Rapid experimental advances now enable simultaneous electrophysiological recording of neural activity at single-cell resolution across large regions of the nervous system. Models of this neural network activity will necessarily increase in size and complexity, thus increasing the computational cost of simulating them and the challenge of analyzing them. Here we present a method to approximate t...

it was shown that permethrin resistance in adult anopheles stephensi is due to at least three separate mechanisms. cytochrome p-450s and esterases are responsible for two-thirds of the 8-fold enhanced tolerance of the dub-apr resistant strain as compared with a sensitive strain, ind-s. it was postulated that target site insensitivity is also involved. to test this hypothesis, we conducted a neu...

models of computation include the Turing machine, which is an imaginary device consisting of a tape with squares that contain a 0 or 1 and a head that can move from square to square. A table of very simple instructions completely determines the movements and reading and writing behavior of the head. The Turing machine, and mathematically equivalent abstractions such as recursive function theory...

Sociability promotes a sound daily life for individuals. Reduced sociability is a central symptom of various neuropsychiatric disorders, and yet the neural mechanisms underlying reduced sociability remain unclear. The prelimbic cortex (PL) and infralimbic cortex (IL) have been suggested to play an important role in the neural mechanisms underlying sociability because isolation rearing in rats r...

We present a computational, biophysical model of neuron-astrocyte-vessel interaction. Unlike other cells, neurons convey "hunger" signals to the vascular network via an intervening layer of glial cells (astrocytes); vessels dilate and release glucose which fuels neuronal firing. Existing computational models focus on only parts of this loop (neuron→astrocyte→vessel→neuron), whereas the proposed...

We present an information-geometric measure to systematically investigate neuronal firing patterns, taking account not only of the second-order but also of higher-order interactions. We begin with the case of two neurons for illustration and show how to test whether or not any pairwise correlation in one period is significantly different from that in the other period. In order to test such a hy...

Biological neural networks are large systems of complex elements interacting through a complex array of connections. Individual neurons express a large number of active conductances (Connors et al., 1982; Adams & Gavin, 1986; Llinás, 1988; McCormick, 1990; Hille, 1992) and exhibit a wide variety of dynamic behaviors on time scales ranging from milliseconds to many minutes (Llinás, 1988; Harris-...

Neural network models of associative memory with uniform inhibition are studied. It is shown that for sufficiently strong inhibition the system orders only partially even at low temperatures. A fraction of the neurons freezes in a quiescent state while the activities of the rest of the neurons fluctuate in time around an average level that is small compared to the saturation level. These models...