In alphabetical order here is what the routines are doing: analogToUnitCoded: - helper function for coding a 1-dim analog signal into a unit-coded signal (aka "local coding") compute_NRMSE: - computes the normalized mean squared error of the esn, given the output of the esn and the actual teacher. compute_statematrix: - runs the input through the ESN. The reservoir (plus input) states of the units are collected in matrix which is returned by the function

ESN_Toolbox
...........\.DS_Store
__MACOSX
........\ESN_Toolbox
........\...........\._.DS_Store
ESN_Toolbox\analogToUnitCoded.m
...........\compute_error.m
...........\compute_NRMSE.m
...........\compute_statematrix.m
...........\compute_teacher.m
...........\demoScript.m
__MACOSX\ESN_Toolbox\._demoScript.m
ESN_Toolbox\DOCUMENTATION.txt
...........\ESNtools.zip
...........\generate_esn.m
__MACOSX\ESN_Toolbox\._generate_esn.m
ESN_Toolbox\generate_internal_weights.m
...........\generate_NARMA_sequence.m
...........\HISTORY.txt
...........\identity.m
...........\leaky1_esn.m
...........\leaky_esn.m
...........\load_esn.m
...........\makeTimeConstantsFromRange.m
...........\myeigs.m
...........\normalizeData01.m
...........\normalizeData_min0.m
...........\plain_esn.m
...........\plot_outputWeights.m
...........\plot_sequence.m
...........\plot_states.m
__MACOSX\ESN_Toolbox\._plot_states.m
ESN_Toolbox\pseudoinverse.m
...........\save_esn.m
...........\scaleshiftData.m
...........\shiftData.m
...........\sigmoid01.m
...........\sigmoid01_inv.m
...........\split_train_test.m
...........\test_esn.m
...........\train_esn.m
__MACOSX\ESN_Toolbox\._train_esn.m
ESN_Toolbox\twi_esn.m
...........\unitCodedToAnalog.m
...........\wiener_hopf.m
...........\WS_FTP.LOG

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