#Fig 3 (and Fig 4 control): Columns 1-2 (LFS and 4xHFS with full fluxes) #Fig 4: Columns 3-9 (4xHFS without Ca, without beta-adr ligand, without Glu, without Glu&ACh; LFS without beta (not shown in Fig), without Glu, without Glu&ACh) TASKS=( 0 1 1 1 1 1 0 0 0) CAFLUXES=( 1900.0 1900.0 0.0 1900.0 1900.0 1900.0 1900.0 1900.0 1900.0) LFLUXES=( 10.0 10.0 10.0 0.0 10.0 10.0 10.0 10.0 10.0 ) GLUFLUXES=(20.0 20.0 20.0 20.0 0.0 0.0 0.0 10.0 0.0 ) ACHFLUXES=(20.0 20.0 20.0 20.0 20.0 0.0 20.0 20.0 0.0 ) TSHORT=5000000 ONSET=4040000 for iflux in `seq 0 8` do CAFLUX=${CAFLUXES[iflux]} LFLUX=${LFLUXES[iflux]} GLUFLUX=${GLUFLUXES[iflux]} ACHFLUX=${ACHFLUXES[iflux]} TASK_ID=${TASKS[iflux]} if [ "$TASK_ID" == "0" ] then echo "python model_nrn_altered_noU.py ${TSHORT} 1e-6 $ONSET 900 5 3.0 $CAFLUX $LFLUX $GLUFLUX $ACHFLUX 1 100000 None #LFS" python model_nrn_altered_noU.py ${TSHORT} 1e-6 $ONSET 900 5 3.0 $CAFLUX $LFLUX $GLUFLUX $ACHFLUX 1 100000 None else echo "python model_nrn_altered_noU.py ${TSHORT} 1e-6 $ONSET 100 100 3.0 $CAFLUX $LFLUX $GLUFLUX $ACHFLUX 4 4000 None #4xHFS-3s" python model_nrn_altered_noU.py ${TSHORT} 1e-6 $ONSET 100 100 3.0 $CAFLUX $LFLUX $GLUFLUX $ACHFLUX 4 4000 None fi done CAFLUX=${CAFLUXES[1]} LFLUX=${LFLUXES[1]} GLUFLUX=${GLUFLUXES[1]} ACHFLUX=${ACHFLUXES[1]} #For Fig. 3, we need high-resolution Ca data. Better to use these instead of the scripts for iflux=0 and iflux=1 above echo "python model_nrn_altered_noU_noninterp.py ${TSHORT} 1e-6 $ONSET 900 5 3.0 $CAFLUX $LFLUX $GLUFLUX $ACHFLUX 1 100000 None #LFS" python model_nrn_altered_noU_noninterp.py ${TSHORT} 1e-6 $ONSET 900 5 3.0 $CAFLUX $LFLUX $GLUFLUX $ACHFLUX 1 100000 None echo "python model_nrn_altered_noU_noninterp.py ${TSHORT} 1e-6 $ONSET 100 100 3.0 $CAFLUX $LFLUX $GLUFLUX $ACHFLUX 4 4000 None #4xHFS-3s" python model_nrn_altered_noU_noninterp.py ${TSHORT} 1e-6 $ONSET 100 100 3.0 $CAFLUX $LFLUX $GLUFLUX $ACHFLUX 4 4000 None