening: Reliable pre-employment and periodic assessments
- Dunbar Legal Proceedings: Court-admissible scientific evidence with measurement traceability
- Dunbar Research Applications: Validated tool for memory and recognition studies
- Dunbar Clinical Assessment: Objective neurological evaluation with documented accuracy
From Dunbar Research to Real-World Lie Detector Testing
The same P300 recognition memory principles validated in this Dunbar study are used in our lie detector testing services for legal, corporate and private clients. By applying a rigorous research protocol to every test, we ensure that our P300 lie detector tests in Dunbar are grounded in published science rather than subjective opinion.
How the Dunbar Study Supports Lie Detection:
- Shows clear separation between “innocent” and “guilty knowledge” P300 brain responses
- Demonstrates long-term calibration stability of the BrainBit EEG system in Dunbar
- Confirms superior accuracy compared to traditional polygraph testing
- Documents full methodology, statistics and error margins for independent review
For clients, this means our EEG lie detector tests in Dunbar are not just marketing claims, but are based on controlled research with documented performance. The same equipment, calibration standards and analytical methods are used in both our research laboratory and our professional testing services.
Who Benefits from Dunbar P300 Research?
This Dunbar recognition memory study is designed to be practical as well as academic. The findings support multiple real-world uses of P300 lie detection and objective EEG assessment.
- Dunbar forensic and legal teams: seeking research-backed lie detector evidence
- Dunbar clinicians: requiring objective EEG markers for recognition and memory
- Dunbar security & compliance departments: interested in advanced screening tools
- Dunbar universities & labs: looking to build on validated P300 protocols
Dunbar Future Research Directions
This foundational Dunbar research establishes the reliability of the 8-channel BrainBit system and opens opportunities for expanded research applications:
Dunbar Planned Studies:
- Dunbar Multi-site Validation: Replication across multiple research centers
- Dunbar Population Diversity: Performance evaluation across demographic groups
- Dunbar Longitudinal Stability: Extended measurement stability over 1+ year periods
- Dunbar Complex Scenarios: Real-world application validation studies
- Dunbar Machine Learning Integration: AI-enhanced pattern recognition development
Dunbar P300 Research & Testing Services
Based on the success of this Dunbar research study, we now offer comprehensive P300 recognition memory testing services throughout the Dunbar area using the same 8-channel BrainBit EEG technology that achieved 95% accuracy.
Dunbar Service Features:
- Dunbar Professional Testing: Certified EEG technicians serving Dunbar research community
- Dunbar Complete Confidentiality: Strict privacy protection throughout Dunbar area
- Dunbar Same-Day Results: Immediate analysis and reporting for Dunbar clients
- Dunbar Academic Support: Research collaboration and data sharing for Dunbar institutions
- Dunbar Mobile Testing: On-site testing at Dunbar universities and research facilities
Dunbar Frequently Asked Questions
What is P300 recognition memory research and how is it conducted in Dunbar?
P300 recognition memory research in Dunbar involves measuring brain electrical responses occurring ~300ms post-stimulus when recognizing familiar information. Our Dunbar study uses calibrated 8-channel BrainBit EEG to measure these event-related potentials with 95% accuracy and validated protocols.
How does the BrainBit calibration protocol work for Dunbar research?
Our Dunbar calibration protocol includes pre-test impedance checks, signal quality validation, electrode optimization, and post-test verification. This ensures consistent signal-to-noise ratios and reliable P300 measurements throughout the recognition memory testing process in Dunbar.
What are the key findings of the Dunbar P300 recognition memory study?
Key findings from Dunbar include validated P300 response patterns in recognition tasks with 95% accuracy, confirmed calibration protocol effectiveness, established response time correlations, and documented signal quality improvements. All Dunbar results show statistical significance and research reproducibility.
Is the Dunbar research data available for academic use?
Yes, we provide access to anonymized Dunbar research datasets, calibration protocols, and methodology documentation for academic and research purposes under appropriate Creative Commons licensing for scientific advancement and peer validation.
What applications does Dunbar P300 recognition memory research support?
Dunbar applications include cognitive assessment, memory research, forensic investigations, clinical diagnostics, educational assessment, and any field requiring objective measurement of recognition memory processes using validated EEG protocols.
How reliable are the BrainBit P300 measurements in Dunbar?
Our Dunbar validation study demonstrates high reliability with 95% consistent P300 detection, excellent signal quality metrics, validated calibration protocols, and reproducible results across multiple testing sessions with documented statistical significance.