Many physiologic effects of l-glutamate, the major excitatory neurotransmitter in the
mammalian central nervous system, are mediated via signaling by ionotropic glutamate …

Synaptic plasticity, the activity-dependent change in neuronal connection strength, has long
been considered an important component of learning and memory. Computational and …

Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

Optogenetics ushered in a revolution in how neuroscientists interrogate brain function.
Because of technical limitations, the majority of optogenetic studies have used low spatial …

Artificial neural networks have been used as a powerful processing tool in various areas
such as pattern recognition, control, robotics, and bioinformatics. Their wide applicability has …

Learning is primarily mediated by activity-dependent modifications of synaptic strength
within neuronal circuits. We discovered that place fields in hippocampal area CA1 are …

As a new brain-inspired computational model of the artificial neural network, a spiking
neural network encodes and processes neural information through precisely timed spike …

A vast majority of computation in the brain is performed by spiking neural networks. Despite
the ubiquity of such spiking, we currently lack an understanding of how biological spiking …

Applications that generate huge amounts of data in the form of fast streams are becoming
increasingly prevalent, being therefore necessary to learn in an online manner. These …

Vagus nerve stimulation (VNS) is a neuromodulation therapy for a broad and expanding set
of neurologic conditions. However, the mechanism through which VNS influences central …