Neuronal networks with strong recurrent connectivity provide the brain with a powerful
means to perform complex computational tasks. However, high-gain excitatory networks are …

Highlights•Voltage-gated ion channels participate in memory formation.•Intrinsic plasticity is
not only global but it might be also local.•Intrinsic plasticity shares common learning rules …

Recognition of objects from sensory stimuli is essential for survival. To that end, sensory
networks in the brain must form object representations invariant to stimulus changes, such …

Hebbian plasticity, a synaptic mechanism which detects and amplifies co-activity between
neurons, is considered a key ingredient underlying learning and memory in the brain …

We summarize here the results presented and subsequent discussion from the meeting on
Integrating Hebbian and Homeostatic Plasticity at the Royal Society in April 2016. We first …

Concomitance of diverse synaptic plasticity across different timescales produces complex
cognitive processes. To achieve comparable cognitive complexity in memristive …

Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning
of knowledge through experience. However, conventional deep neural models for action …

To produce adaptive behavior, neural networks must balance between plasticity and
stability. Computational work has demonstrated that network stability requires plasticity …

Self-organized criticality has been proposed to be a universal mechanism for the emergence
of scale-free dynamics in many complex systems, and possibly in the brain. While such …

Hebbian plasticity is widely considered to be the mechanism by which information can be
coded and retained in neurons in the brain. Homeostatic plasticity moves the neuron back …