Sensory arrays made of coupled cells can improve both their input sensitivity and dynamic range due to collective non-linear wave properties. This mechanism is studied both in a one-dimensional and in a two-dimensional neural network of electrically coupled (e.g. via gap junctions) cells subject...

Details of signal transduction information in nerve growth cone still remain unclear. Elucidating functions of nerve growth cone is necessary for pathological research. Though reliable computer simulations are essential for furthering neural research, there have not been any outstanding computer...

This work considers a system of two spike-response cells, mutually connected by excitatory synapses that modify according to a multiplicative form of spike timing-dependent plasticity (STDP). The units are driven by independent external inputs as well as one common input, representing a global...

This paper presents cross-modal integration system which is hypothctically dedicated by a neuronal network where prefrontal cortex is interacted with hippocampus. The computational meaning of the network allows to have its bidirectional structure as well as its rewiring mechanism. We conclude...

We study the existence of one-dimensional periodic traveling waves in a network of coupled integrate-and-fire neurons. We consider two special cases for the kernel of the coupling function, namely finite support and exponential decay. In these cases, we analytically derive a self-consistency...

Neural interaction is a basic property in nervous systems. In the analysis of electrophysiological recordings, it is often desirable to determine whether or not one signal is causal relative to another. In this contribution, we present a frequency domain picture of Granger causality to evaluate...

Most databases currently under development in neuroscience are heavily curated, in that substantial effort is required by database builders to read the literature and enter the distilled information in a database. This provides a valuable resource, but may be too labor intensive to scale up to...

Gain modulation of neural responses by the balanced component of the synaptic input is analyzed in the gaussian approximation using a single compartment conductance-based neural model. The model is analyzed in the "normal operating regime", in which the output spiking-rate of the neuron is equal...

We show that in an inhibitory rhythmic network synaptic depression promotes phase constancy. As cycle period increases, the synapse recovers from depression and becomes more effective in delaying the postsynaptic cell. As a result, the delay between the pre- and postsynaptic bursts increases as...

The minimum-variance theory [12] was proposed to account for the eye and arm movement. However, we point out here that i) the input signals used in the the simulations are not Poisson processes; ii) when the input signal is a Poisson process, the solution of the minimum-variance is degenerate