Memory formation in matter is a theme of broad intellectual relevance; it sits at the
interdisciplinary crossroads of physics, biology, chemistry, and computer science. Memory …

The second half of the past century saw the emergence of a theory of cortical associative
memory function originating in Donald Hebb's hypotheses on activity-dependent synaptic …

Nanowire networks (NWNs) mimic the brain's neurosynaptic connectivity and emergent
dynamics. Consequently, NWNs may also emulate the synaptic processes that enable …

Several analog and digital brain-inspired electronic systems have been recently proposed
as dedicated solutions for fast simulations of spiking neural networks. While these …

We investigate self-sustaining stable states (attractors) in networks of integrate-and-fire
neurons. First, we study the stability of spontaneous activity in an unstructured network. It is …

Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook
teaches students how to use computational techniques to understand the nervous system at …

We present a mixed-mode analog/digital VLSI device comprising an array of leaky integrate-
and-fire (I&F) neurons, adaptive synapses with spike-timing dependent plasticity, and an …

The observation of place cells has suggested that the hippocampus plays a special role in
encoding spatial information. However, place cell responses are modulated by several …

Memories are stored and retained through complex, coupled processes operating on
multiple timescales. To understand the computational principles behind these intricate …

Storing memories of ongoing, everyday experiences requires a high degree of plasticity, but
retaining these memories demands protection against changes induced by further activity …