The DOI matches its Crossref record; 29 of the 30 references it cites were found in a registry or an index.
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall
Open accessAbstract
Objective . We demonstrate here the first successful implementation in humans of a proof-of-concept system for restoring and improving memory function via facilitation of memory encoding using the patient’s own hippocampal spatiotemporal neural codes for memory. Memory in humans is subject to disruption by drugs, disease and brain injury, yet previous attempts to restore or rescue memory function in humans typically involved only nonspecific, modulation of brain areas and neural systems related to memory retrieval. Approach . We have constructed a model of processes by which the hippocampus encodes memory items via spatiotemporal firing of neural ensembles that underlie the successful encoding of short-term memory. A nonlinear multi-input, multi-output (MIMO) model of hippocampal CA3 and CA1 neural firing is computed that predicts activation patterns of CA1 neurons during the encoding (sample) phase of a delayed match-to-sample (DMS) human short-term memory task. Main results . MIMO model-derived electrical stimulation delivered to the same CA1 locations during the sample phase of DMS trials facilitated short-term/working memory by 37% during the task. Longer term memory retention was also tested in the same human subjects with a delayed recognition (DR) task that utilized images from the DMS task, along with images that were not from the task. Across the subjects, the stimulated trials exhibited significant improvement (35%) in both short-term and long-term retention of visual information. Significance . These results demonstrate the facilitation of memory encoding which is an important feature for the construction of an implantable neural prosthetic to improve human memory.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“To that end, it is now feasible to measure cognition (as read out by standard laboratory cognitive tasks) in real time, and to adjust stimulation in response to cognitive changes (Widge et al. 2017, Ezzyat et al. 2018, Hampson et al. 2018, Yousefi et al. 2019).”
From Deep brain stimulation for psychiatric disorders: From focal brain targets to cognitive networks (2021) · cites this paper as Hampson et al. 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
LOSS OF RECENT MEMORY AFTER BILATERAL HIPPOCAMPAL LESIONS
Scoville, W. B., & Milner, B. (1957) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.20.1.11 · Cited by 7,322
Zola-Morgan, S., Squire, L., & Amaral, D. (1986) · The Journal of Neuroscience · doi:10.1523/jneurosci.06-10-02950.1986 · Cited by 1,997
Organization of the entorhinal—hippocampal system: A review of current anatomical data
Witter, M. P. (1993) · Hippocampus · doi:10.1002/hipo.1993.4500030707 · Cited by 534
Memory Enhancement and Deep-Brain Stimulation of the Entorhinal Area
Suthana, N., Haneef, Z., Stern, J. M., Mukamel, R., Behnke, E., Knowlton, B. J., & Fried, I. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1107212 · Cited by 491
A cortical neural prosthesis for restoring and enhancing memory
Berger, T. W., Hampson, R. E., Song, D. B., Goonawardena, A. V., Marmarelis, V. Z., & Deadwyler, S. A. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/4/046017 · Cited by 316
Self-citationDistribution of spatial and nonspatial information in dorsal hippocampus
Hampson, R. E., Simeral, J. D., & Deadwyler, S. A. (1999) · Nature · doi:10.1038/45154 · Cited by 306
Self-citationDirect Electrical Stimulation of the Human Entorhinal Region and Hippocampus Impairs Memory
Jacobs, J., Miller, J. F., Lee, S. A., Coffey, T., Watrous, A. J., Sperling, M. R., Sharan, A. D., Worrell, G. A., Berry, B. M., Lega, B. C., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.062 · Cited by 251
Direct Brain Stimulation Modulates Encoding States and Memory Performance in Humans
Ezzyat, Y., Kragel, J. E., Burke, J. F., Levy, D. F., Lyalenko, A., Wanda, P. A., O’Sullivan, L., Hurley, K. B., Busygin, S., Pedisich, I., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.03.028 · Cited by 242
Retinal Prostheses: Current Clinical Results and Future Needs
Weiland, J. D., Cho, A. K., & Humayun, M. S. (2011) · Ophthalmology · doi:10.1016/j.ophtha.2011.08.042 · Cited by 196
Synaptic Plasticity, Dementia and Alzheimer Disease
Skaper, S. D., Facci, L., Zusso, M., & Giusti, P. (2017) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527316666170113120853 · Cited by 192
Research works printed but not linked: 1
- Wicks, 2016, Human hippocampal recording and stimulation: validation of depth electrode placement through combined high-resolution imaging and electrophysiologic recordings, Soc. Neurosci. Abstr., 2016
Cited by
Sorted by citations
Transcranial alternating current stimulation entrains single-neuron activity in the primate brain
Krause, M. R., Vieira, P. G., Csorba, B. A., Pilly, P. K., & Pack, C. C. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1815958116 · Cited by 341
Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics
Mikhaylov, A. N., Pimashkin, A. S., Pigareva, Y., Gerasimova, S. A., Gryaznov, E. G., Shchanikov, S., Zuev, A. D., Talanov, M. O., Lavrov, I. A., Demin, V. A., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00358 · Cited by 189
Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects
Cinel, C., Valeriani, D., & Poli, R. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00013 · Cited by 193
Hacking the Brain: Dimensions of Cognitive Enhancement
Dresler, M., Sandberg, A., Bublitz, C., Ohla, K., Trenado, C., Mroczko-Wąsowicz, A., Kühn, S., & Repantis, D. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00571 · Cited by 175
Neuropsychological tests of the future: How do we get there from here?
Bilder, R. M., & Reise, S. P. (2018) · The Clinical Neuropsychologist · doi:10.1080/13854046.2018.1521993 · Cited by 160
Preserved neural dynamics across animals performing similar behaviour
Safaie, M., Chang, J. C., Park, J., Miller, L. E., Dudman, J. T., Perich, M. G., & Gallego, J. Á. (2023) · Nature · doi:10.1038/s41586-023-06714-0 · Cited by 158
Herff, C., Krusienski, D. J., & Kubben, P. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00123 · Cited by 123
Deep brain stimulation for psychiatric disorders: From focal brain targets to cognitive networks
Sullivan, C. R. P., Olsen, S., & Widge, A. S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117515 · Cited by 112
Memristive synapses connect brain and silicon spiking neurons
Serb, A., Corna, A., George, R., Khiat, A., Rocchi, F., Reato, M., Maschietto, M., Mayr, C., Indiveri, G., Vassanelli, S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-58831-9 · Cited by 102
Modulation of Human Memory by Deep Brain Stimulation of the Entorhinal-Hippocampal Circuitry
Mankin, E. A., & Fried, I. (2020) · Neuron · doi:10.1016/j.neuron.2020.02.024 · Cited by 111
Neuroprosthetics: from sensorimotor to cognitive disorders
Gupta, A., Vardalakis, N., & Wagner, F. B. (2023) · Communications Biology · doi:10.1038/s42003-022-04390-w · Cited by 113
Cognitive Science: An Introduction to the Science of the Mind
Bermúdez, J. L. (2020) · Cited by 98
Brain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations
Slutzky, M. W. (2018) · The Neuroscientist · doi:10.1177/1073858418775355 · Cited by 86
Prefrontal cortex and cognitive control: new insights from human electrophysiology
Widge, A. S., Heilbronner, S. R., & Hayden, B. Y. (2019) · F1000Research · doi:10.12688/f1000research.20044.1 · Cited by 78
Medial temporal lobe functional connectivity predicts stimulation-induced theta power
Solomon, E. A., Kragel, J. E., Gross, R. E., Lega, B. C., Sperling, M. R., Worrell, G. A., Sheth, S. A., Zaghloul, K. A., Jobst, B. C., Stein, J. M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06876-w · Cited by 77
Welle, E. J., Patel, P. R., Woods, J. E., Petrossians, A., della Valle, E., Vega-Medina, A., Richie, J. M., Cai, D., Weiland, J. D., & Chestek, C. A. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab8343 · Cited by 68
Kawamura, K., & Kano, Y. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.01.015 · Cited by 52
Plasticity and Adaptation in Neuromorphic Biohybrid Systems
George, R., Chiappalone, M., Giugliano, M., Levi, T., Vassanelli, S., Partzsch, J., & Mayr, C. (2020) · iScience · doi:10.1016/j.isci.2020.101589 · Cited by 56
A Bidirectional Neural Interface SoC With Adaptive IIR Stimulation Artifact Cancelers
Samiei, A., & Hashemi, H. (2021) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2021.3056040 · Cited by 46
Chiappalone, M., Cota, V. R., Carè, M., Florio, M. D., Beaubois, R., Buccelli, S., Barban, F., Brofiga, M., Averna, A., Bonacini, F., et al. (2022) · Brain Sciences · doi:10.3390/brainsci12111578 · Cited by 45
Stimulation of the right entorhinal white matter enhances visual memory encoding in humans
Mankin, E. A., Aghajan, Z. M., Schuette, P. J., Tran, M. E., Tchemodanov, N., Titiz, A. S., Kalender, G., Eliashiv, D. S., Stern, J. M., Weiss, S. A., et al. (2020) · Brain stimulation · doi:10.1016/j.brs.2020.11.015 · Cited by 40
Synaptic Communication Engineering for Future Cognitive Brain–Machine Interfaces
Veletić, M., & Balasingham, I. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2915199 · Cited by 39
Changing temporal context in human temporal lobe promotes memory of distinct episodes
El-Kalliny, M. M., Wittig, J. H., Sheehan, T. C., Sreekumar, V., Inati, S. K., & Zaghloul, K. A. (2019) · Nature Communications · doi:10.1038/s41467-018-08189-4 · Cited by 41
Brain–computer interfaces for neuropsychiatric disorders
Oganesian, L. L., & Shanechi, M. M. (2024) · Nature Reviews Bioengineering · doi:10.1038/s44222-024-00177-2 · Cited by 47
Joseph, K., Kirsch, M., Johnston, M., Münkel, C., Stieglitz, T., Haas, C. A., & Hofmann, U. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.121230 · Cited by 36
Brain-Computer Interfaces: U.S. Military Applications and Implications, An Initial Assessment
Binnendijk, A., Marler, T., & Bartels, E. (2020) · RAND Corporation eBooks · doi:10.7249/rr2996 · Cited by 37
Ciliberti, D., Michon, F., & Kloosterman, F. (2018) · eLife · doi:10.7554/elife.36275 · Cited by 34
Takeda, K., & Torikai, H. (2020) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2020.2971786 · Cited by 31
A 512-Channel Multi-Layer Polymer-Based Neural Probe Array
Scholten, K., Larson, C. E., Xu, H., Song, D. B., & Meng, E. F. (2020) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2020.2999550 · Cited by 32
Self-citationGlannon, W. (2010) · Cambridge University Press eBooks · doi:10.1017/9781316443712 · Cited by 30
Treatments approved, boosts eschewed: Moral limits of neurotechnological enhancement
Koverola, M., Kunnari, A., Drosinou, M., Palomäki, J., Hannikainen, I. R., Košová, M. J., Kopecký, R., Sundvall, J. R. I., & Laakasuo, M. (2022) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2022.104351 · Cited by 30
Emery, B. A., Hu, X., Khanzada, S., Kempermann, G., & Amin, H. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115471 · Cited by 31
Direct electrical brain stimulation of human memory: lessons learnt and future perspectives
Kucewicz, M. T., Worrell, G. A., & Axmacher, N. (2022) · Brain · doi:10.1093/brain/awac435 · Cited by 27
Ahlgrim, N. S., & Manns, J. R. (2019) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2019.00087 · Cited by 27
Projections and the Potential Societal Impact of the Future of Neurotechnologies
Gaudry, K. S., Ayaz, H., Bedows, A., Celnik, P. A., Eagleman, D. M., Grover, P., Illes, J., Rao, R. P. N., Robinson, J. T., Thyagarajan, K., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.658930 · Cited by 28
Flexibility of functional neuronal assemblies supports human memory
Umbach, G. S., Tan, R., Jacobs, J., Pfeiffer, B. E., & Lega, B. C. (2022) · Nature Communications · doi:10.1038/s41467-022-33587-0 · Cited by 21
Fox, S. (2018) · Technologies · doi:10.3390/technologies6020050 · Cited by 24
A Neuromorphic CMOS Circuit With Self-Repairing Capability
Rahiminejad, E., Azad, F., Parvizi-Fard, A., Amiri, M., & Linares-Barranco, B. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3045019 · Cited by 22
Fang, H., & Yang, Y. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac7005 · Cited by 22
Delaying memory decline: different options and emerging solutions
Schneider, F., Horowitz, A., Lesch, K., & Dandekar, T. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0697-x · Cited by 23
On the origin of memory neurons in the human hippocampus
Kolibius, L. D., Josselyn, S. A., & Hanslmayr, S. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.01.013 · Cited by 17
Roeder, B. M., Shé, X., Dakos, A. S., Moore, B. J., Wicks, R. T., Witcher, M. R., Couture, D. E., Laxton, A. W., Clary, H. M. M., Popli, G., et al. (2024) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2024.1263311 · Cited by 16
Self-citationStimulation and Recording of the Hippocampus Using the Same Pt-Ir Coated Microelectrodes
Elyahoodayan, S., Jiang, W., Lee, C. D., Shao, X., Weiland, G. A., Whalen, J. J., Petrossians, A., & Song, D. B. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.616063 · Cited by 15
Self-citationDirect brain stimulation during episodic memory
Ezzyat, Y., & Rizzuto, D. S. (2018) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2018.11.004 · Cited by 15
Li, J., Zhang, W., Liao, Y., Qiu, Y., Zhu, Y., Zhang, X., & Wang, C. (2025) · Physics of Life Reviews · doi:10.1016/j.plrev.2025.08.007 · Cited by 18
Webler, R. D., Oathes, D. J., van Rooij, S. J. H., Gewirtz, J. C., Nahas, Z. H., Lissek, S. M., & Widge, A. S. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105005 · Cited by 14
Elyahoodayan, S., Jiang, W., Xu, H., & Song, D. B. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01011 · Cited by 12
Self-citationFunctional and anatomical connectivity predict brain stimulation’s mnemonic effects
Ezzyat, Y., Kragel, J. E., Solomon, E. A., Lega, B. C., Aronson, J. P., Jobst, B. C., Gross, R. E., Sperling, M. R., Worrell, G. A., Sheth, S. A., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad427 · Cited by 12
Why does invasive brain stimulation sometimes improve memory and sometimes impair it?
Mohan, U. R., & Jacobs, J. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002894 · Cited by 13
Cole, E. R., Eggers, T. E., Weiss, D. A., Connolly, M. J., Gombolay, M., Laxpati, N. G., & Gross, R. E. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad5407 · Cited by 12
Infusing cognitive neuroscience into the clinical neuropsychology of memory
McAndrews, M. P., Cohn, M., & Gold, D. A. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.01.011 · Cited by 12
Injecting Information into the Mammalian Cortex: Progress, Challenges, and Promise
Mazurek, K. A., & Schieber, M. H. (2020) · The Neuroscientist · doi:10.1177/1073858420936253 · Cited by 12
Shé, X., Robinson, B. S., Flynn, G., Berger, T. W., & Song, D. B. (2022) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2022.109492 · Cited by 11
Self-citationRoeder, B. M., Riley, M. R., Shé, X., Dakos, A. S., Robinson, B. S., Moore, B. J., Couture, D. E., Laxton, A. W., Popli, G., Clary, H. M. M., et al. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.933401 · Cited by 11
Self-citationLebedeva, A., Samburova, M. I., Razin, V. V., Gromov, N. V., Gerasimova, S. A., Levanova, T. A., Smirnov, L. A., & Pisarchik, A. N. (2024) · Algorithms · doi:10.3390/a17060252 · Cited by 11
Integration technology for replacing damaged brain areas with artificial neuronal networks
Lebedeva, A., Mishchenko, M. A., Bardina, P., Fedulina, A., Mironov, A. A., Zhuravleva, Z. D., Gerasimova, S. A., Mikhaylo, A., Pisarchik, A. N., & Kazantsev, V. (2020) · Scientific School Dynamics of Complex Networks and their Applications (DCNA) · doi:10.1109/dcnair50402.2020.9216941 · Cited by 10
Wicks, R. T., Witcher, M. R., Couture, D. E., Laxton, A. W., Popli, G., Whitlow, C. T., Fetterhoff, D., Dakos, A. S., Roeder, B. M., Deadwyler, S. A., et al. (2020) · Neurosurgical FOCUS · doi:10.3171/2020.4.focus20164 · Cited by 10
Self-citationSangodoyin, S., Ugurlu, E. M., Dey, M., Prvulović, M., & Zajic, A. G. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3094543 · Cited by 10
Shé, X., Berger, T. W., & Song, D. B. (2021) · Neural Computation · doi:10.1162/neco_a_01459 · Cited by 11
Self-citationMapping the emerging legal landscape for neuroprostheses: Human interests and legal resources
Akmazoglu, T. B., & Chandler, J. A. (2021) · Developments in neuroethics and bioethics · doi:10.1016/bs.dnb.2021.08.002 · Cited by 9
Heinrichs, J.-H., Rüther, M., Stake, M., & Ihde, J. (2022) · Verlag Karl Alber eBooks · doi:10.5771/9783495999615 · Cited by 8
Deep Learning Neural Encoders for Motor Cortex
Liang, K.-F., & Kao, J. C. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2955722 · Cited by 9
Pilly, P. K., Skorheim, S. W., Hubbard, R. J., Ketz, N., Roach, S. M., Lerner, I., Jones, A. P., Robert, B. M., Bryant, N. B., Hartholt, A., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01416 · Cited by 9
Learning management system for oil palm smallholder-owned plantations
Firmansyah, E., Nurjannah, D., Dinarti, S. I., Sudigyo, D., Suparyanto, T., & Pardamean, B. (2023) · AIP conference proceedings · doi:10.1063/5.0109194 · Cited by 9
Lebedeva, A., Gerasimova, S. A., Fedulina, A., Mishchenko, M. A., Beltyukova, A., Matveeva, M., Mikhaylov, A. N., Pisarchik, A. N., & Kazantsev, V. (2021) · International Conference Neurotechnologies and Neurointerfaces (CNN) · doi:10.1109/cnn53494.2021.9580201 · Cited by 8
Bingham, C. S., Mergenthal, A. R., Bouteiller, J. C., Song, D. B., Lazzi, G., & Berger, T. W. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00013 · Cited by 8
Self-citationA Novel Hardware-Oriented Recurrent Network of Asynchronous CA Neurons for a Neural Integrator
Takeda, K., & Torikai, H. (2021) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2021.3063932 · Cited by 9
Acceptability of Neuroscientific Interventions in Education
Schmied, A., Varma, S., & Dubinsky, J. M. (2021) · Science and Engineering Ethics · doi:10.1007/s11948-021-00328-3 · Cited by 10
Ethical and social aspects of neural prosthetics
Glannon, W. (2021) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ac23e6 · Cited by 10
Neuro-Inspired Reinforcement Learning to Improve Trajectory Prediction in Reward-Guided Behavior
Chen, B., Yang, S., Kuo, C., Chen, J., Lo, Y., Kuo, Y.-T., Lin, Y.-C., Chang, H.-C., Lin, S.-H., Yu, X., et al. (2022) · International Journal of Neural Systems · doi:10.1142/s0129065722500381 · Cited by 9
Transhumanism and Theological Anthropology: A Theological Examination of Transhumanism
Jung, D. (2022) · Neue Zeitschrift für Systematische Theologie und Religionsphilosophie · doi:10.1515/nzsth-2022-0009 · Cited by 8
Cui, X., Zhang, F., Zhang, H., Huang, X., Wang, K., Huang, T., Yang, X., & Zou, L. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.583628 · Cited by 8
When neuromodulation met control theory
Guidotti, R., Basti, A., Pieramico, G., D’Andrea, A., Makkinayeri, S., Pettorruso, M., Roine, T., Ziemann, U., Ilmoniemi, R. J., Romani, G. L., et al. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad9958 · Cited by 8
Shiomi, Y., Suzuki, H., & Torikai, H. (2024) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2024.3388549 · Cited by 7
Suzuki, H., & Torikai, H. (2022) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas48785.2022.9937691 · Cited by 7
Geng, K., Shin, D. C., Song, D. B., Hampson, R. E., Deadwyler, S. A., Berger, T. W., & Marmarelis, V. Z. (2019) · Neural Computation · doi:10.1162/neco_a_01204 · Cited by 7
Self-citationvan der Plas, M., Roux, F., Chelvarajah, R., Sawlani, V., Staresina, B. P., Wimber, M., Rollings, D. T., & Hanslmayr, S. (2025) · Brain stimulation · doi:10.1016/j.brs.2025.09.010 · Cited by 6
An FPGA-Based Neuron Activity Extraction Unit for a Wireless Neural Interface
Chowdhury, M. H., Elyahoodayan, S., Song, D. B., & Cheung, R. C. C. (2020) · Electronics · doi:10.3390/electronics9111834 · Cited by 6
Self-citationTowards precise synthetic neural codes: high-dimensional stimulation with flexible electrodes
Kim, R., Liu, Y., Zhang, J., Xie, C., & Luan, L. (2025) · npj Flexible Electronics · doi:10.1038/s41528-025-00447-y · Cited by 7
Enhancing cognition: The power of neuroplasticity
Mukhtar, I., & Iftikhar, K. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102882 · Cited by 7
Germani, F., Kellmeyer, P., Wäscher, S., & Biller‐Andorno, N. (2021) · Trends in biotechnology · doi:10.1016/j.tibtech.2021.04.007 · Cited by 5
Grinin, L. E., Леонидович, Г. А., & Korotayev, A. (2024) · World-systems evolution and global futures · doi:10.1007/978-3-031-56764-3_10 · Cited by 6
Neural–Computer Interfaces: Theory, Practice, Perspectives
Dubynin, I. A., Zemlyanskov, M. S., Shalayeva, I., Gorskii, O., Grinevich, V. P., & Евгеньевич, М. П. (2025) · Applied Sciences · doi:10.3390/app15168900 · Cited by 4
Neurosurgery and the Brain-Computer Interface
Rosenfeld, J. V. (2024) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-64892-2_32 · Cited by 5
Hwang, S., Hwang, Y., Kim, D., Lee, J., Choe, H. K., Lee, J., Kang, H., & Kung, J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1161592 · Cited by 4
Neural Manifold Constraint for Spike Prediction Models Under Behavioral Reinforcement
Wu, S., Zhang, X., & Wang, Y. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3435568 · Cited by 4
Venuto, G. D., Beaubois, R., Zahedi, S., Carè, M., Cheslet, J., Barban, F., Florio, M. D., Chiappalone, M., & Levi, T. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10781591 · Cited by 4
Glannon, W. (2021) · doi:10.1093/oso/9780198813910.001.0001 · Cited by 4
Neuromorphic Neural Interfaces
Broccard, F. D., Joshi, S., Wang, J., & Cauwenberghs, G. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_41-1 · Cited by 4
Wu, S., Song, Z., Zhang, X., Huang, Y., Chen, S., Shen, X., Tan, J., Li, M., Wang, Z., Chen, Y., et al. (2026) · Nature Computational Science · doi:10.1038/s43588-025-00915-5 · Cited by 5
The Neuroethics of Memory: From Total Recall to Oblivion
Glannon, W. (2019) · Cited by 4
Stockart, F., Robin, A., Blumenfeld, H., Brázdil, M., Kahane, P., Mudrik, L., Thum, J. A., Pereira, M., & Faivre, N. (2026) · eLife · doi:10.7554/elife.109604.4 · Cited by 5
Advancing neuroengineering with Neuromorphic Twins
Chiappalone, M., & Levi, T. (2026) · Nature Communications · doi:10.1038/s41467-026-68923-1 · Cited by 4
Liufu, M., Leveroni, Z. M., Shridhar, S., Zhou, N., & Yu, J. Y. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae10e1 · Cited by 3
Shé, X., Robinson, B. S., Berger, T. W., & Song, D. B. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9175490 · Cited by 3
Self-citationIshikawa, M., & Torikai, H. (2020) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn48605.2020.9207342 · Cited by 3
Gauttier, S., Arias-Oliva, M., Murata, K., & Borondo, J. P. (2024) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2024.100092 · Cited by 2
Enabling Neuroprostheses via Machine Learning
Chen, Q., Lin, P., Yu, Z., & Pan, G. (2025) · Machine Intelligence Research · doi:10.1007/s11633-025-1571-3 · Cited by 2
Molhoek, B. (2021) · HTS Teologiese Studies / Theological Studies · doi:10.4102/hts.v77i3.6728 · Cited by 2
(2020) · doi:10.1017/9781108339216 · Cited by 2
Metadata
- Authors
- Hampson, R. E., Song, D., Robinson, B. S., Fetterhoff, D., Dakos, A. S., Roeder, B. M., She, X., Wicks, R. T., Witcher, M. R., Couture, D. E., Laxton, A. W., Munger-Clary, H., Popli, G., Sollman, M. J., Whitlow, C. T., Marmarelis, V. Z., Berger, T. W., & Deadwyler, S. A.
- Affiliations
- Atrium Health Wake Forest Baptist (US)
- University of Southern California (US)
- University of Southern California
- Wake Forest Baptist Medical Center
- Corresponding author
- Hampson, Robert E
- ORCID
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2018-03-28
- Volume
- 15
- Issue
- 3
- Pages
- 036014
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- PMC
- PMC6576290
- OpenAlex
- W2795210532
- Cited by
- 224
- References
- 30
- Citations by year
- 2026: 18 · 2025: 18 · 2024: 22 · 2023: 21 · 2022: 28 · 2021: 35 · 2020: 25 · 2019: 44 · 2018: 12
- FWCI
- 17.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Defense Advanced Research Projects Agency (N66001-14-C-4016)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- memory encoding, memory retrieval, short-term memory, working memory, long-term memory retention, CA1, CA3, neuronal ensembles, electrical brain stimulation, delayed matching-to-sample, memory enhancement
- MeSH terms
- Electrodes, Implanted, Hippocampus, Humans, Memory, Short-Term, Psychomotor Performance, Mental Recall, Neural Prostheses
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review