Get Benchmark Dataset Summary

Provides a detailed summary of a specific benchmark dataset including dimensions, experimental design, and ground truth information.

Usage

get_benchmark_summary(dataset_name)

Arguments

dataset_name

Character string specifying which dataset to summarize

Value

A list with summary information about the dataset

Examples

# Get summary of a specific dataset
summary_info <- get_benchmark_summary("BM_Canonical_HighSNR")
print(summary_info)
#> $description
#> [1] "Canonical HRF (SPMG1), high SNR, 3 conditions, fixed amplitudes per condition"
#> 
#> $dimensions
#> $dimensions$n_timepoints
#> [1] 150
#> 
#> $dimensions$n_voxels
#> [1] 100
#> 
#> $dimensions$n_events
#> [1] 45
#> 
#> $dimensions$n_conditions
#> [1] 3
#> 
#> 
#> $experimental_design
#> $experimental_design$conditions
#> [1] "Cond1" "Cond2" "Cond3"
#> 
#> $experimental_design$events_per_condition
#> $experimental_design$events_per_condition$Cond1
#> [1] 15
#> 
#> $experimental_design$events_per_condition$Cond2
#> [1] 15
#> 
#> $experimental_design$events_per_condition$Cond3
#> [1] 15
#> 
#> 
#> $experimental_design$TR
#> [1] 2
#> 
#> $experimental_design$total_time
#> [1] 300
#> 
#> $experimental_design$target_snr
#> [1] 4
#> 
#> 
#> $hrf_information
#> $hrf_information$type
#> [1] "SPMG1"
#> 
#> $hrf_information$hrf_object_name
#> [1] "HRF_SPMG1"
#> 
#> $hrf_information$hrf_object
#> -- HRF: SPMG1 --------------------------------------------- 
#>    Basis functions: 1 
#>    Span: 24 s
#>    Parameters: P1 = 5, P2 = 15, A1 = 0.0833 
#> 
#> 
#> $noise_information
#> $noise_information$noise_type
#> [1] "ar1"
#> 
#> $noise_information$noise_ar
#> [1] 0.4
#> 
#> $noise_information$noise_sd
#> [1] 0.5217219
#> 
#>