The consequences of imposing a sign constraint on the standard Hopfield architecture associative memory model, trained using perceptron like learning rules, is examined. Such learning rules have been shown to have capacity of at most half of their unconstrained versions. This paper reports experimental investigations into the consequences of constraining the sign of the network weights in terms...

Abstract We study the storage capacity of quantum neural networks (QNNs), described by completely positive trace preserving (CPTP) maps acting on an N -dimensional Hilbert space. demonstrate that attractor QNNs can store in a non-trivial manner up to linearly independent pure states. For n qubits, reach exponential capacity, <mml:math xmlns:mml="http://www.w3.or...

Abstract The world is facing a global problem, namely Coronavirus (COVID 19). Covid-19 outbreak in Indonesia has spread to various regions. government imposed social distancing and several regions have Large-Scale Social Restrictions (PSBB) break the chain of spreading covid-19. Large-scale are restrictions on activities areas suspected being infected with prevent its spread. policy affects alm...

Individual variability in reward-based learning has been ascribed to quantitative variation in baseline levels of striatal dopamine. However, direct evidence for this pervasive hypothesis has hitherto been unavailable. We demonstrate that individual differences in reward-based reversal learning reflect variation in baseline striatal dopamine synthesis capacity, as measured with neurochemical po...