Objective. Behavior is encoded across multiple scales of brain activity, from binary neuronal
spikes to continuous fields including local field potentials (LFP). Multiscale models need to …

The dynamical systems view of movement generation in motor cortical areas has emerged
as an effective way to explain the firing properties of populations of neurons recorded from …

We propose a social model of spontaneous self‐organization generating criticality and
resilience, called Self‐Organized Temporal Criticality (SOTC). The criticality‐induced long …

Despite substantial progress in mapping the trajectory of network plasticity resulting from
focal ischemic stroke, the extent and nature of changes in neuronal excitability and activity …

The present work is on the spatiotemporal activities and effects of chaotic neurons in a pulse-
coupled biological neural network. The biological neural network used is that of …

Controlling the spatiotemporal firing pattern of an intricately connected network of neurons
through microstimulation is highly desirable in many applications. We investigated in this …

The idealization of neuronal pulses as δ-spikes is a convenient approach in neuroscience
but can sometimes lead to erroneous conclusions. We investigate the effect of a finite pulse …

Multielectrode recording experiments let us measure correlations between the activity of
individual neurons and the neural circuits in which they are embedded. Recently …

An important issue for neurophysiological studies of the visual system is the definition of the
region of the visual field that can modify a neuron's activity (ie, the neuron's receptive field …

The Poisson process is an often employed model for the activity of neuronal populations. It is
known, though, that superpositions of realistic, non-Poisson spike trains are not in general …