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Every paper, book, standard, and dataset the lessons point to

References

Everything the lessons cite, in one place: the short citation links out, and each entry says why it is worth a learner's time and where it is cited.

Phase 1: First contact

Hodgkin & Huxley 1952paper

A quantitative description of membrane current and its application to conduction and excitation in nerve

Hodgkin, Huxley · J. Physiol. · 1952

The four equations behind every spiking model in Phase 4, still readable in the original.

Cited in: What was that sound?, Project A: Neurons from the equations up

Winter & Webster 1983paper

Driven-right-leg circuit design

Winter, Webster · IEEE Trans. Biomed. Eng. · 1983

The original analysis of the driven-right-leg circuit that keeps mains hum out of biopotential recordings.

Cited in: Why so small?

IEC 2005standard

IEC 60601-1, Medical electrical equipment, general requirements for basic safety and essential performance

IEC Technical Committee 62 · IEC · 2005 · link checked, no DOI

The standard behind patient leakage limits, where batteries pass trivially and wall supplies must be designed.

Cited in: Why the hum?, Electrical safety, with the numbers

Nicolelis 2011book

Beyond Boundaries

Nicolelis · Times Books · 2011 · link checked, no DOI

A first-person history of BCI research by one of its founders, read for the story.

Cited in: The reading track

Klimesch 2012paper

Alpha-band oscillations, attention, and controlled access to stored information

Klimesch · Trends Cogn. Sci. · 2012

The inhibition view of alpha: the rhythm you recorded is the sound of the brain holding things back.

Cited in: Alpha and the back of the head

Analog Devices 2013chip

AD8232 single-lead heart rate monitor front end

Analog Devices · Datasheet · 2013 · link checked, no DOI

A complete biopotential front end with driven lead, and the first four pages explain the DRL resistor.

Cited in: Why so small?, Instrumentation amplifiers, properly

Uriguen & Garcia-Zapirain 2015paper

EEG artifact removal: state-of-the-art and guidelines

Uriguen, Garcia-Zapirain · J. Neural Eng. · 2015

A survey of every artifact-removal method with guidance on which fits which recording.

Cited in: The artifact bestiary

Sanderson 2018video

But what is the Fourier Transform, a visual introduction

Sanderson (3Blue1Brown) · YouTube · 2018 · link checked, no DOI

The visual version of the spectrum page in twenty minutes, watch it with the plotter open.

Cited in: What the spectrum did

Eagleman 2020book

Livewired

Eagleman · Pantheon · 2020 · link checked, no DOI

Plasticity and sensory substitution for a general reader, good motivation for Phase 5.

Cited in: The reading track

Kandel et al. 2021book

Principles of Neural Science

Kandel, Koester, Mack, et al. · McGraw Hill · 2021 · link checked, no DOI

The reference text of neuroscience, read a chapter a week in the site order for about a year.

Cited in: Neuron biophysics, Synapses and plasticity, A reading order for Kandel, The reading track

Phase 2: Build the instrument

Metting van Rijn, Peper, Grimbergen 1990paper

High-quality recording of bioelectric events

Metting van Rijn, Peper, Grimbergen · Med. Biol. Eng. Comput. · 1990

The classic analysis of interference and common-mode rejection in biopotential amplifiers.

Cited in: Instrumentation amplifiers, properly

Motchenbacher & Connelly 1993book

Low-Noise Electronic System Design

Motchenbacher, Connelly · Wiley · 1993 · link checked, no DOI

The full treatment of electronic noise when the Horowitz and Hill chapter runs out.

Cited in: Noise, and where the microvolt goes

Texas Instruments 1995chip

INA128 precision, low power instrumentation amplifier

Texas Instruments · Datasheet · 1995 · link checked, no DOI

The through-hole instrumentation amplifier on the breadboard builds, read its first page first.

Cited in: Instrumentation amplifiers, properly

Jung et al. 2000paper

Removing electroencephalographic artifacts by blind source separation

Jung, Makeig, Humphries, et al. · Psychophysiology · 2000

The paper that made ICA the standard way to remove blinks and heartbeats from EEG.

Cited in: Artifact removal, three ways

Nunez & Srinivasan 2006book

Electric Fields of the Brain, The Neurophysics of EEG

Nunez, Srinivasan · Oxford University Press · 2006 · link checked, no DOI

The book on what the scalp potential means physically, from dipole to electrode.

Cited in: Spatial filters and montages, Where oscillations come from

Webster 2009book

Medical Instrumentation, Application and Design

Webster (ed.) · Wiley · 2009 · link checked, no DOI

The classic on biopotential amplifiers, electrodes, and electrical safety, old and still right.

Cited in: The electrode-electrolyte interface, The reading track

Analog Devices 2011chip

AD620 low cost, low power instrumentation amplifier

Analog Devices · Datasheet · 2011 · link checked, no DOI

The interchangeable alternative to the INA128, worth comparing pin for pin.

Cited in: Instrumentation amplifiers, properly

Texas Instruments 2012chip

ADS1299 low-noise, 8-channel, 24-bit analog front end for biopotential measurements

Texas Instruments · Datasheet · 2012 · link checked, no DOI

The eight-channel converter behind the Phase 2 board, read the modulator and decimation filter sections.

Cited in: Instrumentation amplifiers, properly, Analog to digital

Intan Technologies 2013chip

RHD2000 series digital electrophysiology interface chips

Intan Technologies · Datasheet · 2013 · link checked, no DOI

The spike-recording chips that set the noise floor comparison for every research amplifier.

Cited in: Instrumentation amplifiers, properly

Horowitz & Hill 2015book

The Art of Electronics

Horowitz, Hill · Cambridge University Press · 2015 · link checked, no DOI

The hardware spine bible, with the op-amp, noise, and precision chapters behind your amplifier.

Cited in: Instrumentation amplifiers, properly, Noise, and where the microvolt goes, The reading track

Widmann, Schroger, Maess 2015paper

Digital filter design for electrophysiological data, a practical approach

Widmann, Schroger, Maess · J. Neurosci. Methods · 2015

Read this before filtering any ERP data, since the wrong filter invents effects.

Cited in: Digital filters, and what they do to time

Cohen 2020video

Signal processing for neuroscience, lecture series

Cohen · YouTube · 2020 · link checked, no DOI

An hour of filtering lectures that saves a year of mistakes with EEG filters.

Cited in: Digital filters, and what they do to time

Phase 3: Read intent

Farwell & Donchin 1988paper

Talking off the top of your head, toward a mental prosthesis utilizing event-related brain potentials

Farwell, Donchin · Electroencephalogr. Clin. Neurophysiol. · 1988

The original P300 speller, six by six and still the design every speller project starts from.

Cited in: Project B: The P300 speller

Pfurtscheller, Lopes da Silva 1999paper

Event-related EEG/MEG synchronization and desynchronization, basic principles

Pfurtscheller, Lopes da Silva · Clin. Neurophysiol. · 1999

The ERD paper: why imagining movement quiets mu and beta, which is what motor imagery decoders detect.

Cited in: Event-related potentials and oscillations

Wolpaw et al. 2002paper

Brain-computer interfaces for communication and control

Wolpaw, Birbaumer, McFarland, et al. · Clin. Neurophysiol. · 2002

The review that defined information transfer rate, the one number that compares spellers honestly.

Cited in: Classification done honestly

Bishop 2006book

Pattern Recognition and Machine Learning

Bishop · Springer · 2006 · link checked, no DOI

The classifiers behind the decoders, free as a PDF from the author, read selectively.

Cited in: The reading track

Wu et al. 2006paper

Bayesian population decoding of motor cortical activity using a Kalman filter

Wu, Gao, Bienenstock, et al. · Neural Comput. · 2006

The Kalman decoder paper behind cursor control, worth reading for the prediction step alone.

Cited in: Bayesian decoding and the Kalman filter

Maris & Oostenveld 2007paper

Nonparametric statistical testing of EEG- and MEG-data

Maris, Oostenveld · J. Neurosci. Methods · 2007

The cluster permutation paper, which solves the multiple-comparisons problem across channels and time points.

Cited in: Statistics for small experiments

Gilja et al. 2012paper

A high-performance neural prosthesis enabled by control algorithm design

Gilja, Nuyujukian, Chestek, et al. · Nat. Neurosci. · 2012

The ReFIT paper, which showed that retraining the decoder with its own output doubles cursor performance.

Cited in: Bayesian decoding and the Kalman filter

Rao 2013book

Brain-Computer Interfacing, An Introduction

Rao · Cambridge University Press · 2013 · link checked, no DOI

The best single textbook introduction to BCI, from signals to decoders to ethics.

Cited in: The reading track

Cohen 2014book

Analyzing Neural Time Series Data

Cohen · MIT Press · 2014 · link checked, no DOI

The practical guide to time-frequency analysis with code, paired with free video lectures.

Cited in: Event-related potentials and oscillations, The reading track

Luck 2014book

An Introduction to the Event-Related Potential Technique

Luck · MIT Press · 2014 · link checked, no DOI

Everything about running and analyzing ERP experiments without fooling yourself.

Cited in: Event-related potentials and oscillations, Designing an experiment that can fail, The reading track

Combrisson & Jerbi 2015paper

Exceeding chance level by chance

Combrisson, Jerbi · J. Neurosci. Methods · 2015

The tables that say what accuracy counts as above chance for your trial count, so a 62 percent does not fool you.

Cited in: Classification done honestly, Statistics for small experiments

Schirrmeister et al. 2017paper

Deep learning with convolutional neural networks for EEG decoding and visualization

Schirrmeister, Springenberg, Fiederer, et al. · Hum. Brain Mapp. · 2017

ShallowConvNet and DeepConvNet, the standard baselines next to EEGNet, with filter visualizations.

Cited in: Deep learning for EEG

Lawhern et al. 2018paper

EEGNet, a compact convolutional neural network for EEG-based brain-computer interfaces

Lawhern, Solon, Waytowich, et al. · J. Neural Eng. · 2018

A two-thousand-parameter network that mirrors the classical pipeline, and the first deep model to try on your data.

Cited in: Project F: Reproduce a paper, Deep learning for EEG

Lotte et al. 2018paper

A review of classification algorithms for EEG-based BCIs, a 10-year update

Lotte, Bougrain, Cichocki, et al. · J. Neural Eng. · 2018

Everything on the classification page with citations, and the honest baseline every new method must beat.

Cited in: Classification done honestly

DANDI Consortium 2019dataset

DANDI, Distributed Archives for Neurophysiology Data Integration

DANDI Consortium · DANDI Archive · 2019 · link checked, no DOI

Neurophysiology in NWB format, including the human intracortical data behind the speech BCI papers.

Cited in: Project E: Intracortical data

Roy, Kiral-Kornek, Harrer 2019paper

Deep learning-based electroencephalography analysis, a systematic review

Roy, Kiral-Kornek, Harrer · J. Neural Eng. · 2019

A map of what deep learning had and had not achieved on EEG by 2019, useful before trusting a new claim.

Cited in: Deep learning for EEG

Pei et al. 2021dataset

The Neural Latents Benchmark

Pei, Deng, O'Shea, et al. · NeurIPS · 2021 · link checked, no DOI

Standard monkey datasets with held-out evaluation, the right place to compare a decoder against the field.

Cited in: Bayesian decoding and the Kalman filter, Neural coding, Project E: Intracortical data

Phase 4: The brain behind the signal

Rush & Driscoll 1969paper

EEG electrode sensitivity, an application of reciprocity

Rush, Driscoll · IEEE Trans. Biomed. Eng. · 1969

The reciprocity result behind the three-sphere head model, which says what a scalp electrode can see.

Cited in: Project B: The forward and inverse problems

Steriade, McCormick, Sejnowski 1993paper

Thalamocortical oscillations in the sleeping and aroused brain

Steriade, McCormick, Sejnowski · Science · 1993

Where sleep rhythms come from mechanistically: thalamus and cortex ringing together, which explains the scalp spectra.

Cited in: Where oscillations come from

Johnston & Wu 1994book

Foundations of Cellular Neurophysiology

Johnston, Wu · MIT Press · 1994 · link checked, no DOI

The deep end on channels, cables, and synaptic physiology for the electrophysiology spine.

Cited in: Neuron biophysics, The reading track

Shannon et al. 1995paper

Speech recognition with primarily temporal cues

Shannon, Zeng, Kamath, et al. · Science · 1995

Four bands of modulated noise carry most of speech, the result that says why cochlear implants work.

Cited in: Project C: Prosthesis simulators

Rieke et al. 1997book

Spikes, Exploring the Neural Code

Rieke, Warland, de Ruyter, et al. · MIT Press · 1997 · link checked, no DOI

The timing side of the neural code question, short and precise.

Cited in: Neural coding

Dayan & Abbott 2001book

Theoretical Neuroscience

Dayan, Abbott · MIT Press · 2001 · link checked, no DOI

The standard computational neuroscience text, dense and rewarding, about $40 in paperback; the authors' page has a sample chapter only.

Cited in: Synapses and plasticity, Neural coding, The reading track

Quian Quiroga et al. 2005paper

Invariant visual representation by single neurons in the human brain

Quian Quiroga, Reddy, Kreiman, et al. · Nature · 2005

Single human neurons that fire for one person however they appear, the sharpest evidence for sparse timing codes.

Cited in: Neural coding

Buzsaki 2006book

Rhythms of the Brain

Buzsaki · Oxford University Press · 2006 · link checked, no DOI

Dense and opinionated on where brain rhythms come from, and the standard on the subject.

Cited in: Where oscillations come from, The reading track

Ganguly & Carmena 2009paper

Emergence of a stable cortical map for neuroprosthetic control

Ganguly, Carmena · PLoS Biol. · 2009

With a fixed decoder the brain learns a stable new map, which is the plasticity behind every long-term BCI user.

Cited in: Synapses and plasticity

Diekelmann & Born 2010paper

The memory function of sleep

Diekelmann, Born · Nat. Rev. Neurosci. · 2010

The consolidation review that says what sleep is for, so the stimulation project tests a real hypothesis.

Cited in: Sleep neuroscience

Sterratt et al. 2011book

Principles of Computational Modelling in Neuroscience

Sterratt, Graham, Gillies, et al. · Cambridge University Press · 2011 · link checked, no DOI

A gentler on-ramp to modelling than Dayan and Abbott, with worked examples.

Cited in: Neuron biophysics, The reading track

Sherman-Gold 2012book

The Axon Guide, Electrophysiology and Biophysics Laboratory Techniques

Sherman-Gold (ed.) · Molecular Devices · 2012 · link checked, no DOI

The practical side of patch clamp, free from the company that makes the amplifiers.

Cited in: The reading track

Ngo et al. 2013paper

Auditory closed-loop stimulation of the sleep slow oscillation enhances memory

Ngo, Martinetz, Born, et al. · Neuron · 2013

The exact closed-loop click protocol the sleep band project reimplements, with effect sizes to compare against.

Cited in: Project E: The sleep band, Sleep neuroscience

Aflalo et al. 2015paper

Decoding motor imagery from the posterior parietal cortex of a tetraplegic human

Aflalo, Kellis, Klaes, et al. · Science · 2015

Intention decoded from parietal cortex rather than motor cortex, which widens where a BCI can listen.

Cited in: Motor cortex and the systems BCIs target

Ajiboye et al. 2017paper

Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia

Ajiboye, Willett, Young, et al. · Lancet · 2017

Cortex bridged to muscle with stimulation, so a paralyzed arm moves by thought through its own muscles.

Cited in: Motor cortex and the systems BCIs target

Gallego et al. 2017paper

Neural manifolds for the control of movement

Gallego, Perich, Miller, et al. · Neuron · 2017

Population activity lives on a low-dimensional manifold, which is why modern decoders model dynamics instead of single neurons.

Cited in: Neural coding

Kryger, Roth, Dement 2017book

Principles and Practice of Sleep Medicine

Kryger, Roth, Dement · Elsevier · 2017 · link checked, no DOI

The clinical reference on sleep medicine behind the sleep neuroscience pages.

Cited in: Sleep neuroscience

Walker 2017book

Why We Sleep

Walker · Scribner · 2017 · link checked, no DOI

A popular tour of sleep science, readable but somewhat overstated, so check its claims against Kryger.

Cited in: Sleep neuroscience

George et al. 2019paper

Biomimetic sensory feedback through peripheral nerve stimulation improves dexterous use of a bionic hand

George, Kluger, Davis, et al. · Sci. Robot. · 2019

Biomimetic touch feedback through a nerve array from the Utah group, the closest lab result to Phase 5.

Cited in: Sensory systems as prosthesis targets

Flesher et al. 2021paper

A brain-computer interface that evokes tactile sensations improves robotic arm control

Flesher, Downey, Weiss, et al. · Science · 2021

Cortical touch feedback that halved task time, the result your haptic prosthetic is chasing.

Cited in: Sensory systems as prosthesis targets

Metzger et al. 2023paper

A high-performance neuroprosthesis for speech decoding and avatar control

Metzger, Littlejohn, Silva, et al. · Nature · 2023

The second 2023 speech BCI, decoding speech and facial movement together, with public data.

Cited in: Project F: Reproduce a paper, Motor cortex and the systems BCIs target, Project E: Intracortical data

Willett et al. 2023paper

A high-performance speech neuroprosthesis

Willett, Kunz, Fan, et al. · Nature · 2023

Speech decoded from motor cortex at conversational rates, with data public for your own reimplementation.

Cited in: Project F: Reproduce a paper, Motor cortex and the systems BCIs target, Project E: Intracortical data

Phase 5: Build for a person

Meijer 1992paper

An experimental system for auditory image representations

Meijer · IEEE Trans. Biomed. Eng. · 1992

The vOICe mapping from pixels to sound that the sensory substitution project implements directly.

Cited in: Project D: Sensory substitution

Center for Universal Design 1997standard

The seven principles of universal design

Center for Universal Design · North Carolina State University · 1997 · link checked, no DOI

Equitable use, flexibility, and the other five principles that still anchor inclusive design.

Cited in: Universal and accessible design

FDA 1997standard

Design controls, 21 CFR 820.30, and the FDA design control guidance

FDA Center for Devices and Radiological Health · FDA · 1997 · link checked, no DOI

Two pages of regulation plus a readable guidance that say how a device must be designed on paper.

Cited in: Design controls and the design history file

Gawande 2009book

The Checklist Manifesto

Gawande · Metropolitan Books · 2009 · link checked, no DOI

Why process saves lives, which is design controls in another guise.

Cited in: The reading track

Norman 2013book

The Design of Everyday Things

Norman · Basic Books · 2013 · link checked, no DOI

Why doors and stoves defeat people, which is the same subject as medical device usability.

Cited in: Human factors and use error

IEC 2015standard

IEC 62366-1, Medical devices, application of usability engineering to medical devices

IEC Technical Committee 62 · IEC · 2015 · link checked, no DOI

The usability engineering standard, paired with the FDA guidance which is free and clearer.

Cited in: Human factors and use error

Zenios, Makower, Yock 2015book

Biodesign, The Process of Innovating Medical Technologies

Zenios, Makower, Yock · Cambridge University Press · 2015 · link checked, no DOI

The textbook of needs-driven device innovation, and the method behind Phase 5.

Cited in: Needs finding, The reading track

ISO 2016standard

ISO 13485, Medical devices, quality management systems

ISO Technical Committee 210 · ISO · 2016 · link checked, no DOI

The quality system behind design controls internationally, which every device company runs on.

Cited in: Design controls and the design history file

Ienca & Andorno 2017paper

Towards new human rights in the age of neuroscience and neurotechnology

Ienca, Andorno · Life Sci. Soc. Policy · 2017

The neurorights proposal that Chile later wrote into its constitution, in the authors own words.

Cited in: Privacy, neuroethics, and the abandoned implant

Yuste et al. 2017paper

Four ethical priorities for neurotechnologies and AI

Yuste, Goering, Arcas, et al. · Nature · 2017

The short comment that set the neuroethics agenda: privacy, identity, agency, and access.

Cited in: Privacy, neuroethics, and the abandoned implant

Greenlight Guru 2018podcast

Global Medical Device Podcast

Greenlight Guru · Podcast · 2018 · link checked, no DOI

Regulatory and quality work described by people who do it, good background listening for Phase 5.

Cited in: Regulatory pathways

Holmes 2018book

Mismatch, How Inclusion Shapes Design

Holmes · MIT Press · 2018 · link checked, no DOI

Exclusion as a design problem with methods for fixing it, directly applicable to assistive devices.

Cited in: Universal and accessible design

ISO 2019standard

ISO 14971, Medical devices, application of risk management to medical devices

ISO Technical Committee 210 · ISO · 2019 · link checked, no DOI

The risk management standard behind every FMEA, with free summaries from notified bodies.

Cited in: Risk management and the FMEA

Hendren 2020book

What Can a Body Do, How We Meet the Built World

Hendren · Riverhead · 2020 · link checked, no DOI

Bodies and buildings in conflict, the mindset behind designing with disabled users instead of for them.

Cited in: Universal and accessible design

FDA 2021standard

Implanted Brain-Computer Interface Devices for Patients with Paralysis or Amputation, non-clinical testing and clinical considerations

FDA Center for Devices and Radiological Health · FDA guidance · 2021 · link checked, no DOI

What testing the FDA expects before an implanted BCI reaches a person, in the agency own words.

Cited in: Regulatory pathways

National Congress of Chile 2021law

Constitutional reform on neurorights, Law 21.383

National Congress of Chile · Ley Chile · 2021 · link checked, no DOI

The constitutional amendment that made Chile the first country to protect mental privacy at that level.

Cited in: Privacy, neuroethics, and the abandoned implant

Strickland & Harris 2022paper

Their bionic eyes are now obsolete and unsupported

Strickland, Harris · IEEE Spectrum · 2022 · link checked, no DOI

What happened to Second Sight retinal implant users when the company moved on, and why support plans matter.

Cited in: Privacy, neuroethics, and the abandoned implant

Colorado General Assembly 2024law

Colorado HB24-1058, neural data added to sensitive data

Colorado General Assembly · Colorado Session Laws · 2024 · link checked, no DOI

The first US law classifying neural data as sensitive personal information, with consent and deletion rights.

Cited in: Privacy, neuroethics, and the abandoned implant

Phase 6: Beyond the scalp

Campbell et al. 1991paper

A silicon-based, three-dimensional neural interface, manufacturing processes for an intracortical electrode array

Campbell, Jones, Huber, et al. · IEEE Trans. Biomed. Eng. · 1991

The original Utah Array paper, where a hundred needles from one silicon block started.

Cited in: The Utah Array, a history

Shannon 1992paper

A model of safe levels for electrical stimulation

Shannon · IEEE Trans. Biomed. Eng. · 1992

The line on the log-log plot that bounds safe charge and charge density, with all its caveats.

Cited in: Stimulation safety and electrochemistry

Merrill, Bikson, Jefferys 2005paper

Electrical stimulation of excitable tissue, design of efficacious and safe protocols

Merrill, Bikson, Jefferys · J. Neurosci. Methods · 2005

The stimulation safety review everyone in neuromodulation has read, covering charge, chemistry, and damage.

Cited in: Stimulation safety and electrochemistry, The reading track

Polikov, Tresco, Reichert 2005paper

Response of brain tissue to chronically implanted neural electrodes

Polikov, Tresco, Reichert · J. Neurosci. Methods · 2005

What the glial scar actually is and when it forms, the biology every electrode material must answer.

Cited in: Electrode materials and the foreign body response

Hochberg et al. 2006paper

Neuronal ensemble control of prosthetic devices by a human with tetraplegia

Hochberg, Serruya, Friehs, et al. · Nature · 2006

The first BrainGate human result: cursor and arm control from motor cortex, the paper the whole field cites.

Cited in: The Utah Array, a history

Vanhoestenberghe & Donaldson 2013paper

Corrosion of silicon integrated circuits and lifetime predictions in implantable electronic devices

Vanhoestenberghe, Donaldson · J. Neural Eng. · 2013

Why implants die of water, not wear, and how to predict encapsulation lifetime before implanting.

Cited in: Packaging, power, and telemetry

Horvath, Forte, Carter 2015paper

Transcranial direct current stimulation, five important issues we are not discussing but probably should be

Horvath, Forte, Carter · Brain Stimul. · 2015

The review that deflated casual tDCS claims, assigned reading before taking any stimulation result at face value.

Cited in: Neuromodulation, mechanisms and evidence

Cogan et al. 2016paper

Tissue damage thresholds during therapeutic electrical stimulation

Cogan, Ludwig, Welle, et al. · J. Neural Eng. · 2016

A reappraisal of the Shannon limit against newer data, which is where the boundary stands now.

Cited in: Stimulation safety and electrochemistry

Normann & Fernandez 2016paper

Clinical applications of penetrating neural interfaces and Utah Electrode Array for restoration of function

Normann, Fernandez · J. Neural Eng. · 2016

A retrospective by the inventor on what the array did in twenty-five years and where it falls short.

Cited in: The Utah Array, a history

Luan et al. 2017paper

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

Luan, Sahasrabuddhe, Ross, et al. · Sci. Adv. · 2017

Probes that move with the brain and provoke almost no scar, the strongest case for the flexible bet.

Cited in: Electrode materials and the foreign body response

Salatino et al. 2017paper

Glial responses to implanted electrodes in the brain

Salatino, Ludwig, Hickman, et al. · Nat. Biomed. Eng. · 2017

The modern review of the foreign-body response, with the design rules that fall out of it.

Cited in: Electrode materials and the foreign body response

Wagner et al. 2018paper

Targeted neurotechnology restores walking in humans with spinal cord injury

Wagner, Mignard, Demesmaeker, et al. · Nature · 2018

Timed spinal stimulation that restored walking within days, the clearest demonstration of targeted SCS.

Cited in: Neuromodulation, mechanisms and evidence

Lozano et al. 2019paper

Deep brain stimulation, current challenges and future directions

Lozano, Lipsman, Bergman, et al. · Nat. Rev. Neurol. · 2019

The DBS state of the field: targets, mechanisms, and the open problems a newcomer could work on.

Cited in: Neuromodulation, mechanisms and evidence

He 2020book

Neural Engineering

He (ed.) · Springer · 2020 · link checked, no DOI

Graduate-level survey chapters across the field, read the ones that match your spine.

Cited in: The reading track

Shen & Maharbiz 2021paper

Ceramic packaging in neural implants

Shen, Maharbiz · J. Neural Eng. · 2021

A survey of hermetic ceramic packages, the alternative when polymers let water through.

Cited in: Packaging, power, and telemetry

Threads / general

Mukherjee 2010book

The Emperor of All Maladies

Mukherjee · Scribner · 2010 · link checked, no DOI

Not neuro, but the best account of how a field learns, which is what the reading file is for.

Cited in: The reading track

Carreyrou 2018book

Bad Blood

Carreyrou · Knopf · 2018 · link checked, no DOI

What device and diagnostic hype does to patients, the cautionary tale for Phase 5 claims.

Cited in: The reading track