Neuroscientists today can measure activity from more neurons than ever before, and are
facing the challenge of connecting these brain-wide neural recordings to computation and …

Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical
neural networks, have a number of fundamental limitations in comparison with the …

Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in
spiking neural networks (SNN) to extract visual features of low or intermediate complexity in …

Abstract We introduce Ultra-Flexible Tentacle Electrodes (UFTEs), packing many
independent fibers with the smallest possible footprint without limitation in recording depth …

Spike sorting is a crucial step to extract information from extracellular recordings. With new
recording opportunities provided by the development of new electrodes that allow …

At present, the prime methodology for studying neuronal circuit-connectivity, physiology and
pathology under in vitro or in vivo conditions is by using substrate-integrated microelectrode …

Epilepsy has been historically seen as a functional brain disorder associated with excessive
synchronization of large neuronal populations leading to a hypersynchronous state. Recent …

Sleep exerts many effects on mammalian forebrain networks, including homeostatic effects
on both synaptic strengths and firing rates. We used large-scale recordings to examine the …

To produce consistent sensory perception, neurons must maintain stable representations of
sensory input. However, neurons in many regions exhibit progressive drift across days …

Serotonin's function in the brain is unclear. One challenge in testing the numerous
hypotheses about serotonin's function has been observing the activity of identified …