Dendritic spines are the morphological basis of excitatory synapses in the cortex and their
size and shape correlates with functional synaptic properties. Recent experiments show that …

Design and implementation of artificial neuromorphic systems able to provide brain akin
computation and/or bio-compatible interfacing ability are crucial for understanding the …

The ability to learn sequential behaviors is a fundamental property of our brains. Yet a long
stream of studies including recent experiments investigating motor sequence learning in …

Designing and implementing artificial systems that can be interfaced with the human brain or
that can provide computational ability akin to brain's processing information efficient style is …

Simple Summary Information processing in the brain takes places at multiple stages, each of
which is a local network of neurons. The long-range connections between these network …

Synapses between cortical neurons are subject to constant modifications through synaptic
plasticity mechanisms, which are believed to underlie learning and memory formation. The …

Most classical (non-spiking) neural network models disregard internal neuron dynamics and
treat neurons as simple input integrators. However, biological neurons have an internal state …

The brain is a large complex system which is remarkably good at maintaining stability under
a wide range of input patterns and intensities. In addition, such a stable dynamical state is …