Abstract Spiking Neural Networks (SNNs) are biologically-inspired models that are capable
of processing information in streams of action potentials. However, simulating and training …

Artificial neural networks are highly successfully trained with backpropagation. For spiking
neural networks, however, a similar gradient descent scheme seems prohibitive due to the …

Memories may be encoded in the brain via strongly interconnected groups of neurons,
called assemblies. The concept of Hebbian plasticity suggests that these assemblies are …

Computational modeling of neural circuits has successfully explained the observed irregular
and asynchronous activity in the brain as the result of a dynamical balance of excitatory and …

The human brain is considered by many to be the most complex object we know. It enables
us to perceive, to think, to feel and to interact with the world. Understanding how the brain …