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NameTime ZoneEmailBackgroundPreferred contribution type, questions, proposals and/or hypothesesAvailable for administrative works?Wants to be a topic leader?Note@dropdown
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Makoto MiyakoshiGMT-5 (Ohio, USA)mmiyakoshi@ucsd.eduExperimental and clinical psychology, Signal ProcessingCable theory (simulation), Skepticism (unpublished observations)YesYescore
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Cedric CannardGMT-8ccannard@pm.meSignal processing, EEG methods, heartbeat-evoked potentials, entropy, attention, visual perception, iEEG, MRINew GLM for separating periodic/aperiodic components (if needed) / skepticism (unpublished observations) / investigate HEP-aperiodic relationship YesYescore
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Mate Gyurkovicscore
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Ivano TriggianiGMT-5ivanotriggiani@gmail.comsignal processing, neurophysiology, EEG, ERP, MEGParameter optimization, artifact correction, pre-processing pipeline YesYes
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Toby J EllmersGMT+11t.ellmers@imperial.ac.ukCognitive neuroscience (mobile EEG during motor and sensory processing)Data, analysis, interpretation, manuscript writingYesNo
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Maruti MishraCalifornia (USAmaruti.mishra07@gmail.comCognitive neuroscience (64 channel Biosemi, ERP expertise, EEG analysis for brain waves)
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Meha FatimaGMT+5meha.fatima@duhs.edu.pk; mehafatima1@gmail.comMolecular Medicine, Psychophysiology, Neurofeedback, signal processing, Bayesian analysisquestions, datafield transition from molecular neuroscience to cognition, Postdoc in visual psychophysics (little background with coding)
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Tzvetomir TzvetanovGMT+1t.tzvetanov@neuropsyphy.iosensory psychology, modelling, visual perception, EEG, emotionICs origins and different contributions to 1/f, selfwritten pipeline processing (from rawdata) based on the 2 open toolboxes, decision making & psychophysicsyeshave some idea, maybe coleadervisual psychophysicist, physics bgnd
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Efthymios PapatzikisGMT+4efp331@mail.harvard.eduneuroscience and medical psychology, EEG, premature infants, NICU, auditory developmentEEG Pre-processing, Implementation and Interpretation in premature infant brain NoIf related to infants, YES
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Nandhini NatarajanGMT + 2nandhini.n.natarajan@jyu.fiMEG (FOOOF), EEG YesNo
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Dominic Roe
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Hanna SzakacsGMT+1szakacsmiriamhanna@gmail.comEEG (mostly resting state), developmental neuoscienceWriting (1/f changes across development and how it's interpreted)
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Adam Naplesajn23@cornell.eduEEG ERP developmental neuroscience.
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Jinwon Chang
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Samuel Mugglestone
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Rodrigo Jhampier Caceres RoblesGMT-5rcaceresrobles@gmail.com
Neuroscience. Epilepsy, EEG features as biomarkers. Detection algorithms for seizure and inter-ictal discharge detection.
EEG data preprocessing, literature review, data analysis. I enjoy doing plots and visualizations.YesNo
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Gabriel GomideGMT-3gabrielfdgomide@gmail.comEEG, ERPs, memory and emotionYesNo
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Renzo Lanfranco
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Jamie O'ReillyGMT+7jamie.or@kmitl.ac.thERP analysis methodsDevelop data-driven method of spectral EEG source separation
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Jonathan Phoon Ngok JunGMT+8e0462828@u.nus.eduOlfactory ERPCoordination/consolidation. There are many domain experts here, so I can be a bridge if neededYesNoPhD student
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Arnaud DelormeThe EEGLAB developer!
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Hsin-Yuan ChenGMT+0hchen@brookes.ac.ukExperimental and cognitive psychology, NeuropsychologyArtifact correction, Pipeline sharing; How preprocessing affects 1/f estimation, Comparison of extraction methodsYesNo
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Chris French
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Subhamoy MandalGMT+5:30smandal@smst.iitkgp.ac.inMedical Imaging, Neuroscience, Artificial IntelligenceMentorship, EEGLAB, Signal Processing, Image Processing - Professor YesYesProfessor in AI for Medical Imaging and Neuroscience
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Siddhesh SalfaleGMT +5.30siddheshsalphale@gmail.comComputational Neuroscience, Brain Computer Interfaces, Artificial Intelligence, EEG, fMRI, fNIRSYesNoResearcher in Computational Neuroscience
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Gunjana DhakadGMT +5.30gunjandhakad2003@gmail.comSignal processing, Image Processing, EEG, fMRI, Machine Learning, NeuroscienceNoNoResearcher in Signal Processing and Machine learning with background in EEG
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Fateme Khatami
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Zhewen GuoGMT -5zg2567@columbia.edusignal processing, EEG, ERP, computer vision, deep learning
Maybe I can leverage the 1/f spectral structure of EEG signals to optimize preprocessing and improve SNR, thereby evaluating the practical role of 1/f modeling in BCI signal preprocessing (e.g., in ERP or alpha-band detection experiments).
NoNoA first-year master's student working in the Columbia BCI Lab this semester.
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Valentina BiancoGMTvalentina.bianco@unipv.itERPs, RSA, Action prediction and anticipation, sport, TMS, tDCS, Contribution of 1/f to slow wave potentials. Applications in sport and clinical populationsYesNo
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Giorgio Di LorenzoGMT +1di.lorenzo@med.uniroma2.itPsychophysiology and cognitive neuroscience in psychiatric disordersPsychophysiology and cognitive neuroscience in psychiatric disorders
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Sara KamaliGMT +1sara.kamali@gmail.comEEG, Signal proc. (Telecom), Nonlinear and complex sys.
Contribution: don't know yet! Questions: How stable are 1/f parameters across short windows within an individual, and what are the minimal data requirements for reliable estimation? What are the functional advantages of 1/f structure, and how might it support inter-areal coordination relative to narrowband oscillations?
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Diego Lozano-SoldevillaGMT +1dlozanosoldevilla@gmail.comMEG, EEG, stereotactic EEG, signal processing, FieldTrip developer, spectral analysis, Machine LearningData analysis and modelling of the 1/f with implementions to EEGLAB and Fieldtrip. Funding for publication fees.YesYesPrincipal Investigador and Research Fellow
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Bjørn Erik JuelGMT +1B.e.juel@medisin.uio.no
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James StreetGMTjames.street.12@ucl.ac.uk
Rodent ephys (EEG/ECoG/LFP/single unit recordings), signal processing, neural encoding of space, epilepsy/neurological disease
Not sure - happy to be involved any way! Currently looking at role of 1/f in cognition and in neurological disease (e.g. epilepsy) and psychiatry and E:I imbalances in disease; interested in physiological basis of LFP and skepticism of signal origins
YesNoCurrent a postdoc in epilepsy. Also has access to various animal ephys datasets.
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Danish Mahmood
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Joao Paulo Viegas AmaroGMT+0 (Lisbon,Portugal)joao-amaro@edu.ulisboa.ptEEG, computational neuroscience, MOBI, clinical Neurophysiology, fMRIAvailable EEG datasets recorded on different settings. I am also available to help in any other way necessary.YesNoHoping to start my PhD soon
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Georgia Alexandrou GMT+0 (UK)georgia.alexandrou@stir.ac.ukEEG, mobile EEG for PhD but havent performed EEG studies in 3 yearsNot sure but happy to be involved in any way that I canYesNo
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Anirudh George GMT+5:30anirudhgeorge@gmail.comClinical Neuropsychology, Beginner in EEG data processing using MNE & EEGlab
cleaning/ pre-processing of data, literature reviews, drafting manuscripts, etc. Would data collected in naturalistic settings (i.e. outside sheilded rooms) be useful? Or from patients with moderate to severe brain injury?
YesNoWorking with low-cost EEG devices in naturalistic settings
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Gian Marco DumaGMT+1(Italy)gmduma90@gmail.com
EEG, Clinical Neurophysiology, Brain dynamics, Functional Connectivity and oscillatory activity. Expert user of EEGLAB, Brainstorm, The Virtual Brain, Freesurfer, MrTrix
Clinical Neurophysiology, Psychophysiology and cognitive neuroscience in neurologic disordersYesYesAvailable data to be shared of 256 patients with epilepsy (EEG resting state, 20 minutes (10 open and 10 closed eyes). Available data in genetic condition (Angelman and Dup15q)
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Swantje Hansen
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Joao Castelhano
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Priyam Kar
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Mohamed H ZakyGMT +2mohamed.zaky@nzbri.orgEEG sensor-level and source-level analysis, BCINoNoI work in the cognitive neuroscience field
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Antonios Dougalis
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Veeky Baths
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Giovanni Pellegrino
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Sankalp Sharma GMT+5:30Sankalp777sharma@gmail.comCognitive Neuroscience YesYes
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Kris BaetensGMT +1kris.baetens@vub.beBiological psychologyE/I balance validation in large psychiatric sample clinical RS data + task related dataYesYes
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Lukas ValenzuelaGMT -3lukasfvalenzuela@gmail.com
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Griselda Cortes BarreraGMT +1gcortes@tese.edu.mxArtificial intelligence, Data Science, BCI, RoboticsPipeline EEG for neuro Control Robotics prototipoYes
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Marjan ZamaniGMT+3:30 (Iran)ma.zamani.20@gmail.comEEG, ERP, signal processing,DI/ML, brain connectivity,Graph Theory(intermediate experience)Wavelet analogy (1/f power–frequency), Skepticism (tentative hypothesis, unpublished observations),Investigating power–frequency trade-off
Yes, depending on required time and my current knowledge/ability.
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Douglas Angus
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Laura Perez MayoGTM -5lperezmayo@gmail.comCognitive Neuroscience Available EEG dataset, EEG data processing, ERP analysis.YesNo
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Sani SaminuGMT + 1saminu.s@unilorin.edu.ngBiomedical signal processing, Artificial intelligence, Medical Imaging, Biosensor developmentApplying mathematical transformation and machine/deep learning techniques, writing, analysisYesNo
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Manal Lamouine
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Lizbeth Martinez
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Athena SteinGMT-5athena_stein@med.unc.edunon invasive brain stimulation, psychiatry, traumatic brain injury, brain connectivity 1/f as a biomarker for excitation/inhibition balance in psychiatry Working on novel brain stimulation waveforms based on the aperiodic slope
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Sarvenaz ChangiziGMT+1 (Spain)sarvenaz.changizi@gmail.com sarvenaz.changizi@uv.es
EEG, ERP, Behavioural methods, Cognitive Neuropsychology, Clinical Psychology, Cognitive functions, Aging, Language and Comprehension
EEG/ERP analysis, Co-author, and any other parts that I can be involved, based on my background, knowledge and abilities :)
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Eric RawlsGMT-5erawls89@gmail.com; rawlse@uncw.educomputational neuroscience, neuronal modeling, signal processing, eeg, health informatics, machine learningcoauthor, analysis expert (NeuroFreq developer), q&a, grant proposals, development of teaching materialsno but my students may besure why nothttps://pmc.ncbi.nlm.nih.gov/articles/PMC12134716/
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Sara Assecondi
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Kaitlyn CampbellGMT-5 (Philadelphia)kaitlyncampbell@temple.edu; kaitlyn_campbell@baylor.eduEEG, ERP, signal processing, temperament, motor development, attention1/f development, Other factors impacting 1/f development, happy to process data, write, help organize, etc.YesMaybe
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Yogesh PaulGMT +1yogeshpaul@ymail.comSignal processing, machine learning, peripheral electrical stimulation, non-invasie brain stimulationdata analysis, writing nonoworking on novel Neuromodulation methods
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David Evans Jenson
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Karun Thanjavur
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Евгений МашеровGMT+3dsp-book@narod.rumathematical modelling, statistics, signal processingnono
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Wang Guangjun
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Austyn Tempesta
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Jan Kremláček
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Karina Maciejewska
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Fernando Ferreira SantosGMTfrsantos@fpce.up.ptCognitive and Affective Neuroscience, EEG, ERP, Signal ProcessingIssues of reproducibilityNoNo
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Daniele Marinazzo
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Aaron GibbingsGMT-5 (Toronto)agibbing@uwo.caEEG, signal processing, time/frequency, Behavioural & Cognitive NeuroscienceYesNo
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Theodora ArampatzesGMT +2 (Athens)info@athensneurotraining.comqEEG, Brain Mapping, ERP & SCP
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Giorgio LeodoriGMT+1giorgio.leodori@uniroma1.itEEG, EMG, Brain stimulation, Motor control, Movement disorders, MS1/f in aging and patients with different neurological conditions (available EEG and TMS-EEG datasets)YesYes
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Laura DipietroGMT-5 (Boston)lauradp@mit.eduEEG, signal processing, neurological disorders, brain stimulation, AI/MLpossible
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Sara Palermo
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Amani AlrikabiGMT +1 (Italy)amaniabdulameernaser.al-rikabi@umimore.itBiomedical Engineering, ECG, Signal processing, Statistical analysis, Stress assessment
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Josué Rico-PicóGMT-5 (New York)jr4545@tc.columbia.eduEarly developmental cognitive neuroscience and EEG + poverty/environment1/f development, SES impacts on 1/f development Yes - Depends on time though possible Current Postdoct at Columbia Working on the NEED Lab - Experience in 1/f from infancy to middle childhood
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Jose Luis
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David LoughreyGMTdavid.loughrey@dcu.ieCognitive neuroscience, EEG, sensory lossSignal processing, AI/ML, WritingYesnot sure
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Carlos Mugruza VassalloGMT-5carlos.mugruza@gmail.comComputational and cognitive neuroscience1/f in aging and data rank in ICA is important for achieving reliable multimodal data integration, for example EEG + fMRI
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Daniele LozziGMT+1daniele.lozzi@univaq.itBCI
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Francesca PesciarelliGMT +1francesca.pesciarelli@unimore.itCognitive neuroscience
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Fabiano Baroni
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Yalda Shahriari Ya.sh.h85@gmail.comSignal processing, machine learning, BCI
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TAO RanGMT +8rantao@polyu.edu.hkneurolinguistics1/f in language-related processingnonot sure
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Amin HekmatmaneshGNT +2 (Finland)amin.hm2002@gmail.comBiosignal processing, ML, feature extraction, BCI and health monitoringcoauthor, computational models, AI/ML, Deep modelsYes, Depends on required timeYes,Depends on required time
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Ernesto PeredaGMTeperdepa@ull.edu.esEEG, funcional connectivity methods, ML, MEG
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Anastasios GiannopoulosGMT+2 (Greece)angianno_8@hotmail.comEEG, ERP, AI/ML, Graph TheorySignal processing, AI/ML, Writingnonot sure
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Jordi Solé-CasalsGMT+1jordi.sole@uvic.cat; js998@cam.ac.ukSignal processing, machine learning, BCISignal processing, AI/ML, WritingYes, but depending on required time
not sure, againg it will depend on the available time
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Jazmin M. MorroneGMT (London)j.morrone@imperial.ac.ukNeuroimaging, Neuromodulation, EEG, Acoustics, Signal Processing, BCIMultimodal neurophysiological imaging and modulation for translational applications.TBCTBC
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Edward ModestinoGMT-5 (Boston, MA)edward.modestino@gmail.comNeuroimaging, psychophysiology, signal processing, cognitive neurosciencecoauthor, writing, potential signal processingYes, Depends on required timenot sure
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Tanmoy SilGMT+1 (Germany)tanmoy_sil@hotmail.comEEG, LFP, signal processing, machine learning, deep learningsignal processing, ml/dl, writingYes
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Zhibin ZhouGMT-8 (California)zbzhou@health.ucdavis.eduAnesthesia, Cognitive Neuroscience, ML, EEGProposal, hypothesis, writing, singal processing, AI/MLYesYes
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Raymond HoGMT-5 (Toronto)rho@optimicro.comSignal processing, machine learning, software engineeringsignal processing, AI/ML, research, software development
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Stephan LehmlerGMT+2Lehmler@gmx.deBCI, Motion Control, Stochastic Modeling, Machine Learning1/f as general characteristic of stochastic dynamical systems vs generation by biological mechanisms. ; 1/f in motion controlYesPossible
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Maxine HeGMT-6 (Chicago)maoyuan2@illinois.edumachine learning, signal processing, EEG, functional connectivityYes, Depends on required timeYes, Depends on required time
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Xiubin ZhuGMT+8(BeiJing)xbzhu@mail.xidian.edu.cnMachine Learning, Data Analysis, Artificial Intelligence, Deep LearningMachine learning-based Signal processing
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Anjel CaparGMT+1anjel@zedat.fu-berlin.decognitive neuroscience