10 PRINT "MEMRISTOR CROSSBAR ARRAY SIMULATION"
20 PRINT "------------------------------------"
30 PRINT "Description:"
40 PRINT "1. Simulation of a memristor crossbar array and a simple spiking neural network"

60 DIM CROSSBAR(8, 8)
70 FOR ROW = 0 TO 7
80     FOR COL = 0 TO 7
90         CROSSBAR(ROW, COL) = 0
100     NEXT COL
110 NEXT ROW

130 REM Spiking Neural Network Simulation
140 DIM NEUR(2)
150 FOR I = 0 TO 2
160     NEUR(I) = 0
170 NEXT I

190 FOR ITERATION = 1 TO 1000
200     PRINT "Current Crossbar Array:"
210     PRINT "ROW/COL 0 1 2 3 4 5 6 7"
220     PRINT "----------------------------"
230     FOR ROW = 0 TO 7
240         PRINT " " ROW;
250         FOR COL = 0 TO 7
260             PRINT CROSSBAR(ROW, COL);
270         NEXT COL
280         PRINT
290     NEXT ROW

310     REM 1. Simulate some changes in the crossbar array (you can modify this part as needed)
320     REM For example, let's set a few random memristors to 1
330     FOR I = 1 TO 5
340         ROW = INT(RND(0) * 8)
350         COL = INT(RND(0) * 8)
360         CROSSBAR(ROW, COL) = 1
370     NEXT I

390     REM Pause to observe the changes (you can modify the delay as needed)
400     FOR DELAY = 1 TO 2
410         FOR RETAR = 1 TO 2
420             GOTO 430
430         NEXT RETAR
440     NEXT DELAY

460     REM 4. Check if any memristor is set to 1, then spike the corresponding neuron
470     FOR ROW = 0 TO 7
480         FOR COL = 0 TO 7
490             IF CROSSBAR(ROW, COL) = 1 THEN
500                 NEUR(ROW) = 1 
510                 GOTO 540            
530         NEXT COL
540     NEXT ROW

560     REM 6. Display neuron states
570     PRINT "Neuron states:"
580     FOR I = 0 TO 2
590         PRINT "Neuron "; I; ": "; NEUR(I)
600     NEXT I

620     REM Reset NEUR 
630     FOR I = 0 TO 2
640         NEUR(I) = 0
650     NEXT I

700 NEXT ITERATION