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PhD in Psychology Detecting Neural Replay in Sleep with Eeg Classifiers

Cardiff University, UK is offering PhD position in signal processing. Applications should be sent before November 18, 2018.

Memories are spontaneously replayed in sleep, and this replay is critical for their consolidation (strengthening and integration with pre-existing knowledge).

Until recently, it has been impossible to detect these replays in humans, but work from our laboratory has devised a method to achieve this using machine learning to analyse EEG data.In this PhD, we will seek to extend this work by improving the detection method and using it to examine many additional aspects of memory replay such as how long it lasts, which phases of sleep it occurs in, and how it impacts on neuroplasticity.

We will first use common machine learning algorithms such as SVM, Logistic Regression, KNN with emphasis in feature extraction and selection. As this is a challenging problem we aim to explore and combine techniques from areas such as time series analysis (dynamic time warping), neuroimaging (representation similarity analysis) and deep learning (LSTM, convolutional NN).

We seek a computer science or engineering student with a good background in machine learning and signal processing to take this work forward.See an initial paper we've written on this subject.

The Neuroscience and Psychology of Sleep (NaPS) lab is a thriving community of computer scientists and sleep researchers studying all aspects of how sleep impacts on cognition.

Cardiff University's Brain Research Imaging Centre (CUBRIC) opened in Spring 2016, housing a unique combination of facilities and expertise that will further its world-leading research in Neuroimaging, Cognitive Neuroscience and Biological Psychiatry.


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