Multi-electrode array technologies for neuroscience and cardiology.
By M. Spira, Aviad Hai. Nature Nanotechnology, 2013
986 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/194a7f5e49d26d6f0e6c1d23409ce1af8f0739f2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Lief Ericsson Fenno
- Karl Deisseroth
- T. Bullmann
- Marie Engelene J. Obien
- Urs Frey
- George G. Malliaras
- Douglas J. Bakkum
- Zhigang Suo
In Cognitive Neuroscience
- Lief Ericsson Fenno
- Karl Deisseroth
- T. Bullmann
- Johannes Berg
- Riccardo Zecchina
- Marie Engelene J. Obien
- Urs Frey
- Douglas J. Bakkum
Citations in the corpus
- Revealing neuronal function through microelectrode array recordings (2015, positive): “Recently, ultra-small electrodes are being developed to record intracellular activity, including subthreshold signals, as reviewed in Spira and Hai (2013).”
- Inverse statistical problems: from the inverse Ising problem to data science (2017, background): “Multi-electrodes were developed, allowing to record multiple simultaneous neural signals independently over long time periods [163, 209].”
- Biology-inspired Microphysiological System Approaches to Solve the Prediction Dilemma of Substance Testing (2016, neutral): “Several reviews have summarized the current status of technologies for electrical coupling of neuronal and cardiac cell cultures to record physiological signals and stimulate the cells (Gosselin, 2011; Hierlemann et al., 2011; Simmons et al., 2012; Spira and Hai, 2013).”
- Stretchable, Transparent, Ionic Conductors (2013, background): “Examples of applications include electrode arrays, where the electronics of medical instruments meet the ionics of tissues and cells ( 1 ), and brain-machine interfaces, through which cortical ionic impulses control prosthetic arms ( 2 ).”
- Next-generation probes, particles, and proteins for neural interfacing (2017, background): “However, significant challenges to implementation exist, including the placement, micromotion, and wiring of individual nanowires to external recording/stimulation systems (86, 87).”