sequenceLength = 70 (sensorySequence, motorSequence, sensorimotorSequence) = \ smseq.generateSensorimotorSequence(sequenceLength) sensoryInputWidth = smseq.lengthSensoryInput motorCommandWidth = smseq.lengthMotorInput1D # Create Temporal Memory instance with appropriate parameters tm = TM_SM(numberOfCols=sensoryInputWidth, numberOfDistalInput=motorCommandWidth + sensoryInputWidth, cellsPerColumn=8, initialPerm=0.5, connectedPerm=0.6, minThreshold=10, newSynapseCount=50, newDistalSynapseCount=21, permanenceInc=0.1, permanenceDec=0.02, activationThreshold=10, globalDecay=0, burnIn=1, learnOnOneCell=True, verbosity=0) # Step 3: send this simple sequence to the temporal memory for learning print " Training Layer 4 temporal memory ..." # Send each letter in the sequence in order for j in range(sequenceLength): print "\nPosition:", j, "========================="
sensoryInputWidth = smseqs[0].lengthSensoryInput motorCommandWidth = smseqs[0].lengthMotorInput1D print "motorCommandWidth",motorCommandWidth # Create Temporal memory instance with appropriate parameters # It performs sensorimotor inference, simulating layer 4 tm = TM_SM(numberOfCols=sensoryInputWidth, numberOfDistalInput=motorCommandWidth+sensoryInputWidth, cellsPerColumn=8, initialPerm=0.4, connectedPerm=0.5, minThreshold=45, activationThreshold=45, newSynapseCount=50, newDistalSynapseCount=50, permanenceInc=0.1, permanenceDec=0.02, learnOnOneCell=True, learnDistalInputs=True, learnLateralConnections=False, globalDecay=0, burnIn=1, verbosity = 0) print "\nLayer 4 TM parameters:" tm.printParameters() ####################################################################### #
sequenceLength = 70 (sensorySequence, motorSequence, sensorimotorSequence) = \ smseq.generateSensorimotorSequence(sequenceLength) sensoryInputWidth = smseq.lengthSensoryInput motorCommandWidth = smseq.lengthMotorInput1D # Create Temporal Memory instance with appropriate parameters tm = TM_SM(numberOfCols=sensoryInputWidth, numberOfDistalInput=motorCommandWidth + sensoryInputWidth, cellsPerColumn=8, initialPerm=0.5, connectedPerm=0.6, minThreshold=10, newSynapseCount=50, newDistalSynapseCount=21, permanenceInc=0.1, permanenceDec=0.02, activationThreshold=10, globalDecay=0, burnIn=1, learnOnOneCell=True, verbosity=0) # Step 3: send this simple sequence to the temporal memory for learning print " Training Layer 4 temporal memory ..." # Send each letter in the sequence in order for j in range(sequenceLength):