Based on two-photon calcium imaging, Histed et al.(2009) concluded that electrical
microstimulation of cortical tissue in mammals activates a sparse and distributed population …

The Ising model has recently received much attention for the statistical description of neural
spike train data. In this paper, we propose and demonstrate its use for building decoders …

In bi-directional brain-machine interfaces (BMIs), precisely controlling the delivery of
microstimulation, both in space and in time, is critical to continuously modulate the neural …

Publisher Summary This chapter focuses on the discrete-time detection and classification of
action potentials (APs)—or spikes—in extracellular neural recordings. These spikes are …

This paper quantifies and comparatively validates functional connectivity between neurons
by measuring the statistical dependence between their firing rates. Based on statistical …

Over millions of years of evolution, biology has optimized the neuron structure and the
interconnects for energy consumption and communication. Inspired by biology many …

In this paper, we propose a novel information theoretic model to interpret the entire
“transmission chain” comprising stimulus generation, brain processing by the human …

Brain machine interfaces (BMI) have attracted intensive attention as a promising technology
to aid disabled humans. However, the neural system is highly distributed, dynamic and …

Electroencephalograph (EEG) is a process mainly used in medical and research fields to
study the electrical activities in a brain. In this technique, 128 or 256 electrodes are attached …

We present a novel information theoretical framework to analyze electroencephalography
(EEG) brain response and infer the cortical functional connectivity in response to change in …