S. B. ERDOĞAN Et Al. , "Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI," JOURNAL OF NEURAL ENGINEERING , vol.16, no.2, 2019
ERDOĞAN, S. B. Et Al. 2019. Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI. JOURNAL OF NEURAL ENGINEERING , vol.16, no.2 .
ERDOĞAN, S. B., Ozsarfati, E., Dilek, B., Kadak, K. S., Hanoglu, L., & AKIN, A., (2019). Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI. JOURNAL OF NEURAL ENGINEERING , vol.16, no.2.
ERDOĞAN, SİNEM Et Al. "Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI," JOURNAL OF NEURAL ENGINEERING , vol.16, no.2, 2019
ERDOĞAN, SİNEM B. Et Al. "Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI." JOURNAL OF NEURAL ENGINEERING , vol.16, no.2, 2019
ERDOĞAN, S. B. Et Al. (2019) . "Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI." JOURNAL OF NEURAL ENGINEERING , vol.16, no.2.
@article{article, author={SİNEM BURCU ERDOĞAN Et Al. }, title={Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI}, journal={JOURNAL OF NEURAL ENGINEERING}, year=2019}