David Nicholls

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Neuronal populations in the brain achieve levels of synchronous electrophysiological activity during both normal brain function and pathological states such as epileptic seizures. Understanding how the dynamics of neuronal oscillators in the brain evolve from normal to diseased states is a critical component toward decoding such complex behaviors. In this(More)
Neuronal populations throughout the brain achieve levels of synchronous electrophysiological activity as a consequence of both normal brain function as well as during pathological states such as in epileptic seizures. Understanding this synchrony and being able to quantitatively assess the dynamics with which neuronal oscillators across the brain couple(More)
Neuronal populations in the brain achieve levels of synchronous electrophysiological activity as a consequence of both normal brain function as well as during pathological states such as epileptic seizures. Understanding the nature of how synchrony and the dynamics of neuronal oscillators in the brain evolve from normal to the diseased state is a critical(More)
Neuronal populations throughout the brain achieve levels of synchronous electrophysiological activity as a consequence of both normal brain function as well as during pathological states such as in epileptic seizures. Understanding this synchrony and being able to quantitatively assess the dynamics with which neuronal oscillators across the brain couple(More)
Epileptic seizures were experimentally induced in the CA3 region of rat hippocampus in vivo. Recordings of seizure activity were made in both hippocampi as well as anteromedial region of the thalamus in order to analyze the instantaneous activity for synchronous oscillators. A new method is introduced for detecting this synchrony which combines empirical(More)
—Epileptic seizures were experimentally induced in the CA3 region of rat hippocampus in vivo. Recordings of seizure activity were made in both hippocampi as well as anteromedial region of the thalamus in order to analyze the instantaneous activity for synchronous oscillators. A new method is introduced for detecting this synchrony which combines empirical(More)
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