Pyramidal neurons recorded from the rat hippocampus and entorhinal cortex, such as place and grid cells, have diverse receptive fields, which are either unimodal or multimodal. Spiking activity from these cells encodes information about the spatial position of a freely foraging rat. At fine timescales, a neuron's spike activity also depends significantly on its own spike history. However, due t...

To any model of brain function, the variability of neuronal spike firing is a problem that needs to be taken into account. Whereas the synaptic integration can be described in terms of the original Hodgkin-Huxley (H-H) formulations of conductance-based electrical signaling, the transformation of the resulting membrane potential into patterns of spike output is subjected to stochasticity that ma...

A catalogue record of this book is available from the British Library ISBN 0 521 81384 0 hardback ISBN 0 521 89079 9 paperback Contents Preface page xi Acknowledgments xiv 1 Introduction 1 1.1 Elements of neuronal systems 1 1.1.1 The ideal spiking neuron 2 1.1.2 Spike trains 3 1.1.3 Synapses 4 1.2 Elements of neuronal dynamics 4 1.2.1 Postsynaptic potentials 6 1.2.2 Firing threshold and action ...

We introduce a novel computational model of hippocampal pyramidal cells physiology based on an up-to-date, detailed description of passive and active biophysical properties and real dendritic morphology. This model constitutes a modification of a previous (1995) model which included complex calcium dynamics and Na(+), K(+), and Ca(2+) currents. Changes reflect recently acquired experimental kno...

This article examines the static and dynamic deformation of stem an ear wheat individual grain. The purpose is to determine factors influence on isolate Two stages grain ripening are considered: in early stage, attached spike by stem; second, there no stem, scales. fluctuations considered within Euler–Bernoulli bar theory. developed model divides study dynamics into two stages. first stage stud...

The variability of neuronal responses is proportional to the mean in many brain areas, which suggests that neural responses might follow a Poisson distribution. In this issue of Neuron, Maimon and Assad document a surprising violation of Poisson firing. Specifically, they show that there are differences in the amount of periodic structure in spike trains across cortical areas, with multimodal s...

The linear correlation coefficient is typically used to characterize and analyze dependencies of neural spike counts. Here, we show that the correlation coefficient is in general insufficient to characterize these dependencies. We construct two neuron spike count models with Poisson-like marginals and vary their dependence structure using copulas. To this end, we construct a copula that allows ...