Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Howard ePoizner"'
Publikováno v:
Frontiers in Human Neuroscience, Vol 8 (2014)
Parkinson’s disease is a neurodegenerative disorder defined by motor impairments that include rigidity, systemic slowdown of movement (bradykinesia), postural problems and tremor. While the progressive decline in motor output functions is well docu
Externí odkaz:
https://doaj.org/article/f6b292a4ae6145909b43b85a0b60218e
Autor:
Priya D Velu, Timothy eMullen, Eunho eNoh, Matthew eValdivia, Howard ePoizner, Yoram eBaram, Virginia R de Sa
Publikováno v:
Frontiers in Neurology, Vol 4 (2014)
Freezing of gait (FOG) is an elusive phenomenon that debilitates a large number of Parkinson’s disease (PD) patients regardless of stage of disease, medication status, or DBS implantation. Sensory cues, especially visual feedback cues, have been sh
Externí odkaz:
https://doaj.org/article/04cf587cb20543d0a9f2d2d369cf7944
Autor:
Claudia eLainscsek, Manuel E. Hernandez, Jonathan eWeyhenmeyer, Terrence J Sejnowski, Howard ePoizner
Publikováno v:
Frontiers in Neurology, Vol 4 (2013)
The pathophysiology of Parkinson’s disease (PD) is known to involve altered patterns of neuronal firing and synchronization in cortical-basal ganglia circuits. We used delay differential equations (DDE) as non-linear time-domain classification tool
Externí odkaz:
https://doaj.org/article/c1d3ad03c600467fb550237e826f1a16
Publikováno v:
Frontiers in Neurorobotics, Vol 7 (2013)
Perception of others’ actions supports important social skills, such as communication, intention understanding, and empathy. Are mechanisms of action processing in human brain specifically tuned to process biological agents? Humanoid robots can per
Externí odkaz:
https://doaj.org/article/d288615dabc9477ca6ad9d2f1fdbc487
Non-linear Dynamical Classification of Short Time Series of the Rössler System in High Noise Regimes
Autor:
Claudia eLainscsek, Jonathan eWeyhenmeyer, Manuel E. Hernandez, Howard ePoizner, Terrence J Sejnowski
Publikováno v:
Frontiers in Neurology, Vol 4 (2013)
Time series analysis with delay differential equations (DDEs) reveals nonlinear properties of the underlying dynamical system and can serve as a non-linear time-domain classification tool. Here global DDE models were used to analyze short segments of
Externí odkaz:
https://doaj.org/article/8063211ba57f4ba4945375346b425d0b