Different types of dynamics and plasticity principles found through natural neural networks have been well-applied on Spiking neural networks (SNNs) because of their biologically-plausible efficient ...

Introduction: Neural circuits develop during critical periods (CPs) and exhibit heightened plasticity to adapt to the surrounding environment ... plausible spiking neural network that generates gamma ...

Such changes are of particular interest because these tiny protrusions are the normal site of excitatory synaptic ... them into the context of synaptic plasticity, developing a scenario of ...

The APOE ɛ 4 allele has a key role in the physiopathogenesis of diffuse cerebral processes and neuronal plasticity ... to loss of stimulation by excitatory neurotransmitters.

Despite the major influence of efficient coding in neuroscience, it has remained unclear whether fundamental empirical properties of neural network activity can be explained solely based on this ...

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However, some of them are too toxic to be safe for human use. Determining a drug's toxicity usually takes ... Machine learning techniques are well-known for performing several classification tasks. We ...

Because of this common finding and the increasing ageing population in many countries throughout the world, there is an increasing interest in assessing the possibility that partaking in or changing ...

GluN1-N2A-N2B tri-heteromeric tetramer highlighted the functional integration of GluN2A and GluN2B subunits in vivo. Its structure showed a distinct assembly and asymmetric architecture ...