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cs.AI2024
Neuromorphic dreaming: A pathway to efficient learning in artificial agents
Ingo Blakowski, Dmitrii Zendrikov, Cristiano Capone +1
Achieving energy efficiency in learning is a key challenge for artificial intelligence (AI) computing platforms. Biological systems demonstrate remarkable abilities to learn comple…
q-bio.NC2024
Adaptive behavior with stable synapses
Cristiano Capone, Luca Falorsi
Behavioral changes in animals and humans, as a consequence of an error or a verbal instruction, can be extremely rapid. Improvement in behavioral performances are usually associate…
cs.NE2024
Learning fast changing slow in spiking neural networks
Cristiano Capone, Paolo Muratore
Reinforcement learning (RL) faces substantial challenges when applied to real-life problems, primarily stemming from the scarcity of available data due to limited interactions with…