Neuromorphic hardware enables fast and power-efficient neural network–based artificial
intelligence that is well suited to solving robotic tasks. Neuromorphic algorithms can be …

In spike-timing-dependent plasticity (STDP), the order and precise temporal interval
between presynaptic and postsynaptic spikes determine the sign and magnitude of long …

We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of
juvenile rat. The reconstruction uses cellular and synaptic organizing principles to …

If a three-dimensional physical electronic system emulating synapse networks could be built,
that would be a significant step toward neuromorphic computing. However, the fabrication …

In order to imitate brain-inspired biological information processing systems, various
neuromorphic computing devices have been proposed, most of which were prepared on …

LTP and LTD, the long-term potentiation and depression of excitatory synaptic transmission,
are widespread phenomena expressed at possibly every excitatory synapse in the …

Experiences, whether they be learning in a classroom, a stressful event, or ingestion of a
psychoactive substance, impact the brain by modifying the activity and organization of …

Spike timing–dependent plasticity (STDP) as a Hebbian synaptic learning rule has been
demonstrated in various neural circuits over a wide spectrum of species, from insects to …

How learning and memory is achieved in the brain is a central question in neuroscience.
Key to today's research into information storage in the brain is the concept of synaptic …

Recent findings of spike timing-dependent plasticity (STDP) have stimulated much interest
among experimentalists and theorists. Beyond the traditional correlation-based Hebbian …