The interdependencies between the electroencephalograms of several cortical areas are measured in human adult subjects during different experimental situations by means of methods based on the theory of dynamical systems. Multiple cortical areas are found to be synchronized together while the brain was engaged in higher information processing task. An additional experiment showed that the inter...

A new approach is proposed to detect instantaneous correlations between neural activity in different parts of the brain measured with extracellular multi-site recordings. With this method one can also study how the coupling between different areas changes while the animal is performing certain tasks. We illustrate this method by investigating the coupling between the two mushroom bodies of the ...

The exact mechanism of information transfer between different brain regions is still not known. The theory of binding tries to explain how different aspects of perception or motor action combine in the brain to form a unitary experience. The theory presumes that there is no specific center in the brain that would gather the information from all the other brain centers, governing senses, motion,...

Automatic systems capable of understanding different facets of human communication will be at the heart of human-computer interfaces (HCI) in the near future. An HCI which is built on the guiding principle: "think and make it happen without any physical effort" is called a brain-computer interface (BCI). Indeed, the "think" part of this principle involves the human brain, "make it happen" impli...

We present a novel framework for characterizing signals in images using techniques from computational algebraic topology. This technique is general enough for dealing with noisy multivariate data including geometric noise. The main tool is persistent homology which can be encoded in persistence diagrams. These are scatter plots of paired local critical values of the signal. One of these diagram...

The rapid advances in brain imaging technology over the past 20 years are affording new insights into cortical processing hierarchies in the human brain. These new data provide a complementary front in seeking to understand the links between perceptual and physiological states. Here we review some of the challenges associated with incorporating brain imaging data into such "linking hypotheses,"...

March 2005 | Volume 3 | Issue 3 | e108 | e75 Any organism may be limited by some essential nutrient in short supply—nitrogen for a plant on poor soil, for instance, or iron for phytoplankton in the open ocean. For the long-lived tubeworm Lamellibrachia luymesi, what it needs most and has least is sulfi de. L. luymesi lives clustered around hydrocarbonreleasing ocean fl oor seeps in the Gulf of ...

This article presents, for the first time, a practical method for the direct quantification of frequency-specific synchronization (i.e., transient phase-locking) between two neuroelectric signals. The motivation for its development is to be able to examine the role of neural synchronies as a putative mechanism for long-range neural integration during cognitive tasks. The method, called phase-lo...

The ability to extract word forms from continuous speech is a prerequisite for constructing a vocabulary and emerges in the first year of life. Electrophysiological (ERP) studies of speech segmentation by 9- to 12-month-old listeners in several languages have found a left-localized negativity linked to word onset as a marker of word detection. We report an ERP study showing significant evidence...

Associative memory is defined as memory for the relationship between two initially unrelated items, like a name and an unfamiliar face. Associative memory is not only one of the most common forms of memory used in everyday situations, but is highly dependent on the structures of the medial temporal lobe (MTL). The goal of this chapter is to review the patterns of neural activity shown to underl...