Novel electrode technologies for neural recordings

Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex

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Neurophysiological investigation of the basis of the fMRI signal

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The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat

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Nanowire Nanosensors for Highly Sensitive and Selective Detection of Biological and Chemical Species

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Receptive fields of single neurones in the cat's striate cortex

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The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes

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Microstructure of a spatial map in the entorhinal cortex

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Theta oscillations in the hippocampus

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Neuronal ensemble control of prosthetic devices by a human with tetraplegia

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Near-infrared fluorophores for biomedical imaging

Hong, G., Antaris, A. L., & Dai, H. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-016-0010 · Cited by 3,048

Fully integrated silicon probes for high-density recording of neural activity

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The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding

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The organization of recent and remote memories

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Invariant visual representation by single neurons in the human brain

Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., & Fried, I. (2005) · Nature · doi:10.1038/nature03687 · Cited by 1,988

Response of brain tissue to chronically implanted neural electrodes

Polikov, V. S., Tresco, P. A., & Reichert, W. M. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.08.015 · Cited by 1,896

Large-scale recording of neuronal ensembles

Buzsáki, G. (2004) · Nature Neuroscience · doi:10.1038/nn1233 · Cited by 1,875

Neural plasticity in the ageing brain

Burke, S. N., & Barnes, C. A. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1809 · Cited by 1,707

Stimulus-selective properties of inferior temporal neurons in the macaque

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Optogenetics: 10 years of microbial opsins in neuroscience

Deisseroth, K. A. (2015) · Nature Neuroscience · doi:10.1038/nn.4091 · Cited by 1,335

Neuronal correlates of a perceptual decision

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Injectable, Cellular-Scale Optoelectronics with Applications for Wireless Optogenetics

Kim, T.-I., McCall, J. G., Jung, Y. H., Huang, X., Siuda, E. R., Li, Y., Song, J., Song, Y. M., Pao, H. A., Kim, R.-H., et al. (2013) · Science · doi:10.1126/science.1232437 · Cited by 1,174

Accuracy of Tetrode Spike Separation as Determined by Simultaneous Intracellular and Extracellular Measurements

Harris, K. D., Henze, D. A., Csicsvari, J. L., Hirase, H., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.401 · Cited by 1,153

Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo

Viventi, J., Kim, D.-H., Vigeland, L., Frechette, E. S., Blanco, J. A., Kim, Y.-S., Avrin, A. E., Tiruvadi, V. R., Hwang, S.-W., Vanleer, A. C., et al. (2011) · Nature Neuroscience · doi:10.1038/nn.2973 · Cited by 1,136

Electronic dura mater for long-term multimodal neural interfaces

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In vivo recordings of brain activity using organic transistors

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Emerging roles of astrocytes in neural circuit development

Clarke, L. E., & Barres, B. A. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3484 · Cited by 975

The ageing cortical synapse: hallmarks and implications for cognitive decline

Morrison, J. H., & Baxter, M. G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3200 · Cited by 965

Intracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo

Henze, D. A., Borhegyi, Z., Csicsvari, J., Mamiya, A., Harris, K. D., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.390 · Cited by 942

NeuroGrid: recording action potentials from the surface of the brain

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Characterization of Neocortical Principal Cells and Interneurons by Network Interactions and Extracellular Features

Barthó, P., Hirase, H., Monconduit, L., Zugaro, M., Harris, K. D., & Buzsáki, G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01170.2003 · Cited by 912

Tungsten Microelectrode for Recording from Single Units

Hubel, D. H. (1957) · Science · doi:10.1126/science.125.3247.549 · Cited by 864

Communication dynamics in complex brain networks

Avena-Koenigsberger, A., Misic, B., & Sporns, O. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.149 · Cited by 856

Detection, stimulation, and inhibition of neuronal signals with high-density nanowire transistor arrays.

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Regulation of synaptic connectivity by glia.

Eroglu, C., & Barres, B. A. (2010) · Nature · doi:10.1038/nature09612 · Cited by 813

From the neuron doctrine to neural networks

Yuste, R. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3962 · Cited by 802

Spike sorting for large, dense electrode arrays

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Three-Dimensional, Flexible Nanoscale Field-Effect Transistors as Localized Bioprobes

Tian, B., Cohen‐Karni, T., Qing, Q., Duan, X., Xie, P., & Lieber, C. M. (2010) · Science · doi:10.1126/science.1192033 · Cited by 798

Soft, stretchable, fully implantable miniaturized optoelectronic systems for wireless optogenetics

Park, S. I., Brenner, D. S., Shin, G., Morgan, C. D., Copits, B. A., Chung, H. U., Pullen, M. Y., Noh, K. N., Davidson, S., Oh, S. J., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3415 · Cited by 794

All-optical electrophysiology in mammalian neurons using engineered microbial rhodopsins

Hochbaum, D. R., Zhao, Y., Farhi, S. L., Klapoetke, N. C., Werley, C. A., Kapoor, V., Zou, P., Kralj, J. M., Maclaurin, D., Smedemark-Margulies, N., et al. (2014) · Nature Methods · doi:10.1038/nmeth.3000 · Cited by 782

Tetrodes markedly improve the reliability and yield of multiple single-unit isolation from multi-unit recordings in cat striate cortex

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Materials and technologies for soft implantable neuroprostheses

Lacour, S. P., Courtine, G., & Guck, J. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.63 · Cited by 738

Ultrasmall implantable composite microelectrodes with bioactive surfaces for chronic neural interfaces

Kozai, T. D. Y., Langhals, N. B., Patel, P. R., Deng, X., Zhang, H., Smith, K. L., Lahann, J., Kotov, N. A., & Kipke, D. R. (2012) · Nature Materials · doi:10.1038/nmat3468 · Cited by 721

Action Potentials Recorded from Inside a Nerve Fibre

Hodgkin, A. L., & Huxley, A. F. (1939) · Nature · doi:10.1038/144710a0 · Cited by 690

Syringe-injectable electronics

Liu, J., Fu, T.-M., Cheng, Z., Hong, G., Zhou, T., Jin, L., Duvvuri, M., Jiang, Z., Kruskal, P., Xie, C., et al. (2015) · Nature Nanotechnology · doi:10.1038/nnano.2015.115 · Cited by 687

Multifunctional fibers for simultaneous optical, electrical and chemical interrogation of neural circuits in vivo

Canales, A., Jia, X., Froriep, U. P., Koppes, R. A., Tringides, C. M., Selvidge, J., Lu, C., Hou, C., Wei, L., Fink, Y., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3093 · Cited by 668

Genetically encoded indicators of neuronal activity

Lin, M. Z., & Schnitzer, M. J. (2016) · Nature Neuroscience · doi:10.1038/nn.4359 · Cited by 660

Neural recording and modulation technologies

Chen, R., Canales, A., & Anikeeva, P. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.93 · Cited by 655

Flexible polyimide-based intracortical electrode arrays with bioactive capability

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Macroporous Nanowire Nanoelectronic Scaffolds for Synthetic Tissues

Jia Liu, B., Dvir, T., Jin, L., Tsui, J. H., Qing, Q., Suo, Z., Langer, R., Kohane, D. S., Lieber, C. M., & Tian, B. (2012) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 642

Quantitative measures of cluster quality for use in extracellular recordings

Schmitzer-Torbert, N. C., Jackson, J. C., Henze, D. A., Harris, K., & Redish, A. D. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2004.09.066 · Cited by 642

Glial responses to implanted electrodes in the brain

Salatino, J. W., Ludwig, K. A., Kozai, T. D. Y., & Purcell, E. K. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0154-1 · Cited by 642

Nano-Bioelectronics

Zhang, A., & Lieber, C. M. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00608 · Cited by 642

Ultraflexible nanoelectronic probes form reliable, glial scar–free neural integration

Luan, L., Wei, X., Zhao, Z., Siegel, J. J., Potnis, O., Tuppen, C. A., Lin, S. Q., Kazmi, S., Fowler, R. A., Holloway, S., et al. (2017) · Science Advances · doi:10.1126/sciadv.1601966 · Cited by 628

VSDI: a new era in functional imaging of cortical dynamics

Grinvald, A., & Hildesheim, R. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1536 · Cited by 618

Tissue–electronics interfaces: from implantable devices to engineered tissues

Feiner, R., & Dvir, T. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.76 · Cited by 595

How advances in neural recording affect data analysis

Stevenson, I. H., & Kording, K. P. (2011) · Nature Neuroscience · doi:10.1038/nn.2731 · Cited by 590

On the Origin of the Extracellular Action Potential Waveform: A Modeling Study

Gold, C., Henze, D. A., Christof Koch, A., & Buzsáki, G. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00979.2005 · Cited by 587

The stereotrode: A new technique for simultaneous isolation of several single units in the central nervous system from multiple unit records

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Wirelessly powered, fully internal optogenetics for brain, spinal and peripheral circuits in mice

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Spatial representation in the hippocampal formation: a history

Moser, E. I., Moser, M.-B., & McNaughton, B. L. (2017) · Nature Neuroscience · doi:10.1038/nn.4653 · Cited by 560

Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust

Seo, D., Neely, R. M., Shen, K., Singhal, U., Alon, E., Rabaey, J. M., Carmena, J. M., & Maharbiz, M. M. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.034 · Cited by 557

An Integrated-Circuit Approach to Extracellular Microelectrodes

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Advances in multiphoton microscopy technology

Hoover, E. E., & Squier, J. A. (2013) · Nature Photonics · doi:10.1038/nphoton.2012.361 · Cited by 542

History, Applications, and Mechanisms of Deep Brain Stimulation

Miocinovic, S., Somayajula, S., Chitnis, S., & Vitek, J. L. (2013) · JAMA Neurology · doi:10.1001/2013.jamaneurol.45 · Cited by 496

Neuronal basis of age-related working memory decline

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Chronic Neural Recording Using Silicon-Substrate Microelectrode Arrays Implanted in Cerebral Cortex

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Encoding of fear learning and memory in distributed neuronal circuits

Herry, C., & Johansen, J. P. (2014) · Nature Neuroscience · doi:10.1038/nn.3869 · Cited by 474

The mechanobiology of brain function

Tyler, W. J. (2012) · Nature reviews. Neuroscience · doi:10.1038/nrn3383 · Cited by 434

Monolithically Integrated μLEDs on Silicon Neural Probes for High-Resolution Optogenetic Studies in Behaving Animals

Wu, F., Stark, E., Ku, P.-C., Wise, K. D., Buzsáki, G., & Yoon, E. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.032 · Cited by 431

Direct electrical stimulation of human cortex — the gold standard for mapping brain functions?

Borchers, S., Himmelbach, M., Logothetis, N. K., & Karnath, H. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3140 · Cited by 425

In vivo imaging of neural activity

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Three-dimensional macroporous nanoelectronic networks as minimally invasive brain probes

Xie, C., Liu, J., Fu, T.-M., Dai, X., Zhou, W., & Lieber, C. M. (2015) · Nature Materials · doi:10.1038/nmat4427 · Cited by 404

Closed-Loop and Activity-Guided Optogenetic Control

Grosenick, L., Marshel, J. H., & Deisseroth, K. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.034 · Cited by 399

Responses of midbrain dopamine neurons to behavioral trigger stimuli in the monkey

Schultz, W. (1986) · Journal of Neurophysiology · doi:10.1152/jn.1986.56.5.1439 · Cited by 390

Optetrode: a multichannel readout for optogenetic control in freely moving mice

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One-step optogenetics with multifunctional flexible polymer fibers

Park, S., Guo, Y., Jia, X., Choe, H. K., Grena, B. J.-B., Kang, J., Park, J., Lu, C., Canales, A., Chen, R., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4510 · Cited by 377

Insights into the mechanisms of deep brain stimulation

Ashkan, K., Rogers, P., Bergman, H., & Ughratdar, I. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.105 · Cited by 365

Targeting neurons and photons for optogenetics

Packer, A. M., Roska, B., & Häusser, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3427 · Cited by 359

Learning-enhanced coupling between ripple oscillations in association cortices and hippocampus

Khodagholy, D., Gelinas, J. N., & Buzsáki, G. (2017) · Science · doi:10.1126/science.aan6203 · Cited by 357

Challenges and opportunities for large-scale electrophysiology with Neuropixels probes

Steinmetz, N. A., Koch, C., Harris, K. D., & Carandini, M. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.01.009 · Cited by 351

Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex

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Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys

Schwarz, D. A., Lebedev, M., Hanson, T., Dimitrov, D. F., Lehew, G., Meloy, J., Rajangam, S., Subramanian, V., Ifft, P. J., Li, Z., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2936 · Cited by 348

High-Density, Long-Lasting, and Multi-region Electrophysiological Recordings Using Polymer Electrode Arrays

Chung, J. E., Joo, H. R., Fan, J. L., Liu, D. F., Barnett, A. H., Chen, S., Geaghan-Breiner, C., Karlsson, M. P., Karlsson, M., Lee, K. Y., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.11.002 · Cited by 339

A theory of multineuronal dimensionality, dynamics and measurement

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Stable long-term chronic brain mapping at the single-neuron level

Tian-ming Fu, B., Hong, G., Zhou, T., Schuhmann, T. G., Viveros, R. D., & Lieber, C. M. (2016) · Nature Methods · doi:10.1038/nmeth.3969 · Cited by 330

Science and research policy at the end of Moore’s law

Khan, H., Hounshell, D. A., & Fuchs, E. R. H. (2017) · Nature Electronics · doi:10.1038/s41928-017-0005-9 · Cited by 322

Electrical Signs of Nervous Activity

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Progress and challenges in probing the human brain

Poldrack, R. A., & Farah, M. J. (2015) · Nature · doi:10.1038/nature15692 · Cited by 285

Biomechanical analysis of silicon microelectrode-induced strain in the brain

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Technologies for imaging neural activity in large volumes

Ji, N., Freeman, J., & Smith, S. L. (2016) · Nature Neuroscience · doi:10.1038/nn.4358 · Cited by 277

Spatial cognition in bats and rats: from sensory acquisition to multiscale maps and navigation

Geva‐Sagiv, M., Las, L., Yovel, Y., & Ulanovsky, N. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3888 · Cited by 273

Physical Principles for Scalable Neural Recording

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Improving data quality in neuronal population recordings

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Aloysii Galvani De viribus electricitatis in motu musculari commentarius

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Diode probes for spatiotemporal optical control of multiple neurons in freely moving animals

Stark, E., Koós, T. Z., & Buzsáki, G. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00153.2012 · Cited by 252

The BRAIN Initiative: developing technology to catalyse neuroscience discovery

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Multi‐array silicon probes with integrated optical fibers: light‐assisted perturbation and recording of local neural circuits in the behaving animal

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Single-Unit Stability Using Chronically Implanted Multielectrode Arrays

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Syringe-injectable mesh electronics integrate seamlessly with minimal chronic immune response in the brain

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A carbon-fiber electrode array for long-term neural recording

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Flexible and stretchable nanowire-coated fibers for optoelectronic probing of spinal cord circuits

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Closed-Loop Neuroscience and Non-Invasive Brain Stimulation: A Tale of Two Loops

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Nanowire transistor arrays for mapping neural circuits in acute brain slices

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Close-Packed Silicon Microelectrodes for Scalable Spatially Oversampled Neural Recording

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