We investigate the propagation of pulses of spike activity in a neuronal network with feedforward couplings. The neurons are of the spike-response type with a firing probability that depends linearly on the membrane potential. After firing, neurons enter a phase of refractoriness. Spike packets are described in terms of the moments of the firing-time distribution so as to allow for an analytica...

1. Pairing low-frequency orthodromic stimulation with high-frequency antidromic conditioning of pyramidal cells in area CA1 of the rat hippocampus resulted in long-lasting potentiation of the extracellular population spike of the cells, without an accompanying increase in the extracellular excitatory postsynaptic potential (EPSP), indicating an increase in EPSP-spike (E-S) coupling, also called...

As multi-electrode and imaging technology begin to provide us with simultaneous recordings of large neuronal populations, new methods for modeling such data must also be developed. Here, we present a model for the type of data commonly recorded in early sensory pathways: responses to repeated trials of a sensory stimulus in which each neuron has it own time-varying spike rate (as described by i...

With the increasing availability of multi-unit recordings the focus of attention is shifting from bivariate estimators of spike train synchrony towards methods that describe patterns of activity across many neurons. Such measures of population spike train synchrony are becoming indispensable tools for addressing issues such as spike timing reliability, network synchronization, and neuronal codi...

Neurophysiology is largely the study of spike rates of single neurons, under controlled conditions, with the hope that these results reflect how populations of neurons compute. However, the population response differs radically from the single-neuron response if the membrane voltage's rate of change drops dramatically when it is close to the spike-firing threshold. By delaying spiking, this sle...

Neural populations in the neocortex typically encode multiple stimulus features, e.g., position, brightness, contrast, and orientation of a visual stimulus in the case of cells in area 17. Here, we perform a Fisher information analysis of the encoding accuracy of a neural population which is sensitive to D stimulus features. The neurons are assumed to exhibit a non-vanishing level of baseline a...

Synaptic plasticity is believed to be the biological substrate underlying learning and memory. One of the most widespread forms of synaptic plasticity, spike-timing-dependent plasticity (STDP), uses the spike timing information of presynaptic and postsynaptic neurons to induce synaptic potentiation or depression. An open question is how STDP organizes the connectivity patterns in neuronal circu...

In the spiked population model introduced by Johnstone [11], the population covariance matrix has all its eigenvalues equal to unit except for a few fixed eigenvalues (spikes). The question is to quantify the effect of the perturbation caused by the spike eigenvalues. Baik and Silverstein [5] establishes the almost sure limits of the extreme sample eigenvalues associated to the spike eigenvalue...

In many applications which make use of EEG to investigate brain functions, a central question is often to relate the recorded signals to the spatio-temporal organization of the underlying neuronal sources of activity. A modeling attempt to quantitatively investigate this imperfectly known relationship is reported. The proposed plausible model of EEG generation relies on an accurate representati...