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%252C+we+propose+a+class+of+self-organizing+neural+networks+capable+of+synaptic+and+structural+plasticity+in+an+activity+and+reward-dependent+manner+which+we+call+Lifelong+Neural+Developmental+Program+(LNDP).+We+present+an+instance+of+such+a+network+built+on+the+graph+transformer+architecture+and+propose+a+mechanism+for+pre-experience+plasticity+based+on+the+spontaneous+activity+of+sensory+neurons.+Our+results+demonstrate+the+ability+of+the+model+to+learn+from+experiences+in+different+control+tasks+starting+from+randomly+connected+or+empty+networks.+We+further+show+that+structural+plasticity+is+advantageous+in+environments+necessitating+fast+adaptation+or+with+non-stationary+rewards.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.c6b3f05ee64cc6526e0ca1614d37e204%3frik%3dM1ZApd%252fIz%252fMf9A%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Spontaneous+Neural+Network+Activity&FORM=IRPRST&ck=5B4A6E034268BC11284BFABB2631C211&selectedIndex=28&itb=0)
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