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Fig. 4. | BMC Biology

Fig. 4.

From: Detecting neural assemblies in calcium imaging data

Fig. 4.

Performance as a function of simulation duration, temporal resolution, and calcium indicator half-life Graphing conventions as in Fig. 3. a, b Varying the simulation duration T. With increasing T, the performance of ICA-CS, ICA-MP, SGC and Promax-CS increased and they detected a constant number of assemblies beyond T=1800s. Promax-MP overestimated the total number, and the number detected by FIM-X showed a steep peak, while SVD underestimated the total number. c, d Varying the temporal resolution ΔT. With increasing ΔT, Promax-MP and FIM-X detected a decreasing number of assemblies. They both overestimated the total number, particularly FIM-X at small ΔT. SVD underestimated the total number of assemblies. ICA-CS, ICA-MP, SGC, Promax-CS and CORE detected a constant number of assemblies and ICA-CS, ICA-MP, SGC and Promax-CS also showed good performance. e, f Varying the calcium indicator half-life \(\tau _{\frac {1}{2}}\). With increasing \(\tau _{\frac {1}{2}}\) Promax-MP and FIM-X detected an increasing number of assemblies. ICA-CS, ICA-MP, SGC, Promax-CS, CORE and SVD detected a constant number of assemblies and ICA-CS, ICA-MP, SGC, Promax-CS and CORE showed good performance

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