The Prefrontal Cortex is the core of higher level learning and memory. It currently operates
much like an AI system, in the sense that its actions are guided via a dopamine based …

The integration of modulatory neurons into evolutionary artificial neural networks is
proposed here. A model of modulatory neurons was devised to describe a plasticity …

Neural plasticity plays an important role in learning and memory. Reward-modulation of
plasticity offers an explanation for the ability of the brain to adapt its neural activity to achieve …

More than 60 years later, Hebb's prophecy “neurons that fire together wire together”(Hebb,
1949; Shatz, 1992) prevails as one of the cornerstones of modern neuroscience …

An ambitious long-term goal for neuroevolution, which studies how artificial evolutionary
processes can be driven to produce brain-like structures, is to evolve neurocontrollers with a …

Self-organization in biological nervous systems during the lifetime is known to largely occur
through a process of plasticity that is dependent upon the spike-timing activity in connected …

Brain-like artificial intelligence in electronics can be built efficiently by understanding the
connectivity of neuronal circuitry. The concept of neural connectivity inference with a two …

Objective. In the theoretical framework of predictive coding and active inference, the brain
can be viewed as instantiating a rich generative model of the world that predicts incoming …

The impressive lifelong learning in animal brains is primarily enabled by plastic changes in
synaptic connectivity. Importantly, these changes are not passive, but are actively controlled …

This article supports the relevance of modeling new bioinspired properties in rate-coding
artificial neurons, focusing on fundamental neural properties rarely implemented thus far in …