Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Depan, D.
and
Misra, R. D. K.
2014.
The development, characterization, and cellular response of a novel electroactive nanostructured composite for electrical stimulation of neural cells.
Biomater. Sci.,
Vol. 2,
Issue. 12,
p.
1727.
Hébert, Clément
Warnking, Jan
Depaulis, Antoine
Garçon, Laurie Amandine
Mermoux, Michel
Eon, David
Mailley, Pascal
and
Omnès, Franck
2015.
Microfabrication, characterization and in vivo MRI compatibility of diamond microelectrodes array for neural interfacing.
Materials Science and Engineering: C,
Vol. 46,
Issue. ,
p.
25.
Jorfi, Mehdi
Skousen, John L
Weder, Christoph
and
Capadona, Jeffrey R
2015.
Progress towards biocompatible intracortical microelectrodes for neural interfacing applications.
Journal of Neural Engineering,
Vol. 12,
Issue. 1,
p.
011001.
Jeong, Jae-Woong
Shin, Gunchul
Park, Sung Il
Yu, Ki Jun
Xu, Lizhi
and
Rogers, John A.
2015.
Soft Materials in Neuroengineering for Hard Problems in Neuroscience.
Neuron,
Vol. 86,
Issue. 1,
p.
175.
Shen, Wen
Karumbaiah, Lohitash
Liu, Xi
Saxena, Tarun
Chen, Shuodan
Patkar, Radhika
Bellamkonda, Ravi V.
and
Allen, Mark G.
2015.
Extracellular matrix-based intracortical microelectrodes: Toward a microfabricated neural interface based on natural materials.
Microsystems & Nanoengineering,
Vol. 1,
Issue. 1,
Xiao, Hengyang
Zhang, Min
Xiao, Yinghong
and
Che, Jianfei
2015.
A feasible way for the fabrication of single walled carbon nanotube/polypyrrole composite film with controlled pore size for neural interface.
Colloids and Surfaces B: Biointerfaces,
Vol. 126,
Issue. ,
p.
138.
Hébert, Clément
Ruffinatto, Sébastien
and
Bergonzo, Philippe
2015.
Carbon for Sensing Devices.
p.
227.
Guo, Liang
2016.
The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective.
Frontiers in Neuroscience,
Vol. 10,
Issue. ,
Wellman, Steven M.
Eles, James R.
Ludwig, Kip A.
Seymour, John P.
Michelson, Nicholas J.
McFadden, William E.
Vazquez, Alberto L.
and
Kozai, Takashi D. Y.
2018.
A Materials Roadmap to Functional Neural Interface Design.
Advanced Functional Materials,
Vol. 28,
Issue. 12,
Neto, Joana P.
Baião, Pedro
Lopes, Gonçalo
Frazão, João
Nogueira, Joana
Fortunato, Elvira
Barquinha, Pedro
and
Kampff, Adam R.
2018.
Does Impedance Matter When Recording Spikes With Polytrodes?.
Frontiers in Neuroscience,
Vol. 12,
Issue. ,
Adewole, Dayo O.
Serruya, Mijail D.
Wolf, John A.
and
Cullen, D. Kacy
2019.
Bioactive Neuroelectronic Interfaces.
Frontiers in Neuroscience,
Vol. 13,
Issue. ,
de la Oliva, N.
del Valle, J.
Delgado-Martinez, I.
Mueller, M.
Stieglitz, T.
and
Navarro, Xavier
2019.
Long-Term Functionality of Transversal Intraneural Electrodes is Improved by Dexamethasone Treatment.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
Vol. 27,
Issue. 3,
p.
457.
Sung, Changhoon
Jeon, Woojin
Nam, Kum Seok
Kim, Yeji
Butt, Haider
and
Park, Seongjun
2020.
Multimaterial and multifunctional neural interfaces: from surface-type and implantable electrodes to fiber-based devices.
Journal of Materials Chemistry B,
Vol. 8,
Issue. 31,
p.
6624.
Woods, Grace A.
Rommelfanger, Nicholas J.
and
Hong, Guosong
2020.
Bioinspired Materials for In Vivo Bioelectronic Neural Interfaces.
Matter,
Vol. 3,
Issue. 4,
p.
1087.
Gong, Xiao-Ting
Xie, Wenguang
Cao, Jing-Jing
Zhang, Shengxiang
Pu, Kanyi
and
Zhang, Hao-Li
2020.
NIR-emitting semiconducting polymer nanoparticles for in vivo two-photon vascular imaging.
Biomaterials Science,
Vol. 8,
Issue. 9,
p.
2666.
Redolfi Riva, Eugenio
and
Micera, Silvestro
2021.
Progress and challenges of implantable neural interfaces based on nature-derived materials.
Bioelectronic Medicine,
Vol. 7,
Issue. 1,
McGlynn, Eve
Nabaei, Vahid
Ren, Elisa
Galeote‐Checa, Gabriel
Das, Rupam
Curia, Giulia
and
Heidari, Hadi
2021.
The Future of Neuroscience: Flexible and Wireless Implantable Neural Electronics.
Advanced Science,
Vol. 8,
Issue. 10,
Vallejo-Giraldo, Catalina
Krukiewicz, Katarzyna
and
Biggs, Manus Jonathan Paul
2022.
Understanding the Mechanobiology of Gliosis May Be the Key to Unlocking Sustained Chronic Performance of Bioelectronic Neural Interfaces.
Advanced NanoBiomed Research,
Vol. 2,
Issue. 3,