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Thanate Angsuwatanakul

Showing results (1-10 of 7) with videos related to

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Hearing Research|June 26, 2021
More evidence for a long-latency mismatch response in urethane-anaesthetised miceJamie A O'Reilly, Thanate Angsuwatanakul
IBRO Neuroscience Reports|July 15, 2024
Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional networkFawad Asadi, Thanate Angsuwatanakul, Jamie A O'Reilly
The European Journal of Neuroscience|June 13, 2022
Decoding violated sensory expectations from the auditory cortex of anaesthetised mice: Hierarchical recurrent neural network depicts separate 'danger' and 'safety' unitsJamie A O'Reilly, Thanate Angsuwatanakul, Jordan Wehrman
Data in Brief|March 27, 2024
A simultaneous EEG-fNIRS dataset of the visual cognitive motivation study in healthy adultsTustanah Phukhachee, Thanate Angsuwatanakul, Keiji Iramina, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Measuring brain activation by using baseline-normalized event-related spectral perturbation in working memory taskTustanah Phukhachee, Suthathip Maneewongvatana, Boonserm Kaewkamnerdpong, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Investigating the Effect of Intrinsic Motivation on Alpha Desynchronization Using Sample EntropyTustanah Phukhachee, Suthathip Maneewongvatana, Thanate Angsuwatanakul, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Multiscale Entropy as a New Feature for EEG and fNIRS AnalysisThanate Angsuwatanakul, Jamie O'Reilly, Kajornvut Ounjai, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Hearing Research|June 26, 2021
More evidence for a long-latency mismatch response in urethane-anaesthetised miceJamie A O'Reilly, Thanate Angsuwatanakul
IBRO Neuroscience Reports|July 15, 2024
Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional networkFawad Asadi, Thanate Angsuwatanakul, Jamie A O'Reilly
The European Journal of Neuroscience|June 13, 2022
Decoding violated sensory expectations from the auditory cortex of anaesthetised mice: Hierarchical recurrent neural network depicts separate 'danger' and 'safety' unitsJamie A O'Reilly, Thanate Angsuwatanakul, Jordan Wehrman
Data in Brief|March 27, 2024
A simultaneous EEG-fNIRS dataset of the visual cognitive motivation study in healthy adultsTustanah Phukhachee, Thanate Angsuwatanakul, Keiji Iramina, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Measuring brain activation by using baseline-normalized event-related spectral perturbation in working memory taskTustanah Phukhachee, Suthathip Maneewongvatana, Boonserm Kaewkamnerdpong, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Investigating the Effect of Intrinsic Motivation on Alpha Desynchronization Using Sample EntropyTustanah Phukhachee, Suthathip Maneewongvatana, Thanate Angsuwatanakul, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Multiscale Entropy as a New Feature for EEG and fNIRS AnalysisThanate Angsuwatanakul, Jamie O'Reilly, Kajornvut Ounjai, et al.
Pageof 1