Polytrodes: High-Density Silicon Electrode Arrays for Large-Scale Multiunit Recording

On the generalized distance in statistics

Mahalanobis, P. C. (1936) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 6,068

Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs

Markram, H., Lübke, J., Frotscher, M., & Sakmann, B. (1997) · Science · doi:10.1126/science.275.5297.213 · Cited by 3,832

Interneurons of the hippocampus

Freund, T. F., & Buzsáki, G. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1996)6:4 · Cited by 3,478

Numerical recipes in FORTRAN: the art of scientific computing

(1993) · Choice Reviews Online · doi:10.5860/choice.30-5638a · Cited by 2,500

Dynamics of the Hippocampal Ensemble Code for Space

Wilson, M. A., & McNaughton, B. L. (1993) · Science · doi:10.1126/science.8351520 · Cited by 2,350

Large-scale recording of neuronal ensembles

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

The Computational Brain

Churchland, P. S., & Sejnowski, T. J. (1992) · doi:10.7551/mitpress/2010.001.0001 · Cited by 1,757

Current source-density method and application in cat cerebral cortex: investigation of evoked potentials and EEG phenomena

Mitzdorf, U. (1985) · Physiological Reviews · doi:10.1152/physrev.1985.65.1.37 · Cited by 1,690

A Synaptically Controlled, Associative Signal for Hebbian Plasticity in Hippocampal Neurons

Magee, J. C., & Johnston, D. (1997) · Science · doi:10.1126/science.275.5297.209 · Cited by 1,340

High-frequency network oscillation in the hippocampus

Buzsáki, G., Horváth, Z., Urioste, R., Hetke, J. F., & Wise, K. D. (1992) · Science · doi:10.1126/science.1589772 · Cited by 1,223

Unsupervised neural spike sorting for high-density microelectrode arrays with convolutive independent component analysis

Leibig, C., Wächtler, T., & Zeck, G. M. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.06.006 · Cited by 38

Advances in Two-Photon Scanning and Scanless Microscopy Technologies for Functional Neural Circuit Imaging

Schultz, S. R., Copeland, C. S., Foust, A. J., Quicke, P., & Schuck, R. (2016) · Proceedings of the IEEE · doi:10.1109/jproc.2016.2577380 · Cited by 38

Toward Nontransient Silk Bioelectronics: Engineering Silk Fibroin for Bionic Links

Patil, A. C., Xiong, Z., & Thakor, N. V. (2020) · Small Methods · doi:10.1002/smtd.202000274 · Cited by 37

Python for large-scale electrophysiology

Spacek, M. A. (2008) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.009.2008 · Cited by 37

Neural electrodes for brain‐computer interface system: From rigid to soft

Yang, D., Tian, G., Chen, J., Liu, Y., Fatima, E., Qiu, J., Malek, N. A. N. N., & Qi, D. (2025) · BMEMat · doi:10.1002/bmm2.12130 · Cited by 37

How does the presence of neural probes affect extracellular potentials?

Buccino, A. P., Kuchta, M., Jæger, K. H., Ness, T. V., Berthet, P., Mardal, K., Cauwenberghs, G., & Tveito, A. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab03a1 · Cited by 35

Spatial Information Based OSort for Real-Time Spike Sorting Using FPGA

Schäffer, L., Nagy, Z., Kincses, Z., Fiáth, R., & Ulbert, I. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.2996281 · Cited by 35

Microfabricated intracortical extracellular matrix-microelectrodes for improving neural interfaces

Shen, W., Das, S., Vitale, F., Richardson, A. G., Ananthakrishnan, A., Struzyna, L. A., Brown, D. P., Song, N., Ramkumar, M., Lucas, T. H., et al. (2018) · Microsystems & Nanoengineering · doi:10.1038/s41378-018-0030-5 · Cited by 37

Accurate action potential inference from a calcium sensor protein through biophysical modeling:Preprint

Greenberg, D. S., Wallace, D. J., Voit, K.-M., Wuertenberger, S., Czubayko, U., Monsees, A., Handa, T., Vogelstein, J. T., Seifert, R., Groemping, Y., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/479055 · Cited by 34

Multichannel Silicon Probes for Awake Hippocampal Recordings in Large Animals

Ulyanova, A. V., Cottone, C., Adam, C. D., Gagnon, K. G., Cullen, D. K., Holtzman, T., Jamieson, B. G., Koch, P. F., Chen, H., Johnson, V. E., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00397 · Cited by 33

Compatibility Evaluation of Clustering Algorithms for Contemporary Extracellular Neural Spike Sorting

Veerabhadrappa, R., Hassan, M. U., Zhang, J., & Bhatti, A. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.00034 · Cited by 33

Compressive Multiplexing of Correlated Signals

Ahmed, A. M., & Romberg, J. (2014) · IEEE Transactions on Information Theory · doi:10.1109/tit.2014.2366459 · Cited by 32

Large-scale recording of thalamocortical circuits: in vivo electrophysiology with the two-dimensional electronic depth control silicon probe

Fiáth, R., Beregszászi, P., Horváth, D., Wittner, L., Aarts, A. A. A., Ruther, P., Neves, H. P., Bokor, H., Acsády, L., & Ulbert, I. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00318.2016 · Cited by 32

Classification of EEG abnormalities in partial epilepsy with simultaneous EEG–fMRI recordings

Pedreira, C., Vaudano, A. E., Thornton, R. C., Chaudhary, U. J., Vulliémoz, S., Laufs, H., Rodionov, R., Carmichael, D. W., Lhatoo, S. D., Guye, M., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.009 · Cited by 31

CMOS Neural Probe With 1600 Close-Packed Recording Sites and 32 Analog Output Channels

Herbawi, A. S., Christ, O., Kiessner, L., Mottaghi, S., Hofmann, U., Paul, O., & Ruther, P. (2018) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2018.2872619 · Cited by 30

In Situ Real-Time Monitoring of Glutamate and Electrophysiology from Cortex to Hippocampus in Mice Based on a Microelectrode Array

Fan, X., Song, Y., Ma, Y., Zhang, S., Xiao, G., Yang, L., Xu, H., Zhang, D., & Cai, X. (2016) · Sensors · doi:10.3390/s17010061 · Cited by 30

Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability

Allen, B. D., Moore-Kochlacs, C., Bernstein, J. G., Kinney, J. P., Scholvin, J., Seoane, L. F., Chronopoulos, C., Lamantia, C., Kodandaramaiah, S. B., Tegmark, M., et al. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00650.2017 · Cited by 29

Large-Scale Synchronized Activity during Vocal Deviance Detection in the Zebra Finch Auditory Forebrain

Beckers, G. J. L., & Gahr, M. L. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6045-11.2012 · Cited by 28

Sub 100 nW Volatile Nano-Metal-Oxide Memristor as Synaptic-Like Encoder of Neuronal Spikes

Gupta, I., Serb, A., Khiat, A., Zeitler, R., Vassanelli, S., & Prodromakis, T. (2018) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2797939 · Cited by 26

Neural Processing of Short-Term Recurrence in Songbird Vocal Communication

Beckers, G. J. L., & Gahr, M. L. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011129 · Cited by 27

Investigation of the photoelectrochemical effect in optoelectrodes and potential uses for implantable electrode characterization

Khurram, A., & Seymour, J. P. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6610179 · Cited by 26

In vivo characterization of the electrophysiological and astrocytic responses to a silicon neuroprobe implanted in the mouse neocortex

Mols, K., Musa, S., Nuttin, B., Lagae, L., & Bonin, V. (2017) · Scientific Reports · doi:10.1038/s41598-017-15121-1 · Cited by 26

CMOS-Based High-Density Silicon Microprobe Array for Electronic Depth Control in Neural Recording

Seidl, K., Herwik, S., Nurcahyo, Y., Torfs, T., Keller, M., Schüettler, M., Neves, H. P., Stieglitz, T., Paul, O., & Ruther, P. (2009) · IEEE International Conference on Micro Electro Mechanical Systems (MEMS) · doi:10.1109/memsys.2009.4805361 · Cited by 25

A multi-shank silk-backed parylene neural probe for reliable chronic recording

Wu, F., Tien, L., Chen, F., Kaplan, D., Berke, J., & Yoon, E. (2013) · 2013 Transducers & Eurosensors XXVII: The 17th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS & EUROSENSORS XXVII) · doi:10.1109/transducers.2013.6626910 · Cited by 24

Novel four-sided neural probe fabricated by a thermal lamination process of polymer films

Shin, S., Kim, J., Jeong, J., Gwon, T. M., Lee, S., & Kim, S. J. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.12.017 · Cited by 24

Interfacing Neurons with Nanostructured Electrodes Modulates Synaptic Circuit Features

Dominguez, A. L., Rodilla, B. L., Calaresu, I., Arché‐Núñez, A., González‐Mayorga, A., Scaini, D., Pérez, L., Camarero, J., Miranda, R., López‐Dolado, E., et al. (2020) · Advanced Biosystems · doi:10.1002/adbi.202000117 · Cited by 23

Intracranial neuronal ensemble recordings and analysis in epilepsy

Tóth, E., Fabó, D., Entz, L., Ulbert, I., & Erőss, L. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.09.028 · Cited by 23

Spike detection methods for polytrodes and high density microelectrode arrays

Swindale, N. V., & Spacek, M. A. (2014) · Journal of Computational Neuroscience · doi:10.1007/s10827-014-0539-z · Cited by 23

3-D Flexible Nano-Textured High-Density Microelectrode Arrays for High-Performance Neuro-Monitoring and Neuro-Stimulation

Gabran, S. R. I., Salam, M. T., Dian, J. A., El-Hayek, Y. H., Velázquez, J. L. P., Genov, R., Carlen, P. L., Salama, M. M. A., & Mansour, R. R. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2322077 · Cited by 23

Neuronal ‘Ensemble’ Recording and the Search for the Cell Assembly: A Personal History

McNaughton, B. L. (2024) · Hippocampus · doi:10.1002/hipo.23669 · Cited by 22

Why not record from every electrode with a CMOS scanning probe?Preprint

Dimitriadis, G., Neto, J. P., Aarts, A. A. A., Andrei, A., Ballini, M., Battaglia, F. P., Calcaterra, L., Chen, S., David, F., Fiáth, R., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/275818 · Cited by 23

Lamina‐specific population encoding of cutaneous signals in the spinal dorsal horn using multi‐electrode arrays

Greenspon, C. M., Battell, E. E., Devonshire, I. M., Donaldson, L. F., Chapman, V., & Hathway, G. J. (2018) · The Journal of Physiology · doi:10.1113/jp277036 · Cited by 26

Penetrating multichannel stimulation and recording electrodes in auditory prosthesis research

Anderson, D. J. (2008) · Hearing Research · doi:10.1016/j.heares.2008.01.010 · Cited by 20

Magnitude and behavior of cross-talk effects in multichannel electrophysiology experiments

Nelson, M. J., Valtcheva, S., & Venance, L. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00877.2016 · Cited by 20

The dark matter of the brain

Ovsepian, S. V. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01835-7 · Cited by 22

Characterization of extracellular spike waveforms recorded in wallaby primary visual cortex

Jung, Y. J., Sun, S. H., Almasi, A., Yunzab, M., Hamish Meffin, A., & Ibbotson, M. R. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1244952 · Cited by 19

Active Micro-Nano-Collaborative Bioelectronic Device for Advanced Electrophysiological Recording

Xiang, Y., Shi, K., Li, Y., Xue, J., Tong, Z., Li, H., Li, Z., Teng, C., Fang, J., & Hu, N. (2024) · Nano-Micro Letters · doi:10.1007/s40820-024-01336-1 · Cited by 19

Variability of acute extracellular action potential measurements with multisite silicon probes

Scott, K. M., Du, J., Lester, H. A., & Masmanidis, S. C. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.08.005 · Cited by 19

Sparse sampling: theory, methods and an application in neuroscience

Oñativia, J., & Dragotti, P. L. (2014) · Biological Cybernetics · doi:10.1007/s00422-014-0639-x · Cited by 19

In vivo Recording Quality of Mechanically Decoupled Floating Versus Skull-Fixed Silicon-Based Neural Probes

Chauvière, L., Pothof, F., Gansel, K. S., Klon-Lipok, J., Aarts, A. A. A., Holzhammer, T., Paul, O., Singer, W., & Ruther, P. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00464 · Cited by 19

A universal, multimodal cell-based biosensing platform for optimal intracellular action potential recording

Xu, D., Fang, J., Yadid, M., Zhang, M., Wang, H., Xia, Q., Li, H., Cao, N., Dvir, T., & Hu, N. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2022.114122 · Cited by 19

Fine-scale mapping of cortical laminar activity during sleep slow oscillations using high-density linear silicon probes

Fiáth, R., Raducanu, B. C., Musa, S., Andrei, A., López, C. M., Welkenhuysen, M., Ruther, P., Aarts, A. A. A., & Ulbert, I. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.08.020 · Cited by 19

A Taste Bud Organoid-Based Microelectrode Array Biosensor for Taste Sensing

Liu, S., Zhu, P., Tian, Y., Chen, Y., Liu, Y., Wang, M., Chen, W., Du, L., & Wu, C. (2022) · Chemosensors · doi:10.3390/chemosensors10060208 · Cited by 18

Construction of Direction Selectivity through Local Energy Computations in Primary Visual Cortex

Lochmann, T., Blanche, T. J., & Butts, D. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058666 · Cited by 18

A pseudo 3D glass microprobe array: glass microprobe with embedded silicon for alignment and electrical interconnection during assembly

Lee, Y., Lin, C.-W., Lin, C.-M., Yeh, S.-R., Chang, Y., & Fang, W. (2009) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/20/2/025014 · Cited by 18

Chronic, Reusable, Multiday Neuropixels Recordings during Free-Moving Operant Behavior

Song, Z., Alpers, A., Warner, K., Iacobucci, F. A., Hoskins, E., Disterhoft, J. F., Voss, J. L., & Widge, A. S. (2024) · eNeuro · doi:10.1523/eneuro.0245-23.2023 · Cited by 17

Extracellular matrix proteins as temporary coating for thin-film neural implants

Ceyssens, F., Deprez, M., Turner, N. J., Kil, D., van Kuyck, K., Welkenhuysen, M., Nuttin, B., Badylak, S. F., & Puers, R. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/14/1/014001 · Cited by 17

Temporal coding carries more stable cortical visual representations than firing rate over time

Zhu, H., He, F., Zolotavin, P., Patel, S. S., Tolias, A. S., Luan, L., & Xie, C. (2025) · Nature Communications · doi:10.1038/s41467-025-62069-2 · Cited by 21

Planar 2D-Array Neural Probe for Deep Brain Stimulation and Recording (DBSR)

Musa, S., Welkenhuysen, M., Huys, R., Eberle, W., van Kuyck, K., Bartic, C., Nuttin, B., & Borghs, G. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-540-89208-3_581 · Cited by 16

Characterization of Tetrodes Coated with Au Nanoparticles (AuNPs) and PEDOT and Their Application to Thalamic Neural Signal Detection in vivo

Lee, D., Moon, H. C., Tran, B.-T., Kwon, D.-H., Kim, Y. H., Jung, S., Joo, J. H., & Park, Y. S. (2018) · Experimental Neurobiology · doi:10.5607/en.2018.27.6.593 · Cited by 16

Cellular-scale silicon probes for high-density, precisely localized neurophysiology

Egert, D., Pettibone, J. R., Lemke, S. M., Patel, P. R., Caldwell, C. M., Cai, D., Ganguly, K., Chestek, C. A., & Berke, J. D. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00352.2020 · Cited by 16

Resorbable scaffold based chronic neural electrode arrays

Ceyssens, F., van Kuyck, K., Velde, G. V., Welkenhuysen, M., Stappers, L., Nuttin, B., & Puers, R. (2013) · Biomedical Microdevices · doi:10.1007/s10544-013-9748-x · Cited by 15

Shielded Coaxial Optrode Arrays for Neurophysiology

Naughton, J. R., Connolly, T., Varela, J. A., Lundberg, J. N., Burns, M. J., Chiles, T. C., Christianson, J. P., & Naughton, M. J. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00252 · Cited by 15

In Vivo Neural Interfaces—From Small- to Large-Scale Recording

Zhang, B., Deng, C., Cai, C., & Li, X. (2022) · Frontiers in Nanotechnology · doi:10.3389/fnano.2022.885411 · Cited by 15

Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational InferencePreprint

Hurwitz, C., Xu, K., Srivastava, A., Buccino, A. P., & Hennig, M. H. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/656389 · Cited by 15

Hawkes-laguerre reduced rank model for point processes

Pasha, S. A., & Solo, V. (2013) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2013.6638836 · Cited by 14

Biophysics of Extracellular Spikes

Anastassiou, C. A., Buzsáki, G., & Koch, C. (2013) · CRC Press eBooks · doi:10.1201/b14756-4 · Cited by 15

High-density CMOS neural probe implementing a hierarchical addressing scheme for 1600 recording sites and 32 output channels

Herbawi, A. S., Kiessner, L., Paul, O., & Ruther, P. (2017) · International Conference on Solid-State Sensors, Actuators and Microsystems · doi:10.1109/transducers.2017.7993977 · Cited by 14

A methodology for fast assessments to the electrical activity of barrel fields in vivo: from population inputs to single unit outputs

Riera, J. J., Goto, T., & Kawashima, R. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00004 · Cited by 14

Plugging Electronics Into Minds: Recent Trends and Advances in Neural Interface Microsystems

Kim, M. K., Jeon, H., Lee, H. J., & Je, M. (2019) · IEEE Solid-State Circuits Magazine · doi:10.1109/mssc.2019.2939337 · Cited by 13

Spatiotemporal receptive fields of cells in V1 are optimally shaped for stimulus velocity estimation

Cocci, G., Barbieri, D., & Sarti, A. (2011) · Journal of the Optical Society of America A · doi:10.1364/josaa.29.000130 · Cited by 12

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

Swindale, N. V., Mitelut, C., Murphy, T. H., & Spacek, M. A. (2017) · Journal of Visualized Experiments · doi:10.3791/55217 · Cited by 12

Large-Scale, High-Resolution Microelectrode Arrays for Interrogation of Neurons and Networks

Obien, M. E. J., & Frey, U. (2019) · Advances in neurobiology · doi:10.1007/978-3-030-11135-9_4 · Cited by 12

A microfluidic device for noninvasive cell electrical stimulation and extracellular field potential analysis

Ni, L., Kc, P., Mulvany, E., Zhang, G., & Zhe, J. (2019) · Biomedical Microdevices · doi:10.1007/s10544-019-0364-2 · Cited by 12

Principles of functional neural mapping using an intracortical ultra-density microelectrode array (ultra-density MEA)

Guo, L. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab8fc5 · Cited by 11

Multi-electrode array capable of supporting precisely patterned hippocampal neuronal networks

Zhou, T., Perry, S., Berdichevsky, Y., Petryna, S., Fluck, V., & Tatić-Lučić, S. (2015) · Biomedical Microdevices · doi:10.1007/s10544-014-9907-8 · Cited by 11

EEG Recording in Rodents, with a Focus on Epilepsy

del Campo, C. M., Velázquez, J. L. P., & Freire, M. A. C. (2009) · Current Protocols in Neuroscience · doi:10.1002/0471142301.ns0624s49 · Cited by 11

Depth recording capabilities of planar high-density microelectrode arrays

Frey, U., Egert, U., Jäckel, D., Šedivý, J., Ballini, M., Livi, P., Faraci, F. D., Heer, F., Hafizovic, S., Roscic, B., et al. (2009) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2009.5109270 · Cited by 11

Improving Detection Accuracy of Memristor-Based Bio-Signal Sensing Platform

Gupta, I., Serb, A., Khiat, A., & Prodromakis, T. (2016) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2016.2580499 · Cited by 10

Long-term in-vivo recording performance of flexible penetrating microelectrode arrays

Jang, J., Kang, Y. N., Seo, H. W., Kim, B., Choe, H. K., Park, S. H., Lee, M., & Kim, S. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac3656 · Cited by 10

Multiscale imaging informs translational mouse modeling of neurological disease

Wang, Y., LeDue, J. M., & Murphy, T. H. (2022) · Neuron · doi:10.1016/j.neuron.2022.09.006 · Cited by 13

CMOS-Based High-Density Microelectrode Arrays: Technology and Applications

Obien, M. E. J., Gong, W., Frey, U., & Bakkum, D. J. (2017) · Series in bioengineering · doi:10.1007/978-981-10-3957-7_1 · Cited by 10

Juxtacellular Labeling and Chemical Phenotyping of Extracellularly Recorded Neurons In Vivo

Toney, G. M., & Daws, L. C. (2006) · Humana Press eBooks · doi:10.1385/1-59745-095-2:127 · Cited by 10

Kernel Analysis for Estimating the Connectivity of a Network with Event Sequences

Tezuka, T., & Claramunt, C. (2016) · Journal of Artificial Intelligence and Soft Computing Research · doi:10.1515/jaiscr-2017-0002 · Cited by 9

Inhibition of propofol on single neuron and neuronal ensemble activity in prefrontal cortex of rats during working memory task

Xu, X., Tian, Y., Wang, G., & Tian, X. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.05.034 · Cited by 9

High-Density Intracortical Microelectrode Arrays With Multiple Metallization Layers for Fine-Resolution Neuromonitoring and Neurostimulation

Gabran, S. R. I., Salam, M. T., Dian, J. A., El-Hayek, Y. H., Velázquez, J. L. P., Genov, R., Carlen, P. L., Salama, M. M. A., & Mansour, R. R. (2013) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2013.2279403 · Cited by 9

Compressive multiplexers for correlated signals

Ahmed, A. M., & Romberg, J. (2012) · Asilomar Conference on Signals, Systems and Computers (ACSSC) · doi:10.1109/acssc.2012.6489159 · Cited by 9

High-density optrodes for multi-scale electrophysiology and optogenetic stimulation

Chamanzar, M., Borysov, M., Maharbiz, M. M., & Blanche, T. J. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6945199 · Cited by 9

Robotic multi-probe single-actuator inchworm neural microdrive

Smith, R. D., Kolb, I., Tanaka, S., Lee, A. K., Harris, T. D., & Barbic, M. (2022) · eLife · doi:10.7554/elife.71876 · Cited by 9

Hawkes-Laguerre dynamic index models for point processes

Pasha, S. A., & Solo, V. (2013) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2013.6761003 · Cited by 8

Integration of silicon-via electrodes with different recording characteristics on a glass microprobe using a glass reflowing process

Lee, Y., Yeh, S., Chang, Y., & Fang, W. (2011) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2011.05.037 · Cited by 8

Innovative Methodology

Matteucci, G., Riggi, M., & Zoccolan, D. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00033.2020 · Cited by 8

Verification of multichannel electrode array integrity by use of cross-channel correlations

Swindale, N. V., & Spacek, M. A. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.02.009 · Cited by 8

A Novel and Simple Spike Sorting Implementation

Petrantonakis, P. C., & Poirazi, P. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2640858 · Cited by 8

What can neuronal populations tell us about cognition?

Arandia-Romero, I., Nogueira, R., Mochol, G., & Moreno‐Bote, R. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.07.008 · Cited by 8

Localizing neuronal somata from Multi-Electrode Array in-vivo recordings using deep learning

Buccino, A. P., Ness, T. V., Einevoll, G. T., Cauwenberghs, G., & Hafliger, P. D. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8036988 · Cited by 7

Voltage distributions in extracellular brain recordings

Swindale, N. V., Rowat, P. F., Krause, M. R., Spacek, M. A., & Mitelut, C. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00633.2020 · Cited by 7

In vivo recordings in freely behaving mice using independent silicon probes targeting multiple brain regions

Ferreira‐Fernandes, E., Laranjo, M., Reis, T., Canijo, B., Ferreira, P. A., Martins, P. F., Vilarinho, J. P. G., Tavakoli, M., Kunicki, C., & Peça, J. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1293620 · Cited by 7

Impact of Brain Surface Boundary Conditions on Electrophysiology and Implications for Electrocorticography

Rogers, N., Thunemann, M., Devor, A., & Gilja, V. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00763 · Cited by 7

Topology identification of dynamic point process networks

Pasha, S. A., & Solo, V. (2014) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2014.6853621 · Cited by 7

Conferring flexibility and reconfigurability to a 26,400 microelectrode CMOS array for high throughput neural recordings

Müller, J., Ballini, M., Livi, P., Chen, Y., Shadmani, A., Frey, U., Jones, I. L., Michele, F., Radivojević, M., Bakkum, D. J., et al. (2013) · International Conference on Solid-State Sensors, Actuators and Microsystems · doi:10.1109/transducers.2013.6626873 · Cited by 7

Myelinated fiber labeling and orientation mapping of the human brain with light-sheet fluorescence microscopy

Sorelli, M., Meo, D. D., Bradley, S., Cheli, F., Ramazzotti, J., Caria, F. F., Perego, L., Destrieux, C., Hof, P. R., Pavone, F. S., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121581 · Cited by 6

Validation of a novel three-dimensional electrode array within auditory cortex

Langhals, N. B., & Kipke, D. R. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5333958 · Cited by 6

Scalable, Modular Three-Dimensional Silicon Microelectrode Assembly via Electroless Plating

Scholvin, J., Zorzos, A. N., Kinney, J. P., Bernstein, J., Moore-Kochlacs, C., Kopell, N., Fonstad, C. G., & Boyden, E. S. (2018) · Micromachines · doi:10.3390/mi9090436 · Cited by 6

Enabling single cell electrical stimulation and response recording via a microfluidic platform

Ni, L., Kc, P., Zhang, G., & Zhe, J. (2019) · Biomicrofluidics · doi:10.1063/1.5128884 · Cited by 6

Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach?

Kaszás, A., Meszéna, D., Fiáth, R., Slézia, A., Ulbert, I., & Katona, G. (2025) · Advanced Science · doi:10.1002/advs.202506225 · Cited by 5

Scaling models for microfabricated in vivo neural recording technologies

Scholvin, J., Fonstad, C. G., & Boyden, E. S. (2017) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2017.8008321 · Cited by 5

Robust Discovery of Temporal Structure in Multi-neuron Recordings Using Hopfield Networks

Hillar, C. J., & Effenberger, F. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.07.313 · Cited by 5

jULIEs: nanostructured polytrodes for low traumatic extracellular recordings and stimulation in the mammalian brain

Rácz, R., Köllő, M., Racz, G., Bulz, C., Ackels, T., Warner, T. P. A., Wray, W., Kiskin, N. I., Chen, C., Ye, Z., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac514f · Cited by 5

Fast simulation of extracellular action potential signatures based on a morphological filtering approximation

Tran, H., Ranta, R., Cam, S. L., & Louis-Dorr, V. (2020) · Journal of Computational Neuroscience · doi:10.1007/s10827-019-00735-3 · Cited by 5

Large scale neuronal recording

Blanche, T. (2009) · cIRcle (University of British Columbia) · doi:10.14288/1.0092344 · Cited by 4

Large-Scale Multiunit Recording Polytrodes: High-Density Silicon Electrode Arrays for

Blanche, T. J., Spacek, M. A., Hetke, J. F., Nicholas, V., Mechler, F., Victor, J. D., Schmid, A., Qin, H., Beckers, G. J. L., Gahr, M. L., et al. (2015)

Large-scale electrophysiology with polymer-based electrodes

Vogt, N. (2019) · Nature Methods · doi:10.1038/s41592-019-0315-0 · Cited by 1

innovative methodology Massively Parallel Recording of Unit and Local Field Potentials With Silicon- Based Electrodes

Wise, K. D., Henze, D. A., Jamieson, B., Kenneth, D., & Sirota, A. (2003)

Massively Parallel Recording of Unit and Local Field Potentials With Silicon-Based Electrodes

Csicsvari, J., Henze, D. A., Jamieson, B., Harris, K. D., Sirota, A., Barthó, P., Wise, K. D., & Buzsáki, G. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00116.2003 · Cited by 402