Frank, J. A., Antonini, M.-J. & Anikeeva, P. Subsequent-generation interfaces for learning neural perform. Nat. Biotechnol. 37, 1013–1023 (2019).
Machado, T. A., Kauvar, I. V. & Deisseroth, Ok. Multiregion neuronal exercise: the forest and the bushes. Nat. Rev. Neurosci. 23, 683–704 (2022).
Logothetis, N. Ok. et al. Hippocampal–cortical interplay during times of subcortical silence. Nature 491, 547–553 (2012).
Gradinaru, V. et al. Optical deconstruction of parkinsonian neural circuitry. Science 324, 354–359 (2009).
Fernández-Ruiz, A. et al. Gamma rhythm communication between entorhinal cortex and dentate gyrus neuronal assemblies. Science 372, eabf3119 (2021).
Bi, X.-a et al. A novel CERNNE method for predicting Parkinson’s disease-associated genes and mind areas based mostly on multimodal imaging genetics knowledge. Med. Picture Anal. 67, 101830 (2021).
Zhang, D. et al. Multimodal classification of Alzheimer’s illness and delicate cognitive impairment. Neuroimage 55, 856–867 (2011).
Chiarelli, A. M. et al. Deep studying for hybrid EEG-fNIRS mind–laptop interface: utility to motor imagery classification. J. Neural Eng. 15, 036028 (2018).
Halme, H.-L. & Parkkonen, L. Throughout-subject offline decoding of motor imagery from MEG and EEG. Sci. Rep. 8, 10087 (2018).
Liu, X. et al. Decoding of cortex-wide mind exercise from native recordings of neural potentials. J. Neural Eng. 18, 066009 (2021).
Siegle, J. H. et al. Survey of spiking within the mouse visible system reveals useful hierarchy. Nature 592, 86–92 (2021).
Kuzum, D. et al. Clear and versatile low noise graphene electrodes for simultaneous electrophysiology and neuroimaging. Nat. Commun. 5, 5259 (2014).
Park, D.-W. et al. Graphene-based carbon-layered electrode array know-how for neural imaging and optogenetic purposes. Nat. Commun. 5, 5258 (2014).
Thunemann, M. et al. Deep 2-photon imaging and artifact-free optogenetics by way of clear graphene microelectrode arrays. Nat. Commun. 9, 2035 (2018).
Driscoll, N. et al. Multimodal in vivo recording utilizing clear graphene microelectrodes illuminates spatiotemporal seizure dynamics on the microscale. Commun. Biol. 4, 136 (2021).
Park, D.-W. et al. Electrical neural stimulation and simultaneous in vivo monitoring with clear graphene electrode arrays implanted in GCaMP6f mice. ACS Nano 12, 148–157 (2018).
Ledochowitsch, P. et al. A clear μECoG array for simultaneous recording and optogenetic stimulation. In Proc. 2011 Annual Worldwide Convention of the IEEE Engineering in Medication and Biology Society 2937–2940 (IEEE, 2011).
Kwon, Ok. Y. et al. Opto-μECoG array: a hybrid neural interface with clear μECoG electrode array and built-in LEDs for optogenetics. IEEE Trans. Biomed. Circuits Syst. 7, 593–600 (2013).
Kunori, N. & Takashima, I. A clear epidural electrode array to be used at the side of optical imaging. J. Neurosci. Strategies 251, 130–137 (2015).
Ledochowitsch, P. et al. Methods for optical management and simultaneous electrical readout of prolonged cortical circuits. J. Neurosci. Strategies 256, 220–231 (2015).
Zhang, J. et al. Stretchable clear electrode arrays for simultaneous electrical and optical interrogation of neural circuits in vivo. Nano Lett. 18, 2903–2911 (2018).
Chen, Z. et al. Versatile and clear steel nanowire microelectrode arrays and interconnects for electrophysiology, optogenetics, and optical mapping. Adv. Mater. Technol. 6, 2100225 (2021).
Neto, J. P. et al. Clear and versatile electrocorticography electrode arrays based mostly on silver nanowire networks for neural recordings. ACS Appl. Nano Mater. 4, 5737–5747 (2021).
Araki, T. et al. Lengthy‐time period implantable, versatile, and clear neural interface based mostly on Ag/Au core–shell nanowires. Adv. Healthc. Mater. 8, 1900130 (2019).
Search engine optimization, Ok. J. et al. Clear electrophysiology microelectrodes and interconnects from steel nanomesh. ACS Nano 11, 4365–4372 (2017).
Search engine optimization, J. W. et al. Artifact‐free 2D mapping of neural exercise in vivo by way of clear gold nanonetwork array. Adv. Funct. Mater. 30, 2000896 (2020).
Obaid, S. N. et al. Multifunctional versatile biointerfaces for simultaneous colocalized optophysiology and electrophysiology. Adv. Funct. Mater. 30, 1910027 (2020).
Qiang, Y. et al. Clear arrays of bilayer-nanomesh microelectrodes for simultaneous electrophysiology and two-photon imaging within the mind. Sci. Adv. 4, eaat0626 (2018).
Cho, Y. U. et al. Extremely‐low value, facile fabrication of clear neural electrode array for electrocorticography with photoelectric artifact‐free optogenetics. Adv. Funct. Mater. 32, 2105568 (2022).
Yang, W. et al. A totally clear, versatile PEDOT:PSS–ITO–Ag–ITO based mostly microelectrode array for ECoG recording. Lab Chip 21, 1096–1108 (2021).
Kshirsagar, P. et al. Clear graphene/PEDOT:PSS microelectrodes for electro‐ and optophysiology. Adv. Mater. Technol. 4, 1800318 (2019).
Viswam, V. et al. Optimum electrode measurement for multi-scale extracellular-potential recording from neuronal assemblies. Entrance. Neurosci. 13, 385 (2019).
Rogers, N. et al. Correlation construction in micro-ECoG recordings is described by spatially coherent elements. PLoS Comput. Biol. 15, e1006769 (2019).
Harris, Ok. D. et al. Enhancing knowledge high quality in neuronal inhabitants recordings. Nat. Neurosci. 19, 1165–1174 (2016).
Akinwande, D. et al. A evaluate on mechanics and mechanical properties of 2D supplies—graphene and past. Extrem. Mech. Lett. 13, 42–77 (2017).
Kireev, D. et al. Steady cuffless monitoring of arterial blood stress through graphene bioimpedance tattoos. Nat. Nanotechnol. 17, 864–870 (2022).
Sahni, D. et al. Biocompatibility of pristine graphene for neuronal interface. J. Neurosurg. Pediatr. 11, 575–583 (2013).
Liu, X. et al. E-cannula reveals anatomical variety in sharp-wave ripples as a driver for the recruitment of distinct hippocampal assemblies. Cell Rep. 41, 111453 (2022).
Ding, D. et al. Analysis of sturdiness of clear graphene electrodes fabricated on totally different versatile substrates for continual in vivo experiments. IEEE Trans. Biomed. Eng. 67, 3203–3210 (2020).
Wilson, M. N. et al. Multimodal monitoring of human cortical organoids implanted in mice reveal useful reference to visible cortex. Nat. Commun. 13, 7945 (2022).
Bonaccini Calia, A. et al. Full-bandwidth electrophysiology of seizures and epileptiform exercise enabled by versatile graphene microtransistor depth neural probes. Nat. Nanotechnol. 17, 301–309 (2022).
Masvidal-Codina, E. et al. Excessive-resolution mapping of infraslow cortical mind exercise enabled by graphene microtransistors. Nat. Mater. 18, 280–288 (2019).
Lu, Y. et al. Ultralow impedance graphene microelectrodes with excessive optical transparency for simultaneous deep two‐photon imaging in transgenic mice. Adv. Funct. Mater. 28, 1800002 (2018).
Xia, J. et al. Measurement of the quantum capacitance of graphene. Nat. Nanotechnol. 4, 505–509 (2009).
Liu, X. et al. Multimodal neural recordings with Neuro-FITM uncover numerous patterns of cortical–hippocampal interactions. Nat. Neurosci. 24, 886–896 (2021).
Łęski, S. et al. Frequency dependence of sign energy and spatial attain of the native discipline potential. PLoS Comput. Biol. 9, e1003137 (2013).
Myers, J. C. et al. The spatial attain of neuronal coherence and spike-field coupling throughout the human neocortex. J. Neurosci. 42, 6285–6294 (2022).
Liu, X. et al. Decoding ECoG excessive gamma energy from mobile calcium response utilizing clear graphene microelectrodes. In Proc. 2019 ninth Worldwide IEEE/EMBS Convention on Neural Engineering (NER) 710–713 (IEEE, 2019).
Gallego, J. A. et al. Neural manifolds for the management of motion. Neuron 94, 978–984 (2017).
Elsayed, G. F. et al. Reorganization between preparatory and motion inhabitants responses in motor cortex. Nat. Commun. 7, 13239 (2016).
Stringer, C. et al. Spontaneous behaviors drive multidimensional, brainwide exercise. Science 364, eaav7893 (2019).
Okun, M. et al. Various coupling of neurons to populations in sensory cortex. Nature 521, 511–515 (2015).
Stringer, C. et al. Excessive-dimensional geometry of inhabitants responses in visible cortex. Nature 571, 361–365 (2019).
Lin, M. Z. & Schnitzer, M. J. Genetically encoded indicators of neuronal exercise. Nat. Neurosci. 19, 1142–1153 (2016).
Zhang, D. et al. Coping with the overseas‐physique response to implanted biomaterials: methods and purposes of recent supplies. Adv. Funct. Mater. 31, 2007226 (2021).
Carnicer-Lombarte, A. et al. International physique response to implanted biomaterials and its affect in nerve neuroprosthetics. Entrance. Bioeng. Biotechnol. 9, 271 (2021).
Salatino, J. W. et al. Glial responses to implanted electrodes within the mind. Nat. Biomed. Eng. 1, 862–877 (2017).
Wang, Y. et al. Electrochemical delamination of CVD-grown graphene movie: towards the recyclable use of copper catalyst. ACS Nano 5, 9927–9933 (2011).
Brug, G. et al. The evaluation of electrode impedances sophisticated by the presence of a continuing part component. J. Electroanal. Chem. Interfacial Electrochem. 176, 275–295 (1984).
Mayford, M. et al. Management of reminiscence formation by way of regulated expression of a CaMKII transgene. Science 274, 1678–1683 (1996).
Wekselblatt, J. B. et al. Giant-scale imaging of cortical dynamics throughout sensory notion and habits. J. Neurophysiol. 115, 2852–2866 (2016).
Mitani, A. & Komiyama, T. Actual-time processing of two-photon calcium imaging knowledge together with lateral movement artifact correction. Entrance. Neuroinform. 12, 98 (2018).
Pachitariu, M. et al. Suite2p: past 10,000 neurons with normal two-photon microscopy. Preprint at bioRxiv https://doi.org/10.1101/061507 (2016).
Yu, B. M. et al. Gaussian-process issue evaluation for low-dimensional single-trial evaluation of neural inhabitants exercise. in Advances in Neural Data Processing Methods Vol. 21 (Curran Associates, 2008).
