EEG radiotelemetry in small laboratory rodents: a powerful state‐of‐the art approach in neuropsychiatric, neurodegenerative, and epilepsy research
A Lundt, C Wormuth, ME Siwek, R Müller… - Neural …, 2016 - Wiley Online Library
EEG radiotelemetry plays an important role in the neurological characterization of transgenic
mouse models of neuropsychiatric and neurodegenerative diseases as well as epilepsies …
mouse models of neuropsychiatric and neurodegenerative diseases as well as epilepsies …
Minimum requirements for accurate and efficient real-time on-chip spike sorting
J Navajas, DY Barsakcioglu, A Eftekhar… - Journal of neuroscience …, 2014 - Elsevier
Background Extracellular recordings are performed by inserting electrodes in the brain,
relaying the signals to external power-demanding devices, where spikes are detected and …
relaying the signals to external power-demanding devices, where spikes are detected and …
Sampling rate, signal bandwidth and related pitfalls in EEG analysis
M Weiergräber, A Papazoglou, K Broich… - Journal of neuroscience …, 2016 - Elsevier
The electroencephalogram is one of the standard systemic in vivo electrophysiological
approaches in both basic neuroscience as well as in clinical neurophysiology. In basic …
approaches in both basic neuroscience as well as in clinical neurophysiology. In basic …
Non-restraining EEG radiotelemetry: epidural and deep intracerebral stereotaxic EEG electrode placement
A Papazoglou, A Lundt, C Wormuth… - Journal of …, 2016 - pmc.ncbi.nlm.nih.gov
Implantable EEG radiotelemetry is of central relevance in the neurological characterization
of transgenic mouse models of neuropsychiatric and neurodegenerative diseases as well as …
of transgenic mouse models of neuropsychiatric and neurodegenerative diseases as well as …
FPGA implementation of hardware processing modules as coprocessors in brain-machine interfaces
Real-time computation, portability and flexibility are crucial for practical brain-machine
interface (BMI) applications. In this work, we proposed Hardware Processing Modules …
interface (BMI) applications. In this work, we proposed Hardware Processing Modules …
A custom MPSoC architecture with integrated power management for real-time neural signal decoding
Bioengineering research is posing hard challenges to digital embedded system designers.
Tight real-time constraints, miniaturization, and low power are critical issues exacerbated by …
Tight real-time constraints, miniaturization, and low power are critical issues exacerbated by …
A multi-electrode array coupled with fiberoptic for deep-brain optical neuromodulation and electrical recording
S Guo, H Zhou, J Zhang, K Xu… - 2013 35th Annual …, 2013 - ieeexplore.ieee.org
In this paper we developed an integrated device comprised of a multi-electrode array
coupled with optical fiber for deep-brain optical stimulation and electrical recording. We …
coupled with optical fiber for deep-brain optical stimulation and electrical recording. We …
Sorting and tracking neuronal spikes via simple thresholding
M Aghagolzadeh, A Mohebi… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
A fundamental goal in systems neuroscience is to assess the individual as well as the
synergistic roles of single neurons in a recorded ensemble as they relate to an observed …
synergistic roles of single neurons in a recorded ensemble as they relate to an observed …
以管線化GHA 電路實作棘波分類之硬體架構設計
陳昊 - 臺灣師範大學資訊工程研究所學位論文, 2012 - airitilibrary.com
本論文針對快速棘波分類設計了一套專用的架構, 並於硬體中實現此架構. 本論文採用
Generalized Hebbian Algorithm (GHA) 來擷取棘波的特徵值, 搭配Fuzzy C-Means (FCM) …
Generalized Hebbian Algorithm (GHA) 來擷取棘波的特徵值, 搭配Fuzzy C-Means (FCM) …
應用於棘波分類之硬體架構實現
李偉豪 - 臺灣師範大學資訊工程研究所學位論文, 2012 - airitilibrary.com
本論文針對快速棘波分類設計了一套專用的架構, 並於硬體中實現此架構. 本論文採用
Generalized Hebbian Algorithm (GHA) 來擷取棘波的特徵值, 搭配Fuzzy C-Means (FCM) …
Generalized Hebbian Algorithm (GHA) 來擷取棘波的特徵值, 搭配Fuzzy C-Means (FCM) …