Create a Java class named Rectangle with a static method calculateArea that takes the length and width as parameters and calculates and returns the area of a rectangle.

The passive or leaky integrate-and-fire model is a good approximation to model  

In molluscan neurons, the carrier of inward current during the rising phase of the action potential is usually calcium.  This ion has an unusually steep concentration gradient.  Given the values below, what is the equilibrium potential for Ca2+ at 20 deg Celsius?   (Consider the options carefully.) o = 10-2 M          i = 1.7 x 10-7 M                o  log ——— = 4.77        i          i  log ——— = -4.77        o

Consider the squid giant axon at rest with normal intracellular and extracellular ion concentrations.  If the membrane permeability to K+ ions is increased, then over the short term (a few minutes)

In a two-compartment model of a cell with a K+- and Cl–-permeable membrane and a 10-fold excess of K+ in the inside compartment, how would the membrane potential change if all K+ ions were replaced by Cl– ions?

In a generalized linear model, the probability of a neural response is dependent on the statistics of the stimulus, in addition to those governing the neuron’s intrinsic mechanisms (its firing history)

Changing the temperature of a squid giant axon from 20oC to 40oC would change the K+ equilibrium potential (Nernst potential) from about -75 mV to about

The time constant of synaptic integration of a Leaky Integrate and Fire neuron will affect the coefficient of variation in the following ways

The central idea of projecting the neural data onto a lower dimensional space (e.g. principal component analysis) is to reduce the dimensionality of a data set consisting of a large number of interrelated variables, while retaining as much as possible of the variation present that could be attributed to the stimulus that evoked this neural activity.

Some notable differences between linear and Bayesian decoders (Choose all that apply)