{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T01:42:17Z","timestamp":1773193337940,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":80,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002920","name":"Research Grants Council, University Grants Committee","doi-asserted-by":"publisher","award":["11204722"],"award-info":[{"award-number":["11204722"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong Jockey Club","award":["2023-0108"],"award-info":[{"award-number":["2023-0108"]}]},{"DOI":"10.13039\/501100017649","name":"Hong Kong Government","doi-asserted-by":"publisher","award":["Global STEM Professorship"],"award-info":[{"award-number":["Global STEM Professorship"]}],"id":[{"id":"10.13039\/501100017649","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,4]]},"DOI":"10.1145\/3636534.3690673","type":"proceedings-article","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T23:13:18Z","timestamp":1733353998000},"page":"984-999","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Neuralite: Enabling Wireless High-Resolution Brain-Computer Interfaces"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2323-5913","authenticated-orcid":false,"given":"Hongyao","family":"Liu","sequence":"first","affiliation":[{"name":"Computer Science, City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8929-7522","authenticated-orcid":false,"given":"Junyi","family":"Wang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7690-4853","authenticated-orcid":false,"given":"Liuqun","family":"Zhai","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1079-3871","authenticated-orcid":false,"given":"Yuguang","family":"Fang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6862-4122","authenticated-orcid":false,"given":"Jun","family":"Huang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Noema: Hardware-Efficient Template Matching for Neural Population Pattern Detection. In MICRO'21","author":"Abdelhadi Ameer M. S.","year":"2021","unstructured":"Ameer M. S. Abdelhadi, Eugene Sha, Ciaran Bannon, Hendrik Steenland, and Andreas Moshovos. 2021. Noema: Hardware-Efficient Template Matching for Neural Population Pattern Detection. In MICRO'21."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"A Bolu Ajiboye Francis R Willett Daniel R Young William D Memberg Brian A Murphy Jonathan P Miller Benjamin L Walter Jennifer A Sweet Harry A Hoyen Michael W Keith et al. 2017. Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration. The Lancet (2017).","DOI":"10.1016\/S0140-6736(17)30601-3"},{"key":"e_1_3_2_1_3_1","volume-title":"Measuring the firing rate of high-resistance neurons with cell-attached recording. Journal of Neuroscience","author":"Alcami Pepe","year":"2012","unstructured":"Pepe Alcami, Romain Franconville, Isabel Llano, and Alain Marty. 2012. Measuring the firing rate of high-resistance neurons with cell-attached recording. Journal of Neuroscience (2012)."},{"key":"e_1_3_2_1_4_1","volume-title":"LLC","author":"Microsystems Blackrock","year":"2020","unstructured":"Blackrock Microsystems, LLC 2020. CerePlex W. Blackrock Microsystems, LLC. https:\/\/blackrockneurotech.com\/wp-content\/uploads\/LB-0805-CerePlex_W-IFU.pdf."},{"key":"e_1_3_2_1_5_1","volume-title":"Milind Deogaonkar, and Ali R. Rezai.","author":"Bouton Chad E.","year":"2016","unstructured":"Chad E. Bouton, Ammar Shaikhouni, Nicholas V. Annetta, Marcia A. Bockbrader, David A. Friedenberg, Dylan M. Nielson, Gaurav Sharma, Per B. Sederberg, Bradley C. Glenn, W. Jerry Mysiw, Austin G. Morgan, Milind Deogaonkar, and Ali R. Rezai. 2016. Restoring cortical control of functional movement in a human with quadriplegia. Nature (2016)."},{"key":"e_1_3_2_1_6_1","volume-title":"Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task. Scientific data","author":"Brochier Thomas","year":"2018","unstructured":"Thomas Brochier, Lyuba Zehl, Yaoyao Hao, Margaux Duret, Julia Sprenger, Michael Denker, Sonja Gr\u00fcn, and Alexa Riehle. 2018. Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task. Scientific data (2018)."},{"key":"e_1_3_2_1_7_1","volume-title":"Microelectrode recordings in human epilepsy: a case for clinical translation. Brain Communications","author":"Chari Aswin","year":"2020","unstructured":"Aswin Chari, Rachel C Thornton, Martin M Tisdall, and Rodney C Scott. 2020. Microelectrode recordings in human epilepsy: a case for clinical translation. Brain Communications (2020)."},{"key":"e_1_3_2_1_8_1","unstructured":"clumsy 0.3 2023. https:\/\/jagt.github.io\/clumsy\/."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405887"},{"key":"e_1_3_2_1_10_1","volume-title":"Power-saving design opportunities for wireless intracortical brain-computer interfaces. Nature biomedical engineering","author":"Even-Chen Nir","year":"2020","unstructured":"Nir Even-Chen, Dante G Muratore, Sergey D Stavisky, Leigh R Hochberg, Jaimie M Henderson, Boris Murmann, and Krishna V Shenoy. 2020. Power-saving design opportunities for wireless intracortical brain-computer interfaces. Nature biomedical engineering (2020)."},{"key":"e_1_3_2_1_11_1","volume-title":"Gaunt","author":"Flesher Sharlene N.","year":"2021","unstructured":"Sharlene N. Flesher, John E. Downey, Jeffrey M. Weiss, Christopher L. Hughes, Angelica J. Herrera, Elizabeth C. Tyler-Kabara, Michael L. Boninger, Jennifer L. Collinger, and Robert A. Gaunt. 2021. A brain-computer interface that evokes tactile sensations improves robotic arm control. Science (2021)."},{"key":"e_1_3_2_1_12_1","volume-title":"Spike sorting: the first step in decoding the brain","author":"Gibson Sarah","year":"2012","unstructured":"Sarah Gibson, Jack W. Judy, and Dejan Markovi\u0107. 2012. Spike sorting: the first step in decoding the brain. IEEE Signal Processing Magazine (2012)."},{"key":"e_1_3_2_1_13_1","volume-title":"Diversity in neural firing dynamics supports both rigid and learned hippocampal sequences. Science","author":"Grosmark Andres D","year":"2016","unstructured":"Andres D Grosmark and Gy\u00f6rgy Buzs\u00e1ki. 2016. Diversity in neural firing dynamics supports both rigid and learned hippocampal sequences. Science (2016)."},{"key":"e_1_3_2_1_14_1","volume-title":"EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications","author":"Gu Xiaotong","year":"2021","unstructured":"Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, and Chin-Teng Lin. 2021. EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications. IEEE\/ACM Transactions on Computational Biology and Bioinformatics (2021)."},{"key":"e_1_3_2_1_15_1","volume-title":"ISSCC'13","author":"Han Dong","year":"2013","unstructured":"Dong Han, Yuanjin Zheng, Ramamoorthy Rajkumar, Gavin Dawe, and Minkyu Je. 2013. A 0.45V 100-channel neural-recording IC with sub-\u03bcW\/channel consumption in 0.18\u03bcm CMOS. In ISSCC'13."},{"key":"e_1_3_2_1_16_1","volume-title":"DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning. In Infocom'24.","author":"Han Lixiang","year":"2024","unstructured":"Lixiang Han, Zhen Xiao, and Zhenjiang Li. 2024. DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning. In Infocom'24."},{"key":"e_1_3_2_1_17_1","volume-title":"Dally","author":"Han Song","year":"2016","unstructured":"Song Han, Xingyu Liu, Huizi Mao, Jing Pu, and William J. Dally. 2016. EIE: Efficient Inference Engine on Compressed Deep Neural Network. In ISCA'16."},{"key":"e_1_3_2_1_18_1","volume-title":"Dally","author":"Han Song","year":"2016","unstructured":"Song Han, Huizi Mao, and William J. Dally. 2016. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding. In ICLR'16."},{"key":"e_1_3_2_1_19_1","volume-title":"AMC: AutoML for Model Compression and Acceleration on Mobile Devices. In ECCV'18","author":"He Yihui","year":"2018","unstructured":"Yihui He, Zhijian Liu, Hanrui Wang, Li-Jia Li, and Song Han. 2018. AMC: AutoML for Model Compression and Acceleration on Mobile Devices. In ECCV'18."},{"key":"e_1_3_2_1_20_1","volume-title":"Data compression in brain-machine\/computer interfaces based on the Walsh-Hadamard transform","author":"Hosseini-Nejad Hossein","year":"2013","unstructured":"Hossein Hosseini-Nejad, Abumoslem Jannesari, and Amir M Sodagar. 2013. Data compression in brain-machine\/computer interfaces based on the Walsh-Hadamard transform. IEEE Transactions on Biomedical Circuits and Systems (2013)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383267"},{"key":"e_1_3_2_1_22_1","volume-title":"Intan Technologies. Updated","author":"Channel Headstage Intan Technologies","year":"2020","unstructured":"Intan Technologies 2015. RHD 128-Channel Headstage. Intan Technologies. Updated 31 January 2020, https:\/\/intantech.com\/files\/Intan_RHD2000_128_channel_headstage.pdf."},{"key":"e_1_3_2_1_23_1","unstructured":"iperf2023. https:\/\/github.com\/esnet\/iperf."},{"key":"e_1_3_2_1_24_1","volume-title":"Chestek","author":"Irwin Zachary T.","year":"2016","unstructured":"Zachary T. Irwin, David E. Thompson, Karen E. Schroeder, Derek M. Tat, Ali Hassani, Autumn J. Bullard, Shoshana L. Woo, Melanie G. Urbanchek, Adam J. Sachs, Paul S. Cederna, William C. Stacey, Parag G. Patil, and Cynthia A. Chestek. 2016. Enabling Low-Power, Multi-Modal Neural Interfaces Through a Common, Low-Bandwidth Feature Space. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016)."},{"key":"e_1_3_2_1_25_1","volume-title":"Chronically implanted Neuropixels probes enable high-yield recordings in freely moving mice. eLife","author":"Juavinett Ashley L","year":"2019","unstructured":"Ashley L Juavinett, George Bekheet, and Anne K Churchland. 2019. Chronically implanted Neuropixels probes enable high-yield recordings in freely moving mice. eLife (2019)."},{"key":"e_1_3_2_1_26_1","unstructured":"James J Jun Nicholas A Steinmetz Joshua H Siegle Daniel J Denman Marius Bauza Brian Barbarits Albert K Lee Costas A Anastassiou Alexandru Andrei \u00c7a\u011fatay Aydin et al. 2017. Fully integrated silicon probes for high-density recording of neural activity. Nature (2017)."},{"key":"e_1_3_2_1_27_1","volume-title":"Ince","author":"Kaku Heet","year":"2019","unstructured":"Heet Kaku, Musa Ozturk, Ashwin Viswanathan, Joohi Jimenez-Shahed, Sameer Sheth, and Nuri F. Ince. 2019. Grouping Neuronal Spiking Patterns in the Subthalamic Nucleus of Parkinsonian Patients. In IEEE EMBS'19."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA45697.2020.00041"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2013.2264616"},{"key":"e_1_3_2_1_30_1","unstructured":"Kilosort eMouse 2020. https:\/\/github.com\/MouseLand\/Kilosort\/wiki\/4.-eMouse-simulator-with-drift\/."},{"key":"e_1_3_2_1_31_1","unstructured":"Hongyao Liu Junyi Wang Xi Chen and Jun Huang. 2024. Neuron-Aware Brain-to-Computer Communication for Wireless Intracortical BCI. In ACM HotMobile'24."},{"key":"e_1_3_2_1_32_1","unstructured":"Luyang Liu Hongyu Li and Marco Gruteser. 2019. Edge Assisted Real-time Object Detection for Mobile Augmented Reality. In ACM MobiCom'19."},{"key":"e_1_3_2_1_33_1","volume-title":"Marco Ballini, Shiwei Wang, Alexandru Andrei, Veronique Rochus, Roeland Vandebriel, Simone Severi, Chris Van Hoof, et al.","author":"Lopez Carolina Mora","year":"2017","unstructured":"Carolina Mora Lopez, Jan Putzeys, Bogdan Cristian Raducanu, Marco Ballini, Shiwei Wang, Alexandru Andrei, Veronique Rochus, Roeland Vandebriel, Simone Severi, Chris Van Hoof, et al. 2017. A Neural Probe with Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13 \u03bcm SOI CMOS. IEEE transactions on biomedical circuits and systems (2017)."},{"key":"e_1_3_2_1_34_1","volume-title":"Chang","author":"Metzger Sean L.","year":"2023","unstructured":"Sean L. Metzger, Kaylo T. Littlejohn, Alexander B. Silva, David A. Moses, Margaret P. Seaton, Ran Wang, Maximilian E. Dougherty, Jessie R. Liu, Peter Wu, Michael A. Berger, Inga Zhuravleva, Adlyn TuChan, Karunesh Ganguly, Gopala K. Anumanchipalli, and Edward F. Chang. 2023. A high-performance neuroprosthesis for speech decoding and avatar control. Nature (2023)."},{"key":"e_1_3_2_1_35_1","volume-title":"Staff","author":"Miller Kai J.","year":"2020","unstructured":"Kai J. Miller, Dora Hermes, and Nathan P. Staff. 2020. The current state of electrocorticography-based brain-computer interfaces. Journal of Neurosurgery (2020)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Elon Musk et al. 2019. An integrated brain-machine interface platform with thousands of channels. Journal of medical Internet research (2019).","DOI":"10.2196\/preprints.16194"},{"key":"e_1_3_2_1_37_1","unstructured":"NeuraLynx. 2024. FreeLynx user manual. https:\/\/neuralynx.fh-co.com\/wp-content\/uploads\/2023\/06\/FreeLynx_User_Manual.pdf."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Jonathan P Newman Jie Zhang Aaron Cuevas-Lopez Nicholas J Miller Takato Honda Marie-Sophie H van der Goes Alexandra H Leighton Filipe Carvalho Goncalo Lopes Anna Lakunina et al. 2023. A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior. bioRxiv (2023).","DOI":"10.1101\/2023.08.30.554672"},{"key":"e_1_3_2_1_39_1","volume-title":"Imperial College London [n. d.]. Scalable Neural Recording Interface with Real-time Spike Sorting. Next Generation Neural Interfaces (NGNI) Lab","author":"Neural Next Generation","unstructured":"Next Generation Neural Interfaces (NGNI) Lab, Imperial College London [n. d.]. Scalable Neural Recording Interface with Real-time Spike Sorting. Next Generation Neural Interfaces (NGNI) Lab, Imperial College London. https:\/\/www.imperial.ac.uk\/media\/imperial-college\/research-centres-and-groups\/neural-interfaces\/ngni_v1_rev3.3_forweb.pdf."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Paul Nuyujukian Jose Albites Sanabria Jad Saab Chethan Pandarinath Beata Jarosiewicz Christine H. Blabe Brian Franco Stephen T. Mernoff Emad N. Eskandar John D. Simeral Leigh R. Hochberg Krishna V. Shenoy and Jaimie M. Henderson. 2018. Cortical control of a tablet computer by people with paralysis. PLOS ONE (2018).","DOI":"10.1371\/journal.pone.0204566"},{"key":"e_1_3_2_1_41_1","unstructured":"OpenCV 2023. https:\/\/github.com\/opencv\/opencv."},{"key":"e_1_3_2_1_42_1","unstructured":"OpenMP 2023. https:\/\/www.openmp.org\/."},{"key":"e_1_3_2_1_43_1","volume-title":"Spike sorting with Kilosort4. Nature Methods","author":"Pachitariu Marius","year":"2024","unstructured":"Marius Pachitariu, Shashwat Sridhar, Jacob Pennington, and Carsen Stringer. 2024. Spike sorting with Kilosort4. Nature Methods (2024)."},{"key":"e_1_3_2_1_44_1","volume-title":"Solving the spike sorting problem with Kilosort. bioRxiv","author":"Pachitariu Marius","year":"2023","unstructured":"Marius Pachitariu, Shashwat Sridhar, and Carsen Stringer. 2023. Solving the spike sorting problem with Kilosort. bioRxiv (2023)."},{"key":"e_1_3_2_1_45_1","unstructured":"Marius Pachitariu Nicholas A Steinmetz Shabnam N Kadir Matteo Carandini and Kenneth D Harris. 2016. Fast and accurate spike sorting of high-channel count probes with KiloSort. In NeurIPS'16."},{"key":"e_1_3_2_1_46_1","volume-title":"Early Detection of Human Epileptic Seizures Based on Intracortical Micro-electrode Array Signals","author":"Park Yun S.","year":"2020","unstructured":"Yun S. Park, G. Rees Cosgrove, Joseph R. Madsen, Emad N. Eskandar, Leigh R. Hochberg, Sydney S. Cash, and Wilson Truccolo. 2020. Early Detection of Human Epileptic Seizures Based on Intracortical Micro-electrode Array Signals. IEEE Transactions on Biomedical Engineering (2020)."},{"key":"e_1_3_2_1_47_1","unstructured":"Angelique C Paulk Yoav Kfir Arjun R Khanna Martina L Mustroph Eric M Trautmann Dan J Soper Sergey D Stavisky Marleen Welkenhuysen Barundeb Dutta Krishna V Shenoy et al. 2022. Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex. Nature Neuroscience (2022)."},{"key":"e_1_3_2_1_48_1","volume-title":"Moore","author":"Perkel Donald H.","year":"1967","unstructured":"Donald H. Perkel, George L. Gerstein, and George P. Moore. 1967. Neuronal Spike Trains and Stochastic Point Processes. (1967)."},{"key":"e_1_3_2_1_49_1","unstructured":"John G Proakis and Masoud Salehi. 2008. Digital communications."},{"key":"e_1_3_2_1_50_1","unstructured":"Reuters. 2024. Neuralink's first human patient able to control mouse through thinking. https:\/\/www.reuters.com\/business\/healthcare-pharmaceuticals\/."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","unstructured":"Jaime de la Rocha Brent Dorion Eric Shea-Brown Kresimir Josic and Alex Reyes. 2007. Correlation between neural spike trains increases with firing rate. (2007).","DOI":"10.1038\/nature06028"},{"key":"e_1_3_2_1_52_1","volume-title":"Clustering by fast search and find of density peaks. Science","author":"Rodriguez Alex","year":"2014","unstructured":"Alex Rodriguez and Alessandro Laio. 2014. Clustering by fast search and find of density peaks. Science (2014)."},{"key":"e_1_3_2_1_53_1","volume-title":"John Schulman, Maximilian LD Hunter, Aman B Saleem, Andres Grosmark, Mariano Belluscio, George H Denfield, Alexander S Ecker, et al.","author":"Rossant Cyrille","year":"2016","unstructured":"Cyrille Rossant, Shabnam N Kadir, Dan FM Goodman, John Schulman, Maximilian LD Hunter, Aman B Saleem, Andres Grosmark, Mariano Belluscio, George H Denfield, Alexander S Ecker, et al. 2016. Spike sorting for large, dense electrode arrays. Nature neuroscience (2016)."},{"key":"e_1_3_2_1_54_1","volume-title":"Impact of correlated synaptic input on output firing rate and variability in simple neuronal models. Journal of neuroscience","author":"Salinas Emilio","year":"2000","unstructured":"Emilio Salinas and Terrence J Sejnowski. 2000. Impact of correlated synaptic input on output firing rate and variability in simple neuronal models. Journal of neuroscience (2000)."},{"key":"e_1_3_2_1_55_1","volume-title":"Brain-computer symbiosis. Journal of Neural Engineering","author":"Schalk Gerwin","year":"2021","unstructured":"Gerwin Schalk. 2021. Brain-computer symbiosis. Journal of Neural Engineering (2021)."},{"key":"e_1_3_2_1_56_1","volume-title":"Jin Hwa Lee, and Mackenzie Weygandt Mathis","author":"Schneider Steffen","year":"2023","unstructured":"Steffen Schneider, Jin Hwa Lee, and Mackenzie Weygandt Mathis. 2023. Learnable latent embeddings for joint behavioural and neural analysis. Nature (2023)."},{"key":"e_1_3_2_1_57_1","volume-title":"Marple: Scalable Spike Sorting for Untethered Brain-Machine Interfacing. In ASPLOS'24","author":"Sha Eugene","year":"2024","unstructured":"Eugene Sha, Andy Liu, Kareem Ibrahim, Mostafa Mahmoud, Christina Giannoula, Ameer Abdelhadi, and Andreas Moshovos. 2024. Marple: Scalable Spike Sorting for Untethered Brain-Machine Interfacing. In ASPLOS'24."},{"key":"e_1_3_2_1_58_1","volume-title":"A method for compression of intra-cortically-recorded neural signals dedicated to implantable brain-machine interfaces","author":"Shaeri Mohammad Ali","year":"2014","unstructured":"Mohammad Ali Shaeri and Amir M Sodagar. 2014. A method for compression of intra-cortically-recorded neural signals dedicated to implantable brain-machine interfaces. IEEE Transactions on Neural systems and Rehabilitation Engineering (2014)."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSCCN.2011.6024570"},{"key":"e_1_3_2_1_60_1","unstructured":"Joshua H Siegle Xiaoxuan Jia S\u00e9verine Durand Sam Gale Corbett Bennett Nile Graddis Greggory Heller Tamina K Ramirez Hannah Choi Jennifer A Luviano et al. 2021. Survey of spiking in the mouse visual system reveals functional hierarchy. Nature (2021)."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3069119"},{"key":"e_1_3_2_1_62_1","unstructured":"Merrill Ivan Skolnik et al. 1980. Introduction to radar systems."},{"key":"e_1_3_2_1_63_1","volume-title":"SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing. In ISCA'23","author":"Sriram Karthik","year":"2023","unstructured":"Karthik Sriram, Raghavendra Pradyumna Pothukuchi, Micha\u0142 Gerasimiuk, Muhammed Ugur, Oliver Ye, Rajit Manohar, Anurag Khandelwal, and Abhishek Bhattacharjee. 2023. SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing. In ISCA'23."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"crossref","unstructured":"Nicholas A Steinmetz Cagatay Aydin Anna Lebedeva Michael Okun Marius Pachitariu Marius Bauza Maxime Beau Jai Bhagat Claudia B\u00f6hm Martijn Broux et al. 2021. Neuropixels 2.0: A miniaturized high-density probe for stable long-term brain recordings. Science (2021).","DOI":"10.1126\/science.abf4588"},{"key":"e_1_3_2_1_65_1","volume-title":"How advances in neural recording affect data analysis. Nature neuroscience","author":"Stevenson Ian H","year":"2011","unstructured":"Ian H Stevenson and Konrad P Kording. 2011. How advances in neural recording affect data analysis. Nature neuroscience (2011)."},{"key":"e_1_3_2_1_66_1","unstructured":"Espressif Systems. 2019. ESP32 datasheet. https:\/\/www.espressif.com\/sites\/default\/files\/documentation\/32_datasheet_en.pdf."},{"key":"e_1_3_2_1_67_1","volume-title":"Flexible brain-computer interfaces. Nature Electronics","author":"Tang Xin","year":"2023","unstructured":"Xin Tang, Hao Shen, Siyuan Zhao, Na Li, and Jia Liu. 2023. Flexible brain-computer interfaces. Nature Electronics (2023)."},{"key":"e_1_3_2_1_68_1","volume-title":"To sort or not to sort: the impact of spike-sorting on neural decoding performance. Journal of neural engineering","author":"Todorova Sonia","year":"2014","unstructured":"Sonia Todorova, Patrick Sadtler, Aaron Batista, Steven Chase, and Val\u00e9rie Ventura. 2014. To sort or not to sort: the impact of spike-sorting on neural decoding performance. Journal of neural engineering (2014)."},{"key":"e_1_3_2_1_69_1","volume-title":"Churchland","author":"Urai Anne E.","year":"2022","unstructured":"Anne E. Urai, Brent Doiron, Andrew M. Leifer, and Anne K. Churchland. 2022. Large-scale neural recordings call for new insights to link brain and behavior. Nature Neuroscience (2022)."},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2024.3359994"},{"key":"e_1_3_2_1_71_1","unstructured":"Saskia EJ de Vries Jerome A Lecoq Michael A Buice Peter A Groblewski Gabriel K Ocker Michael Oliver David Feng N Cain P Ledochowitsch D Millman et al. 2020. A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex. Nature neuroscience (2020)."},{"key":"e_1_3_2_1_72_1","volume-title":"Foram Kamdar, Matthew F. Glasser, Leigh R. Hochberg, Shaul Druckmann, Krishna V. Shenoy, and Jaimie M. Henderson.","author":"Willett Francis","year":"2023","unstructured":"Francis Willett, Erin Kunz, Chaofei Fan, Donald Avansino, Guy Wilson, Eun Young Choi, Foram Kamdar, Matthew F. Glasser, Leigh R. Hochberg, Shaul Druckmann, Krishna V. Shenoy, and Jaimie M. Henderson. 2023. A high-performance speech neuroprosthesis. Nature (2023)."},{"key":"e_1_3_2_1_73_1","volume-title":"High-performance brain-to-text communication via handwriting. Nature","author":"Willett Francis R","year":"2021","unstructured":"Francis R Willett, Donald T Avansino, Leigh R Hochberg, Jaimie M Henderson, and Krishna V Shenoy. 2021. High-performance brain-to-text communication via handwriting. Nature (2021)."},{"key":"e_1_3_2_1_74_1","volume-title":"Deep compressive autoencoder for action potential compression in large-scale neural recording. Journal of neural engineering","author":"Wu Tong","year":"2018","unstructured":"Tong Wu, Wenfeng Zhao, Edward Keefer, and Zhi Yang. 2018. Deep compressive autoencoder for action potential compression in large-scale neural recording. Journal of neural engineering (2018)."},{"key":"e_1_3_2_1_75_1","volume-title":"Microelectrode Arrays Modified with Nanocomposites for Monitoring Dopamine and Spike Firings under Deep Brain Stimulation in Rat Models of Parkinson's Disease. ACS Sensors","author":"Xiao Guihua","year":"2019","unstructured":"Guihua Xiao, Yilin Song, Yu Zhang, Yu Xing, Hongyan Zhao, Jingyu Xie, Shengwei Xu, Fei Gao, Mixia Wang, Guogang Xing, and Xinxia Cai. 2019. Microelectrode Arrays Modified with Nanocomposites for Monitoring Dopamine and Spike Firings under Deep Brain Stimulation in Rat Models of Parkinson's Disease. ACS Sensors (2019)."},{"key":"e_1_3_2_1_76_1","volume-title":"Ralph Etienne-Cummings, and Trac D Tran.","author":"Xiong Tao","year":"2018","unstructured":"Tao Xiong, Jie Zhang, Clarissa Martinez-Rubio, Chetan S Thakur, Emad N Eskandar, Sang Peter Chin, Ralph Etienne-Cummings, and Trac D Tran. 2018. An unsupervised compressed sensing algorithm for multi-channel neural recording and spike sorting. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018)."},{"key":"e_1_3_2_1_77_1","volume-title":"Elric Esposito, Baptiste Lefebvre, Stephane Deny, Christophe Gardella, Marcel Stimberg, Florian Jetter, Guenther Zeck, Serge Picaud, et al.","author":"Yger Pierre","year":"2018","unstructured":"Pierre Yger, Giulia LB Spampinato, Elric Esposito, Baptiste Lefebvre, Stephane Deny, Christophe Gardella, Marcel Stimberg, Florian Jetter, Guenther Zeck, Serge Picaud, et al. 2018. A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo. eLife (2018)."},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"crossref","unstructured":"Qizheng ZHANG Kuntai Du Neil Agarwal Ravi Netravali and Junchen Jiang. 2022. Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading. In ACM HotMobile'22.","DOI":"10.1145\/3447993.3448628"},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"crossref","unstructured":"Wuyang Zhang Zhezhi He Luyang Liu Zhenhua Jia Yunxin Liu Marco Gruteser Dipankar Raychaudhuri and Yanyong Zhang. 2021. Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading. In ACM MobiCom'21.","DOI":"10.1145\/3447993.3448628"},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2017.2779503"}],"event":{"name":"ACM MobiCom '24: 30th Annual International Conference on Mobile Computing and Networking","location":"Washington D.C. DC USA","acronym":"ACM MobiCom '24","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the 30th Annual International Conference on Mobile Computing and Networking"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3636534.3690673","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3636534.3690673","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:36Z","timestamp":1750295856000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3636534.3690673"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,4]]},"references-count":80,"alternative-id":["10.1145\/3636534.3690673","10.1145\/3636534"],"URL":"https:\/\/doi.org\/10.1145\/3636534.3690673","relation":{},"subject":[],"published":{"date-parts":[[2024,12,4]]},"assertion":[{"value":"2024-12-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}