Initial network setup
All 4 instances share the same initial W and Win matrices
Estimators setup
Transfer entropy
Active information storage
TE matrix
Measures
Reservoir TE distribution
AIS
Reservoir embedding MC, MG, NARMA, Lorenz
Initial network setup
Memory capacity task
Parameters with max counts
NARMA
Parameters with max counts
Mackey – Glass
Parameters with max counts
Lorenz
Parameters with max counts
41: Reservoir TE without significance testing & NARMA prediction task
Initial network setup
All 4 instances share the same initial W and Win matrices
Estimators setup
Transfer entropy
Active information storage
TE matrix
Significance test for differences in mean square error (MSE) using Wilcoxon signed-rank test
Reservoir TE distribution
AIS
Source files:
NARMATEsigNumba.py
NARMATEnormalizedSigNumba.py
NARMATEOGSigNumba_n.py
NARMATEONSigNumba_n.py
40: Reservoir TE without significance testing & Memory capacity task
Initial network setup
All 4 instances share the same initial W and Win matrices
Estimators setup
Transfer entropy
Active information storage
TE matrix
Measures
Reservoir TE distribution
AIS
Source files:
TEMCsigNumba_n.py
TEMCnormalizedSigNumba_n.py
TEMCOGSigNumba_n.py
TEMCONSigNumba_n.py
39: Reservoir TE with significance testing & NARMA prediction task
Initial network setup
Estimators setup
Significance test for differences in mean square error (MSE) using Wilcoxon signed-rank test
Reservoir TE distribution
AIS
Source files:
NARMATEsigNumba.py
NARMATEnormalizedSigNumba.py
NARMATEOGSigNumba_n.py
NARMATEONSigNumba_n.py
38: Reservoir TE with significance testing & Memory capacity task
Initial network setup
Estimators setup
Reservoir TE distribution
AIS
Source files:
TEMCsigNumba_n.py
TEMCnormalizedSigNumba_n.py
TEMCOGSigNumba_n.py
TEMCONSigNumba_n.py
Reservoir embedding examination continued
Unscaled reservoir
Initial network setup
Scaled reservoir
Initial network setup
OG reservoir
Initial network setup
ON reservoir
Initial network setup
Source files:
embeddingLorenz_n.py
embeddingMC_n.py
embeddingMG_n.py
embeddingNARMA_n.py
36: Reservoir TE with significance testing & Lorenz system task
Estimators setup
Significance test for differences in mean square error (MSE) using Wilcoxon signed-rank test
Reservoir TE distribution
AIS
Zdrojaky:
LorenzTEsig.py
LorenzTEnormalizedSig.py
LorenzTEOGSig_n.py
LorenzTEONSig_n.py
35: Reservoir TE with significance testing & Mackey-Glass prediction task
Estimators setup
Significance test for differences in mean square error (MSE) using Wilcoxon signed-rank test
Reservoir TE distribution
AIS
Zdrojaky:
MGTESig.py
MGTEnormalizedSig.py
MGTEOGSig_n.py
MGTEONSig_n.py
