Synaptic transmission initiates a cascade of signal transduction events that couple neuronal
activity to local changes in blood flow and oxygenation. Although a number of vasoactive …

A mixed-signal very large scale integration (VLSI) chip for large scale emulation of spiking
neural networks is presented. The chip contains 2400 silicon neurons with fully …

Human walking is a dynamic, partly self-stabilizing process relying on the interaction of the
biomechanical design with its neuronal control. The coordination of this process is a very …

Simple cells in layer 4 of the primary visual cortex of the cat show contrast-invariant
orientation tuning, in which the amplitude of the peak response is proportional to the …

In psychophysics, cross-orientation suppression (XOS) and cross-orientation facilitation
(XOF) have been measured by investigating mask configuration on the detection threshold …

We examined how hippocamal CA1 neurons process complex time-varying inputs that
dendrites are likely to receive in vivo. We propose a functional model of the dendrite-to …

One of the most striking feature of the cortex is its ability to wire itself. Understanding how the
visual cortex wires up through development and how visual experience refines connections …

Simple recurrent networks (SRNs) in symbolic time-series prediction (eg, language
processing models) are frequently trained with gradient descent--based learning algorithms …

The pedestal or dipper effect is the large improvement in the detectability of a sinusoidal
grating observed when it is added to a masking or pedestal grating of the same spatial …

Mc Culloch-Pitts neuron is a simple yet powerful building block for most of nowadays neural
networks. However recent advances in neurosciences show that this classical paradigm can …