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The ultimate objective of this project is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover
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MEG or EEG), strong skills in artificial neural netwroks, strong programming skills (MATLAB and/or Python), and solid knowledge of statistical methods. Experience in designing, fitting and comparing
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scientific writing and communication skills. Experience with one or more of the following will be particularly valued: Experience with BESA (EEG) and/or Satori (fNIRS) Physiological signals such as EEG, fNIRS
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-driven intracranial EEG (iEEG) approaches to characterize the Epileptogenic Network (EpiNet) and identify network chokepoints involved in seizure initiation. The position integrates preclinical optogenetic
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who maintain exceptional cognitive and physical function. We aim to understand the links between vascular brain function, neural plasticity measured through EEG, and biomechanical control of standing
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to work in an interdisciplinary team. At least 1 year of experience in research activities carried out within at least one project in the field of brain research, including experience in EEG data recording
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is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data, label
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for advanced statistical and time-series analyses. They will analyse behavioral, EEG and eye-tracking data collected during prolonged experimental sessions. The research will focus on the modelling and
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, Neuroscience Posting Number req27102 Department Neuroscience Department Website Link https://neurosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Maurer laboratory
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mouse models. The research will include colony management and genotyping, deployment and evaluation of in vivo gene therapy treatments, EEG and behavioral assessments, histology and molecular studies