Estimating the degree of synchrony or reliability between two or more spike trains is a frequent task in both experimental and computational neuroscience. In recent years, many different methods have been proposed that typically compare the timing of spikes on a certain time scale to be optimized by the analyst. Here, we propose the ISI-distance, a simple complementary approach that extracts in...

Recent progress in the technology for single unit recordings has given the neuroscientific community the opportunity to record the spiking activity of large neuronal populations. At the same pace, statistical and mathematical tools were developed to deal with high-dimensional datasets typical of such recordings. A major line of research investigates the functional role of subsets of neurons wit...

This study investigated the firing patterns of striatal and cortical neurons in rats in a temporal generalization task. Striatal and cortical ensembles were recorded in rats trained to lever press at 2 possible criterion durations (10 s or 40 s from tone onset). Twenty-two percent of striatal and 15% of cortical cells had temporally specific modulations in their firing rate, firing at a signifi...

Rodents use their whiskers to detect a variety of tactile features of their environment. They do so by using two functionally distinct whisker systems: the macrovibrissae and microvibrissae. To determine the functional role of unexplored microvibrissae, we recorded from the cortical area representing the frontobuccal pad in anesthetized rats while presenting moving textures of varying coarsenes...

Although a USV navigation system is an important application of unmanned systems, combining Inertial Navigation System (INS) with Global Positioning (GPS) can provide reliable and continuous solutions positioning based on its several advantages; the random error characteristics INS instability derived from GPS signal blockage represent potential threat to INS/GPS integration USV. Under this bac...

I. Abstract It is well-established that a multi-layer perceptron (MLP) with a single hidden layer of N neurons and an activation function bounded by zero at negative infinity and one at infinity can learn N distinct training sets with zero error. Previous work has shown that the input weights and biases for such a MLP can be chosen in an effectively arbitrary manner; however, this work makes th...

The accuracy of Global Positioning System (GPS) is increased with the coupling to Inertial Navigation System (INS) to accomplish navigation. This paper proposes an algorithm to filter and fuse the GPS and INS information. Sigma point kalman filter is employed to simulate the information convergence of the dynamic model which maintains better performance in nonlinear system. So we can obtain a b...