It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

Pyramidal cells (PCs) form the backbone of the layered structure of the neocortex, and
plasticity of their synapses is thought to underlie learning in the brain. However, such long …

This work introduces a methodology for studying synchronization in adaptive networks with
heterogeneous plasticity (adaptation) rules. As a paradigmatic model, we consider a …

Synaptic plasticity is believed to be a key mechanism underlying learning and memory. We
developed a phenomenological N-methyl-D-aspartate (NMDA) receptor-based voltage …

Experiments have shown that the same stimulation pattern that causes Long-Term
Potentiation in proximal synapses, will induce Long-Term Depression in distal ones. In order …

Long-term potentiation (LTP) is a synaptic mechanism involved in learning and memory.
Experiments have shown that dendritic sodium spikes (Na-dSpikes) are required for LTP in …

Neural plasticity varies depending on the time of day and preceding sleep-wake history. It is
unclear however, how diurnal changes in cellular physiology modulate a neuron's …

Synaptic plasticity, the process by which synapses change in an activity-dependent manner,
is assumed to be the basis of learning. Experimental evidence demonstrates that activity …