Electronic neural interfaces
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[1] Yu-Wei Wu,et al. Massively parallel microwire arrays integrated with CMOS chips for neural recording , 2019, Science Advances.
[2] Gert Cauwenberghs,et al. A 3 mm × 3 mm Fully Integrated Wireless Power Receiver and Neural Interface System-on-Chip , 2019, IEEE Transactions on Biomedical Circuits and Systems.
[3] Nitish Thakor,et al. The Microbead: A 0.009 mm3 Implantable Wireless Neural Stimulator , 2019, IEEE Transactions on Biomedical Circuits and Systems.
[4] Hyuntak Jeon,et al. A High DR, DC-Coupled, Time-Based Neural-Recording IC With Degeneration R-DAC for Bidirectional Neural Interface , 2019, IEEE Journal of Solid-State Circuits.
[5] Tzi-Dar Chiueh,et al. An Ultra-Low-Power Dual-Mode Automatic Sleep Staging Processor Using Neural-Network-Based Decision Tree , 2019, IEEE Transactions on Circuits and Systems I: Regular Papers.
[6] Jihun Lee,et al. A Distributed Wireless Network of Implantable Sub-mm Cortical Microstimulators for Brain-Computer Interfaces , 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[7] Milin Zhang,et al. A Low-Noise Chopper Amplifier Designed for Multi-Channel Neural Signal Acquisition , 2019, IEEE Journal of Solid-State Circuits.
[8] Yong Lian,et al. A 2.55 NEF 76 dB CMRR DC-Coupled Fully Differential Difference Amplifier Based Analog Front End for Wearable Biomedical Sensors , 2019, IEEE Transactions on Biomedical Circuits and Systems.
[9] Michel M. Maharbiz,et al. The “sewing machine” for minimally invasive neural recording , 2019, bioRxiv.
[10] Xuan-Thuan Nguyen,et al. 22.8 Adaptively Clock-Boosted Auto-Ranging Responsive Neurostimulator for Emerging Neuromodulation Applications , 2019, 2019 IEEE International Solid- State Circuits Conference - (ISSCC).
[11] Guosong Hong,et al. Novel electrode technologies for neural recordings , 2019, Nature Reviews Neuroscience.
[12] Benjamin C. Johnson,et al. 17.5 A 0.8mm3 Ultrasonic Implantable Wireless Neural Recording System With Linear AM Backscattering , 2019, 2019 IEEE International Solid- State Circuits Conference - (ISSCC).
[13] Wenlong Jiang,et al. A 0.338 cm3, Artifact-Free, 64-Contact Neuromodulation Platform for Simultaneous Stimulation and Sensing , 2019, IEEE Transactions on Biomedical Circuits and Systems.
[14] Mattias P. Karlsson,et al. High-Density, Long-Lasting, and Multi-region Electrophysiological Recordings Using Polymer Electrode Arrays , 2019, Neuron.
[15] Benjamin C. Johnson,et al. A 0.8mm(3) Ultrasonic Implantable Wireless Neural Recording System with Linear AM Backscattering , 2019 .
[16] Minkyu Je,et al. A Sub-µW/Ch Analog Front-End for Δ-Neural Recording With Spike-Driven Data Compression , 2019, IEEE Trans. Biomed. Circuits Syst..
[17] Dennis Sylvester,et al. An Area-Efficient 128-Channel Spike Sorting Processor for Real-Time Neural Recording With $0.175~\mu$ W/Channel in 65-nm CMOS , 2019, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[18] Benjamin C. Johnson,et al. A wireless and artefact-free 128-channel neuromodulation device for closed-loop stimulation and recording in non-human primates , 2018, Nature Biomedical Engineering.
[19] Volkan Cevher,et al. Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.
[20] Fabien B. Wagner,et al. Targeted neurotechnology restores walking in humans with spinal cord injury , 2018, Nature.
[21] Maurits Ortmanns,et al. Efficient implementation and stability analysis of a HV-CMOS current/voltage mode stimulator , 2018, 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS).
[22] Sheng-Fu Liang,et al. A Fully Integrated 16-Channel Closed-Loop Neural-Prosthetic CMOS SoC With Wireless Power and Bidirectional Data Telemetry for Real-Time Efficient Human Epileptic Seizure Control , 2018, IEEE Journal of Solid-State Circuits.
[23] Siyuan Yu,et al. A CMOS Distributed Sensor System for High-Density Wireless Neural Implants for Brain-Machine Interfaces , 2018, ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference (ESSCIRC).
[24] Timothy G. Constandinou,et al. A 0.006 mm2 1.2 $\mu$ W Analog-to-Time Converter for Asynchronous Bio-Sensors , 2018, IEEE Journal of Solid-State Circuits.
[25] Alexandre Schmid,et al. A Sub- $\mu\text{W}$ /Channel, 16-Channel Seizure Detection and Signal Acquisition SoC Based on Multichannel Compressive Sensing , 2018, IEEE Transactions on Circuits and Systems II: Express Briefs.
[26] Xing Sheng,et al. Microscale optoelectronic infrared-to-visible upconversion devices and their use as injectable light sources , 2018, Proceedings of the National Academy of Sciences.
[27] Benjamin C. Johnson,et al. Toward true closed-loop neuromodulation: artifact-free recording during stimulation , 2018, Current Opinion in Neurobiology.
[28] Samantha R Santacruz,et al. Recent advances in neural dust: towards a neural interface platform , 2018, Current Opinion in Neurobiology.
[29] Samantha R. Santacruz,et al. A high-density carbon fiber neural recording array technology , 2018, bioRxiv.
[30] Timothy G. Constandinou,et al. Autonomous SoC for Neural Local Field Potential Recording in mm-Scale Wireless Implants , 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).
[31] Maysam Ghovanloo,et al. An Adaptive Averaging Low Noise Front-End for Central and Peripheral Nerve Recording , 2018, IEEE Transactions on Circuits and Systems II: Express Briefs.
[32] Maysam Ghovanloo,et al. Towards a 1.1 mm2 free-floating wireless implantable neural recording SoC , 2018, 2018 IEEE Custom Integrated Circuits Conference (CICC).
[33] Hoi-Jun Yoo,et al. An EEG-NIRS Multimodal SoC for Accurate Anesthesia Depth Monitoring , 2018, IEEE Journal of Solid-State Circuits.
[34] Amin Arbabian,et al. A mm-Sized Wireless Implantable Device for Electrical Stimulation of Peripheral Nerves , 2018, IEEE Transactions on Biomedical Circuits and Systems.
[35] Maysam Ghovanloo,et al. A mm-sized free-floating wirelessly powered implantable optical stimulating system-on-a-chip , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[36] Timothy Denison,et al. Creating neural “co-processors” to explore treatments for neurological disorders , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[37] A. Kral,et al. New thin-film surface electrode array enables brain mapping with high spatial acuity in rodents , 2018, Scientific Reports.
[38] Minkyu Je,et al. A 110dB-CMRR 100dB-PSRR multi-channel neural-recording amplifier system using differentially regulated rejection ratio enhancement in 0.18μm CMOS , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[39] Mario Konijnenburg,et al. A 665μW silicon photomultiplier-based NIRS/EEG/EIT monitoring asic for wearable functional brain imaging , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[40] Hariprasad Chandrakumar,et al. A 15.2-ENOB continuous-time ΔΣ ADC for a 200mVpp-linear-input-range neural recording front-end , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[41] Yiannos Manoli,et al. A fully immersible deep-brain neural probe with modular architecture and a delta-sigma ADC integrated under each electrode for parallel readout of 144 recording sites , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[42] Roman Genov,et al. A recursive-memory brain-state classifier with 32-channel track-and-zoom Δ2 Σ ADCs and Charge-Balanced Programmable Waveform Neurostimulators , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[43] Gert Cauwenberghs,et al. A 92dB dynamic range sub-μVrms-noise 0.8μW/ch neural-recording ADC array with predictive digital autoranging , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[44] Yves De Koninck,et al. A 13μm CMOS SoC for simultaneous multichannel optogenetics and electrophysiological brain recording , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[45] Dejan Markovic,et al. A 216 nW/channel DSP engine for triggering theta phase-locked brain stimulation , 2017, 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS).
[46] William J Tyler,et al. Ultrasonic neuromodulation , 2017, 2017 IEEE International Ultrasonics Symposium (IUS).
[47] Timothy H. Lucas,et al. Design of a Closed-Loop, Bidirectional Brain Machine Interface System With Energy Efficient Neural Feature Extraction and PID Control , 2017, IEEE Transactions on Biomedical Circuits and Systems.
[48] Esther Rodriguez-Villegas,et al. A 950 nW Analog-Based Data Reduction Chip for Wearable EEG Systems in Epilepsy , 2017, IEEE Journal of Solid-State Circuits.
[49] Tonio Ball,et al. Closed-loop interaction with the cerebral cortex: a review of wireless implant technology§ , 2017 .
[50] A. Sayed Herbawi,et al. High-density CMOS neural probe implementing a hierarchical addressing scheme for 1600 recording sites and 32 output channels , 2017, 2017 19th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS).
[51] Jan M. Rabaey,et al. An implantable 700μW 64-channel neuromodulation IC for simultaneous recording and stimulation with rapid artifact recovery , 2017, 2017 Symposium on VLSI Circuits.
[52] Roman Genov,et al. 27.3 All-wireless 64-channel 0.013mm2/ch closed-loop neurostimulator with rail-to-rail DC offset removal , 2017, 2017 IEEE International Solid-State Circuits Conference (ISSCC).
[53] Syed Anas Imtiaz,et al. An Ultralow Power System on Chip for Automatic Sleep Staging , 2017, IEEE Journal of Solid-State Circuits.
[54] Refet Firat Yazicioglu,et al. Active Electrodes for Wearable EEG Acquisition: Review and Electronics Design Methodology , 2017, IEEE Reviews in Biomedical Engineering.
[55] Gert Cauwenberghs,et al. A CMOS Current Steering Neurostimulation Array With Integrated DAC Calibration and Charge Balancing , 2017, IEEE Transactions on Biomedical Circuits and Systems.
[56] Qin,et al. A Brain–Spinal Interface Alleviating Gait Deficits after Spinal Cord Injury in Primates , 2017 .
[57] Zhenan Bao,et al. Pursuing prosthetic electronic skin. , 2016, Nature materials.
[58] N. Birbaumer,et al. Brain–computer interfaces for communication and rehabilitation , 2016, Nature Reviews Neurology.
[59] Jan Van der Spiegel,et al. A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface , 2016, IEEE Transactions on Biomedical Circuits and Systems.
[60] Anantha Chandrakasan,et al. A sub-μW 36nV/√Hz chopper amplifier for sensors using a noise-efficient inverter-based 0.2V-supply input stage , 2016, 2016 IEEE International Solid-State Circuits Conference (ISSCC).
[61] Refet Firat Yazicioglu,et al. 22.7 A 966-electrode neural probe with 384 configurable channels in 0.13µm SOI CMOS , 2016, 2016 IEEE International Solid-State Circuits Conference (ISSCC).
[62] Jian Xu,et al. A 16-Channel Nonparametric Spike Detection ASIC Based on EC-PC Decomposition , 2016, IEEE Transactions on Biomedical Circuits and Systems.
[63] Arindam Basu,et al. A 128-Channel Extreme Learning Machine-Based Neural Decoder for Brain Machine Interfaces , 2015, IEEE Transactions on Biomedical Circuits and Systems.
[64] Wouter A. Serdijn,et al. Design of Efficient and Safe Neural Stimulators , 2016 .
[65] Yiannos Manoli,et al. 22.6 A 22V compliant 56µW active charge balancer enabling 100% charge compensation even in monophasic and 36% amplitude correction in biphasic neural stimulators , 2016, 2016 IEEE International Solid-State Circuits Conference (ISSCC).
[66] Michael P. Flynn,et al. A Bidirectional Neural Interface Circuit With Active Stimulation Artifact Cancellation and Cross-Channel Common-Mode Noise Suppression , 2016, IEEE Journal of Solid-State Circuits.
[67] Chen Zhang,et al. A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC With Impedance-Adaptive Transcranial Electrical Stimulator , 2015, IEEE Journal of Solid-State Circuits.
[68] B. Jobst,et al. Critical review of the responsive neurostimulator system for epilepsy , 2015, Medical devices.
[69] K. Deisseroth. Optogenetics: 10 years of microbial opsins in neuroscience , 2015, Nature Neuroscience.
[70] Huanan Zhang,et al. Insertion of linear 8.4 μm diameter 16 channel carbon fiber electrode arrays for single unit recordings , 2015, Journal of neural engineering.
[71] Walter Lang,et al. A Multi-Channel, Flex-Rigid ECoG Microelectrode Array for Visual Cortical Interfacing , 2015, Sensors.
[72] Maysam Ghovanloo,et al. A Power-Efficient Switched-Capacitor Stimulating System for Electrical/Optical Deep Brain Stimulation , 2014, IEEE Journal of Solid-State Circuits.
[73] Jan M. Rabaey,et al. A Minimally Invasive 64-Channel Wireless μECoG Implant , 2015, IEEE Journal of Solid-State Circuits.
[74] Yao Lu,et al. Wireless Neurosensor for Full-Spectrum Electrophysiology Recordings during Free Behavior , 2014, Neuron.
[75] Timothy Denison,et al. A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation , 2014, ESSCIRC 2014 - 40th European Solid State Circuits Conference (ESSCIRC).
[76] Yonggang Huang,et al. A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings. , 2014, Journal of neurophysiology.
[77] Michael P. Flynn,et al. A Fully Self-Contained Logarithmic Closed-Loop Deep Brain Stimulation SoC With Wireless Telemetry and Wireless Power Management , 2014, IEEE Journal of Solid-State Circuits.
[78] Gian Nicola Angotzi,et al. A programmable closed-loop recording and stimulating wireless system for behaving small laboratory animals , 2014, Scientific Reports.
[79] Daniel Sánchez Morillo,et al. Dry EEG Electrodes , 2014, Sensors.
[80] Jan M. Rabaey,et al. A 4.78mm2 fully-integrated neuromodulation SoC combining 64 acquisition channels with digital compression and simultaneous dual stimulation , 2014, VLSIC.
[81] Mikhail A. Lebedev,et al. Chronic, Wireless Recordings of Large Scale Brain Activity in Freely Moving Rhesus Monkeys , 2014, Nature Methods.
[82] Luca Citi,et al. Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses , 2014, Science Translational Medicine.
[83] Shun Bai,et al. A Complete 256-Electrode Retinal Prosthesis Chip , 2014, IEEE Journal of Solid-State Circuits.
[84] R. J. Vogelstein,et al. Restoring the sense of touch with a prosthetic hand through a brain interface , 2013, Proceedings of the National Academy of Sciences.
[85] L. Cohen,et al. Brain–machine interface in chronic stroke rehabilitation: A controlled study , 2013, Annals of neurology.
[86] Yei Hwan Jung,et al. Injectable, Cellular-Scale Optoelectronics with Applications for Wireless Optogenetics , 2013, Science.
[87] Jan M. Rabaey,et al. A Fully-Integrated, Miniaturized (0.125 mm²) 10.5 µW Wireless Neural Sensor , 2013, IEEE Journal of Solid-State Circuits.
[88] P. Leleux,et al. In vivo recordings of brain activity using organic transistors , 2013, Nature Communications.
[89] Vaibhav Karkare,et al. A 75-µW, 16-Channel Neural Spike-Sorting Processor With Unsupervised Clustering , 2011, IEEE Journal of Solid-State Circuits.
[90] Paras R. Patel,et al. Ultrasmall implantable composite microelectrodes with bioactive surfaces for chronic neural interfaces. , 2012, Nature materials.
[91] C. Koch,et al. The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes , 2012, Nature Reviews Neuroscience.
[92] Karl Deisseroth,et al. Optetrode: a multichannel readout for optogenetic control in freely moving mice , 2011, Nature Neuroscience.
[93] Brian Litt,et al. Flexible, Foldable, Actively Multiplexed, High-Density Electrode Array for Mapping Brain Activity in vivo , 2011, Nature Neuroscience.
[94] W. Paulus. Transcranial electrical stimulation (tES – tDCS; tRNS, tACS) methods , 2011, Neuropsychological rehabilitation.
[95] Brian Otis,et al. A Low-Power ECoG/EEG Processing IC With Integrated Multiband Energy Extractor , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.
[96] Refet Firat Yazicioglu,et al. A 160μW 8-channel active electrode system for EEG monitoring , 2011, 2011 IEEE International Solid-State Circuits Conference.
[97] Vaibhav Karkare,et al. A 130-$\mu$ W, 64-Channel Neural Spike-Sorting DSP Chip , 2011, IEEE Journal of Solid-State Circuits.
[98] Pedram Mohseni,et al. A Battery-Powered Activity-Dependent Intracortical Microstimulation IC for Brain-Machine-Brain Interface , 2011, IEEE Journal of Solid-State Circuits.
[99] Giuliano Iurilli,et al. Flexible, all-polymer microelectrode arrays for the capture of cardiac and neuronal signals. , 2011, Biomaterials.
[100] T. Stieglitz,et al. A transverse intrafascicular multichannel electrode (TIME) to interface with the peripheral nerve. , 2010, Biosensors & bioelectronics.
[101] Anantha Chandrakasan,et al. An energy-efficient biomedical signal processing platform , 2010, 2010 Proceedings of ESSCIRC.
[102] Brice Rebsamen,et al. A brain controlled wheelchair to navigate in familiar environments. , 2010, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[103] Brendan Z. Allison,et al. The Hybrid BCI , 2010, Frontiers in Neuroscience.
[104] Maurits Ortmanns,et al. An Active Approach for Charge Balancing in Functional Electrical Stimulation , 2010, IEEE Transactions on Biomedical Circuits and Systems.
[105] Zhi Yang,et al. A biomedical multiprocessor SoC for closed-loop neuroprosthetic applications , 2009, 2009 IEEE International Solid-State Circuits Conference - Digest of Technical Papers.
[106] Mohammad Reza Abidian,et al. Multifunctional Nanobiomaterials for Neural Interfaces , 2009 .
[107] Jose M. Carmena,et al. A System for Neural Recording and Closed-Loop Intracortical Microstimulation in Awake Rodents , 2009, IEEE Transactions on Biomedical Engineering.
[108] Reid R. Harrison,et al. The Design of Integrated Circuits to Observe Brain Activity , 2008, Proceedings of the IEEE.
[109] M. Kringelbach,et al. Translational principles of deep brain stimulation , 2007, Nature Reviews Neuroscience.
[110] M. Hallett. Transcranial Magnetic Stimulation: A Primer , 2007, Neuron.
[111] Valer Jurcak,et al. 10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surface-based positioning systems , 2007, NeuroImage.
[112] K. Deisseroth,et al. Millisecond-timescale, genetically targeted optical control of neural activity , 2005, Nature Neuroscience.
[113] V. Brown,et al. Vagal nerve stimulation: a review of its applications and potential mechanisms that mediate its clinical effects , 2005, Neuroscience & Biobehavioral Reviews.
[114] Daniel R. Merrill,et al. Electrical stimulation of excitable tissue: design of efficacious and safe protocols , 2005, Journal of Neuroscience Methods.
[115] Jonathan R Wolpaw,et al. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[116] Daryl R. Kipke,et al. Wireless implantable microsystems: high-density electronic interfaces to the nervous system , 2004, Proceedings of the IEEE.
[117] Gerwin Schalk,et al. A brain–computer interface using electrocorticographic signals in humans , 2004, Journal of neural engineering.
[118] G. Buzsáki. Large-scale recording of neuronal ensembles , 2004, Nature Neuroscience.
[119] T. Cameron,et al. Safety and efficacy of spinal cord stimulation for the treatment of chronic pain: a 20-year literature review. , 2004, Journal of neurosurgery.
[120] B. Sakmann,et al. Improved patch-clamp techniques for high-resolution current recording from cells and cell-free membrane patches , 1981, Pflügers Archiv.
[121] K. Horch,et al. Fabrication and characteristics of an implantable, polymer-based, intrafascicular electrode , 2003, Journal of Neuroscience Methods.
[122] Jerald D. Kralik,et al. Chronic, multisite, multielectrode recordings in macaque monkeys , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[123] Reid R. Harrison,et al. A low-power, low-noise CMOS amplifier for neural recording applications , 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).
[124] Dawn M. Taylor,et al. Direct Cortical Control of 3D Neuroprosthetic Devices , 2002, Science.
[125] Nicholas G. Hatsopoulos,et al. Brain-machine interface: Instant neural control of a movement signal , 2002, Nature.
[126] S. Meagher. Instant neural control of a movement signal , 2002 .
[127] H. Jasper,et al. The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.
[128] R. Normann,et al. Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex , 1998, Journal of Neuroscience Methods.
[129] K. Najafi,et al. A micromachined silicon sieve electrode for nerve regeneration applications , 1994, IEEE Transactions on Biomedical Engineering.
[130] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1990, Bulletin of mathematical biology.
[131] B. Sakmann,et al. Single-channel currents recorded from membrane of denervated frog muscle fibres , 1976, Nature.
[132] H. S. Davis,et al. A Controlled Study , 1966 .
[133] A. Hodgkin,et al. Currents carried by sodium and potassium ions through the membrane of the giant axon of Loligo , 1952, The Journal of physiology.
[134] G. Marmont. Studies on the axon membrane; a new method. , 1949, Journal of cellular and comparative physiology.
[135] A. Hodgkin. Evidence for electrical transmission in nerve , 1937, The Journal of physiology.