?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Normalisation+of+Weights+and+Firing+Rates+in+Spiking+Neural+Networks+with+Spike-Timing-Dependent+Plasticity&rft.creator=Kozdon%2C+K&rft.creator=Bentley%2C+P&rft.description=Maintaining+the+ability+to+fire+sparsely+is+crucial+for+infor-+mation+encoding+in+neural+networks.+Additionally%2C+spiking+homeostasis+is+vital+for+spiking+neural+networks+with+chang-+ing+numbers+of+weights+and+neurons.+We+discuss+a+range+of+network+stabilisation+approaches%2C+inspired+by+homeostatic+synaptic+plasticity+mechanisms+reported+in+the+brain.+These+include+weight+scaling%2C+and+weight+change+as+a+function+of+the+network%E2%80%99s+spiking+activity.+We+tested+normalisation+of+the+sum+of+weights+for+all+neurons%2C+and+by+neuron+type.+We+ex-+amined+how+this+approach+affects+firing+rate+and+performance+on+clustering+of+time-series+data+in+the+form+of+moving+geo-+metric+shapes.+We+found+that+neuron+type-specific+normali-+sation+is+a+promising+approach+for+preventing+weight+drift+in+spiking+neural+networks%2C+thus+enabling+longer+training+cycles.+It+can+be+adapted+for+networks+with+architectural+plasticity.&rft.subject=spiking+neural+networks%2C+neural+networks%2C+AI&rft.publisher=Developmental+Neural+Networks&rft.date=2019-07-29&rft.type=Proceedings+paper&rft.publisher=the+Artificial+Life+Conference+(Life)&rft.language=eng&rft.source=+++++In%3A++Proceedings+of+the+2019+Conference+on+Artificial+Life.++++Developmental+Neural+Networks%3A+Newcastle%2C+United+Kingdom.+(2019)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10080543%2F7%2FKozdon_Normalisation%2520of%2520Weights%2520and%2520Firing%2520Rates%2520in%2520Spiking%2520Neural%2520Networks%2520with%2520Spike-Timing-Dependent%2520Plasticity_AAM.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10080543%2F&rft.rights=open