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Slawomir J. Nasuto
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2020 – today
- 2022
- [c30]Johanna Krueger, Richard Krauth, Christoph Reichert
, Serafeim Perdikis, Susanne Vogt, Tessa Huchtemann, Stefan Dürschmid, Almut Sickert, Juliane Lamprecht, Almir Huremovic, Michael Görtler, Slawomir J. Nasuto, Robert T. Knight, Hermann Hinrichs, Hans-Jochen Heinze, Sabine Lindquist, Michael Sailer, José del R. Millán
Functional electrical stimulation driven by a brain-computer interface in acute and subacute stroke patients impacts beta power and long-range temporal correlation. COMPENG 2022: 1-5 - 2021
- [c29]Anne-Marie Greenaway
Is home-based webcam eye-tracking with older adults living with and without Alzheimer's disease feasible? ASSETS 2021: 74:1-74:3 - [c28]Paula G. Rodrigues, Carlos Alberto Stefano Filho, André K. Takahata, Ricardo Suyama, Romis Attux, Gabriela Castellano
Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs? COMPLEX NETWORKS 2021: 688-699 - 2020
- [j27]Ian Daly
Personalised, Multi-Modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing. IEEE Trans. Affect. Comput. 11(1): 111-124 (2020)
2010 – 2019
- 2019
- [c27]Deppo S. Juneja, Slawomir Nasuto, Evangelos Delivopoulos:
Deriving Functional Astrocytes from Mouse Embryonic Stem Cells with a Fast and Efficient Protocol. EMBC 2019: 2994-2996 - 2018
- [j26]Catherine M. Sweeney-Reed
Empirical Mode Decomposition and its Extensions Applied to EEG Analysis: A Review. Adv. Data Sci. Adapt. Anal. 10(2): 1840001:1-1840001:34 (2018) - [j25]Dawid Laszuk
KurSL: Model of Anharmonic Coupled Oscillations Based on Kuramoto Coupling and Sturm-Liouville Problem. Adv. Data Sci. Adapt. Anal. 10(2): 1840002:1-1840002:23 (2018) - [j24]Nitin Williams, Ian Daly, Slawomir J. Nasuto:
Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data. Frontiers Comput. Neurosci. 12: 76 (2018) - 2017
- [j23]Duncan Williams
Affective Calibration of Musical Feature Sets in an Emotionally Intelligent Music Composition System. ACM Trans. Appl. Percept. 14(3): 17:1-17:13 (2017) - [c26]Ian Daly, Aileen Ho, Julien Marcon, Faustina Hwang, Duncan Williams, Alexis Kirke, Eduardo R. Miranda, Slawomir Nasuto:
Affective brain Computer Music Interfacing: a Case Study of Use by an Individualwith Huntington's disease. GBCIC 2017 - [c25]Victoria Wumi Oguntosin, Slawomir J. Nasuto, Yoshikatsu Hayashi
Embedded Fuzzy Logic Controller for Positive and Negative Pressure Control in Pneumatic Soft Robots. UKSim 2017: 63-68 - 2016
- [j22]Dawid Laszuk, José O. Cadenas
On the Phase Coupling of Two Components Mixing in Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. 8(1): 1650004:1-1650004:11 (2016) - [j21]Slawomir J. Nasuto
Anticipation: Beyond synthetic biology and cognitive robotics. Biosyst. 148: 22-31 (2016) - [c24]Maitreyee Wairagkar
Movement intention based Brain Computer Interface for Virtual Reality and Soft Robotics rehabilitation using novel autocorrelation analysis of EEG. BioRob 2016: 685 - [c23]Ioannis Dimitrios Zoulias
Milliseconds Matter: Temporal Order of Visuo-tactile Stimulation Affects the Ownership of a Virtual Hand. EuroHaptics (2) 2016: 479-489 - [c22]Henry Eberle
Anticipating Synchronisation for Robot Control. Living Machines 2016: 424-428 - [p3]Slawomir J. Nasuto
Synapses in Digital Medium: Computational Investigations of Neural Basis of Anticipation. Anticipation Across Disciplines 2016: 187-201 - [p2]Yoshikatsu Hayashi, Jamie Blake, Slawomir J. Nasuto
Anticipatory Engineering: Anticipation in Sensory-Motor Systems of Human. Anticipation Across Disciplines 2016: 275-282 - 2015
- [j20]Duncan Williams
Investigating Perceived Emotional Correlates of Rhythmic Density in Algorithmic Music Composition. ACM Trans. Appl. Percept. 12(3): 8:1-8:21 (2015) - [c21]Ian Daly
Identifying music-induced emotions from EEG for use in brain-computer music interfacing. ACII 2015: 923-929 - [c20]Maitreyee Wairagkar
Movement Intention Detection from Autocorrelation of EEG for BCI. BIH 2015: 212-221 - [c19]Dawid Laszuk, Oswaldo Cadenas, Slawomir J. Nasuto
Objective Empirical Mode Decomposition metric. TSP 2015: 504-507 - [c18]Victoria Wumi Oguntosin, Slawomir Jaroslaw Nasuto
A Compact Low-Cost Electronic Hardware Design for Actuating Soft Robots. UKSim 2015: 242-247 - 2014
- [c17]Ian Daly
Changes in music tempo entrain movement related brain activity. EMBC 2014: 4595-4598 - [c16]Duncan Williams, Alexis Kirke, Eduardo R. Miranda, Ian Daly, Etienne B. Roesch, James Weaver, Slawomir J. Nasuto:
Evaluation Perceptual Separation in an Pilot System for Affective Composition. ICMC 2014 - 2013
- [j19]Etienne B. Roesch
Foundations of enactive cognitive science. Adapt. Behav. 21(3): 139-141 (2013) - [j18]Ian Daly
Testing for significance of phase synchronisation dynamics in the EEG. J. Comput. Neurosci. 34(3): 411-432 (2013) - [c15]Yoshikatsu Hayashi, Matthew C. Spencer, Slawomir J. Nasuto
A study of anticipatory non-autonomous systems. iCAST/UMEDIA 2013: 316-318 - [c14]J. Mark Bishop, Slawomir J. Nasuto, T. Tanay, Etienne B. Roesch, Matthew C. Spencer:
HeX and the Single Anthill: Playing Games with Aunt Hillary. PT-AI 2013: 369-390 - 2012
- [j17]Darren R. Myatt, Tye Hadlington, Giorgio A. Ascoli, Slawomir J. Nasuto
Neuromantic - from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology. Frontiers Neuroinformatics 6: 4 (2012) - [j16]Julia H. Downes, Mark W. Hammond, Dimitris Xydas, Matthew C. Spencer, Victor M. Becerra
Emergence of a Small-World Functional Network in Cultured Neurons. PLoS Comput. Biol. 8(5) (2012) - [j15]Ian Daly
Brain computer interface control via functional connectivity dynamics. Pattern Recognit. 45(6): 2123-2136 (2012) - [j14]Matthew C. Spencer, Julia H. Downes, Dimitris Xydas, Mark W. Hammond, Victor M. Becerra
Multiscale Evolving Complex Network Model of Functional Connectivity in Neuronal Cultures. IEEE Trans. Biomed. Eng. 59(1): 30-34 (2012) - [c13]Alexis Kirke
Learning to Make Feelings: Expressive Performance as a Part of a Machine Learning Tool for Sound-Based Emotion Control. CMMR 2012: 490-499 - 2011
- [j13]Nitin Williams, Slawomir J. Nasuto
Evaluation of Empirical Mode Decomposition for Event-Related Potential Analysis. EURASIP J. Adv. Signal Process. 2011 (2011) - [j12]Matthew C. Spencer, Julia H. Downes, Dimitris Xydas, Mark W. Hammond, Victor M. Becerra, Benjamin J. Whalley, Kevin Warwick, Slawomir J. Nasuto:
Spatio-temporal dependencies in functional connectivity in rodent cortical cultures. Paladyn J. Behav. Robotics 2(3): 156-163 (2011) - [c12]Eduardo R. Miranda, Slawomir J. Nasuto, Anna R. Troisi, Julia H. Downes, Antonino Chiaramonte, Matthew C. Spencer, Mark W. Hammond, Dimitris Xydas, Benjamin J. Whalley, Victor M. Becerra, Kevin Warwick:
A musical instrument using in vitro neural networks. ICMC 2011 - [c11]John Mark Bishop, Slawomir J. Nasuto, Bob Coecke:
'Quantum Linguistics' and Searle's Chinese Room Argument. PT-AI 2011: 17-28 - [c10]Slawomir J. Nasuto, John Mark Bishop:
Of (Zombie) Mice and Animats. PT-AI 2011: 85-106
2000 – 2009
- 2009
- [j11]Slawomir J. Nasuto
Communicating neurons: A connectionist spiking neuron implementation of stochastic diffusion search. Neurocomputing 72(4-6): 704-712 (2009) - [c9]Kevin Warwick
Experiments with an In-Vitro Robot Brain. Instinctive Computing Workshop 2009: 1-15 - 2008
- [j10]Adriano O. Andrade
The application of the Hilbert spectrum to the analysis of electromyographic signals. Inf. Sci. 178(9): 2176-2193 (2008) - [c8]Dimitris Xydas, Daniel J. Norcott, Kevin Warwick
Architecture for Neuronal Cell Control of a Mobile Robot. EUROS 2008: 23-31 - 2007
- [j9]Catherine M. Sweeney-Reed
A novel approach to the detection of synchronisation in EEG based on empirical mode decomposition. J. Comput. Neurosci. 23(1): 79-111 (2007) - [j8]Adriano O. Andrade
Extraction of motor unit action potentials from electromyographic signals through generative topographic mapping. J. Frankl. Inst. 344(3-4): 154-179 (2007) - [j7]Dario Izzo
Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories. J. Glob. Optim. 38(2): 283-296 (2007) - [j6]Nicoletta Nicolaou
Automatic Artefact Removal from Event-related Potentials via Clustering. J. VLSI Signal Process. 48(1-2): 173-183 (2007) - [c7]Victor M. Becerra
Search space pruning and global optimization of multiple gravity assist trajectories with deep space manoeuvres. IEEE Congress on Evolutionary Computation 2007: 957-964 - [p1]Slawomir J. Nasuto
Stabilizing Swarm Intelligence Search via Positive Feedback Resource Allocation. NICSO 2007: 115-123 - 2006
- [j5]Adriano O. Andrade
EMG signal filtering based on Empirical Mode Decomposition. Biomed. Signal Process. Control. 1(1): 44-55 (2006) - [j4]Eduardo Rocon de Lima
Empirical mode decomposition: a novel technique for the study of tremor time series. Medical Biol. Eng. Comput. 44(7): 569-582 (2006) - [c6]Eduardo Rocon
Application of EMD as a novel technique for the study of tremor time series. EMBC (Supplement) 2006: 6533-6536 - 2005
- [j3]Victor M. Becerra
An efficient parameterization of dynamic neural networks for nonlinear system identification. IEEE Trans. Neural Networks 16(4): 983-988 (2005) - 2002
- [c5]Darren R. Myatt, Philip H. S. Torr, Slawomir J. Nasuto, J. Mark Bishop, R. Craddock:
NAPSAC: High Noise, High Dimensional Robust Estimation - it's in the Bag. BMVC 2002: 1-10 - [c4]Kris De Meyer, J. Mark Bishop, Slawomir J. Nasuto:
Small-World Effects in Lattice Stochastic Diffusion Search. ICANN 2002: 147-152 - [c3]J. Mark Bishop, Slawomir J. Nasuto, Kris De Meyer:
Dynamic Knowledge Representation in Connectionist Systems. ICANN 2002: 308-313 - [i1]Slawomir J. Nasuto, J. Mark Bishop:
Steady State Resource Allocation Analysis of the Stochastic Diffusion Search. CoRR cs.AI/0202007 (2002) - 2001
- [j2]Slawomir J. Nasuto
Relation between neuronal morphology and electrophysiology in the Kainate lesion model of Alzheimer's Disease. Neurocomputing 38-40: 1477-1487 (2001)
1990 – 1999
- 1999
- [j1]Slawomir J. Nasuto, J. Mark Bishop:
Convergence Analysis of Stochastic Diffusion Search. Parallel Algorithms Appl. 14(2): 89-107 (1999) - 1998
- [c2]Stanislao Lauria, Richard J. Mitchell, Slawomir J. Nasuto:
Weightless Neural Networks for Pattern Recognition: A Comparison of Different Methods for Processing "Grey-level data". NC 1998: 67-71 - [c1]Slawomir J. Nasuto, J. Mark Bishop, Stanislao Lauria:
Time Complexity Analysis of the Stochastic Diffusion Search. NC 1998: 260-266
Coauthor Index
aka: John Mark Bishop
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