In systems neuroscience, it is becoming increasingly common to record the activity of
hundreds of neurons simultaneously via electrode arrays. The ability to accurately measure …

Synfire waves are propagating spike packets in synfire chains, which are feedforward chains
embedded in random networks. Although synfire waves have proved to be effective …

We address the problem of estimating the effective connectivity of the brain network, using
the input stimulus model proposed by Izhikevich in [1], which accurately reproduces the …

We present a new approach for analyzing multi-channel recordings, such as ECoG
(electrocorticograph) recordings of cortical brain activity and of individual neuron dynamics …

We present here a novel method for the classical task of finding and extracting recurring
spatiotemporal patterns in recorded spiking activity of neuronal populations. In contrast to …

dc. description. abstract Correlated, or synchronized, spiking activity among pairs of neurons
is widely observed across the nervous system. How do these correlations arise from the …

This study presents two efficient algorithms–combinatorial and probabilistic combinatorial
methods (CM and PCM)–for estimation of a number of precise patterns of discharges that …

State-of-the-art techniques allow researchers to record large numbers of spike trains in
parallel for many hours. With enough such data, we should be able to infer the connectivity …

In the nervous system, neurons convey information by means of electric pulses called action
potentials or spikes. The information is encoded in sequences of these pulses, called spike …

How can sampling methods affect our results? In predicting pairwise correlations between
neurons, the accuracy of the sampling method is crucial, as many studies suggest that …