Retention Accuracy from Fragmented Traces (RAFT) Simulation


Drag mouse over parameter for its description


Encoding: Retention: Retrieval:
Participants (N) Overall Time Points (t) Retrieval Component Threshold (ϴ)
Memory Traces (m) LTM Consolidation (f) ± Inferences Are Useful?
Trace Learning Probability (L) LTM-LLM Transcription (F) ± Quick Settings:
Environmental Components (C) LTM Component Forget (λ) ± Linear:    
Component Learning Probability (l) LLM Component Forget (Ʌ) ± Experiment 1:  
Potential Inference Components (c): Consolidation Time Points (u) ± Experiment 2:  
Inference Formation (p) ± Component Forgetting Experiment 3:            

Overall Pattern (averaged across participants, traces, and components)
R-Square Fitting (linear, power, exponential)
Lin Pow Exp Lin Pow Exp
Traces (LTM & LLM) Consolidation
(phase 1) (phase 1)
(phase 2) (phase 2)
Traces (LTM only) LTM Components
(phase 1) (phase 1)
(phase 2) (phase 2)
Traces (LLM 0nly) LLM Components
(phase 1) (phase 1)
(phase 2) (phase 2)

Participant Trace Patterns (averaged across traces, and components)


This simulation was created by Jerry Scott Fisher under the guidance of G.A. Radvansky

Special Thanks to Daniel Hochee for hooking up the Flot graphing software

Please click this link for a description of the simulation





























































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