2022
2022
2022
2022
Miranda, E. R., Martin-Guerrero, J. D., Venkatesh, S., Hernani-Morales, C., Lamata, L. and Solano, E. (2022). Quantum Brain Networks: A Perspective. Electronics. 11(10), 1528.
DOI: http://doi.org/10.3390/electronics11101528
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2022
2022
Miranda, E. R., Venkatesh, S., Martin-Guerrero, J. D., Hernani-Morales, C., Lamata, L. and Solano, E. (2022). An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats. International Journal of Unconventional Computing. 17(3), 159.
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2021
Miranda, E.R., Venkatesh, S., Hernani-Morales, C., Lamata, L., Martín-Guerrero, J.D., and Solano, E. (2021). “Quantum Brain Networks: a Perspective”.
Pre-print: http://arxiv.org/abs/2106.12295
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2021
2021
2021
2020
Borges, C. and Vélez, G. (2020). “Transeuntis Mundi: An Installation about Migration and Human Legacy”. Frameless: Vol. 2: Iss.1, Article 13.
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2020
Horrell, R. (2020). “An Interactive Compositional Tool using the Electroencephalogram”, International Journal of Music Science, Technology and Art (IJMSTA), 2(2):22-26.
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2020
2020
2020
Miranda, E. R. (2020). “The Arrival of Quantum Computer Music”. Medium, May 13th. (Online article. Not peer-reviewed).
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2020
2020
Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, S. J. (2020). “Neural and physiological data from participants listening to affective music”, Nature-Scientific Data 7(177).
DOI: http://doi.org/10.1038/s41597-020-0507-6
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2020
2019
2019
Kirke, A. (2019). “Applying quantum hardware to nonscientific problems: Grover’s algorithm and rule-based algorithmic music composition”, International Journal of Unconventional Computing, 14(3–4), 349–374.
2019
2019
Braund, E., Venkatesh, S. and Miranda, E. (2019). “PhyBox: A Programmable Interface for Physarum Polycephalum-based Memristors”, International Journal of Unconventional Computing 14(3-4):217-233
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2019
Daly, I., Williams, D., Hwang, F., Kirke, A., Miranda, E. R. and Nasuto (2019). “Electroencephalography reflects the activity of sub-cortical brain regions during approach-withdrawal behaviour while listening to music”, Nature – Scientific Reports.
DOI: http://doi.org/10.1038/s41598-019-45105-2
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2019
2019
Miranda, E. R., Antoine, A., Celerier, J-M. and Desainte-Catherine, M. (2019). “i-Berlioz: Towards Interactive Computer-Aided Orchestration with Temporal Control”, International Journal of Music Science, Technology and Art 1(1):15-23.
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2018
Kirke, A. (2018). “Experiencing Quantum Through Music”, ITNOW, 60(2), 54-55.
2018
Kirke, A. (2018) “When the soundtrack is the game: From Audio-Games to Gaming the Music”. In D Williams and N. Lee (Eds.), Emotion in Videogame Soundtracking. Springer, pp. 65-83.
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2018
Kirke, A., Williams, D., Miranda, E. R., Bluglass, A., Whyte, C., Pruthi, R. and Eccleston, A. (2018). “Unconsciously interactive Films in a cinema environment – a demonstrative case study”
DOI: http://doi.org/10.1080/14626268.2017.1407344
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2018
Daly, I., Williams, D., Malik, A., Weaver, J., Kirke, A., Hwang, F., Miranda, E. R. and Nasuto, S. J. (2018). “Personalised, Multi-modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing”, IEEE Transactions on Affective Computing.
DOI: http://dx.doi.org/10.1109/TAFFC.2018.2801811
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2018
Mcloughlin, M., Lamoni, L., Garland, E., Ingram, S., Kirke, A., Rendell, L and Miranda, E. R. (2018). “Using agent-based models to understand the role of individuals in the song evolution of humpback whales (Megaptera novaeangliae)”, Music & Science, 1(1):1-17.
DOI: http://doi.org/10.1177/2059204318757021
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2018
2018
Daly, I., Williams, D., Malik, A., Weaver, J., Kirke, A., Hwang, F., Miranda, E. R. and Nasuto, S. J. (2018). “Personalised, Multi-modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing”, IEEE Transactions on Affective Computing.
DOI: http://dx.doi.org/10.1109/TAFFC.2018.2801811
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2018
Miranda, E. R., Braund, E. and Venkatesh, S. (2018). “Composing with Biomemristors: Is Biocomputing the New Technology of Computer Music?”, Computer Music Journal 42(3):28-46. DOI: https://doi.org/10.1162/comj_a_00469 [ PEARL ]
2017
2017
Williams, D., Kirke, A., Miranda, E., Daly, I., Hwang, F., Weaver, J., Nasuto, S., 2017. Affective Calibration of Musical Feature Sets in an Emotionally Intelligent Music Composition System. ACM Transactions on Applied Perception 14:3, May 2017.
DOI: http://dx.doi.org/10.1145/3059005
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2017
Nicolaou,N., Malik, A., Daly, I., Weaver, J., Hwang, F., Kirke, A., Roesch, E. B., Williams, D., Miranda, E. R., and Nasuto, S. J. (2017). “Directed Motor-Auditory EEG Connectivity Is Modulated by Music Tempo”, Frontiers of Human Neuroscience, 11(Article 12).
DOI: http://dx.doi.org/10.3389/fnhum.2017.00502
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2017
2017
2017
Bonet, N. (2017). The Development of the Tenora. Galpin Society Journal, 70, pp. 169-178.
2017
Miranda, E. R. and Braund, E. (2017). “Interactive Musical Biocomputer: An unconventional approach to research in unconventional computing”, Symmetry: Culture and Science 28(1):7-20.
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2017
2016
Visi, F., Coorevits, E., Schramm, R., and Miranda, E. R. (2016). “Analysis of Mimed Violin Performance Movements of Neophytes”. In R. Kronland-Martinet, M. Aramaki, and S. Ystad (Eds.), Music, Mind, and Embodiment: 11th International Symposium on Computer Music Multidisciplinary Research, CMMR 2015, Plymouth, UK, June 16-19, 2015, Revised Selected Papers (Vol. 9617 LNCS, pp. 88–108). Cham, Switzerland: Springer.
2016
Schramm, R., Nunes, H. S., Nunes. L. A., Visi, F. and Miranda, E. R. (2016). “3CMS: An Interactive Decision System for Live Performance”. In R. Kronland-Martinet et al. (Eds.) Music, Mind, and Embodiment. Lecture Notes in Computer Science 9617. Springer.
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2016
Williams, D., Kirke, A., Miranda, E. R., Daly, I., Hallowell, J., Hwang, F., Malik, A., Roesch, E., Weaver, J. and Nasuto, S. J., (2016). “A perceptual and affective evaluation of an affectively-driven engine for video game soundtracking” Computers in Entertainment – Special issue on digital creativity, ACM (forthcoming)
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2016
Daly, I., Williams, D., Hwang, F., Kirke, A., Malik, A., Weaver, J., Miranda, E. R., Nasuto, S. J., (2016) “Affective Brain-Computer Music Interfacing.” Journal of Neural Engineering, 13:4, July 2016.
DOI: http://dx.doi.org/10.1088/1741-2560/13/4/046022
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2016
Daly, I., Williams, D., Hallowell, J., Hwang, F., Kirke, A., Malik, A., Weaver, J., Miranda, E., Nasuto, S. (2016). “Music-induced emotions can be predicted from a combination of brain activity and acoustic features” Brain and Cognition, Elsevier, Volume 101. pp.1-11
DOI: http://dx.doi.org/10.1016/j.bandc.2015.08.003
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2016
Williams, D. (2016). “Breve Analisis Comparativo De La Capoeira Brasilera Y La Musica Samara Talandesa Y Las Practicas Ritualas Compartidas.” Revista Asia América Latina. Vol 1:1, June 2016, pp.67-84. Grupo de Estudios de Asia y América Latina, Universidad de Buenos Aires, Argentina. ISSN 2524-9347.
2016
2016
Williams, D. (2016). “Utility versus creativity in biomedical musification.” Journal of Creative Music Systems, 1:1, September 2016, Huddersfield University, UK.
2016
Bonet, N. (2016). The Metal Tenora. Newsletter of the American Musical Instrument Society, 45/2, pp. 13-17.
2016
2015
2015
Williams, D., Kirke, A., Miranda, E. R., Daly, I., Hallowell, J., Hwang, F., Malik, A., Roesch, E., Weaver, J. and Nasuto, S. J., (2015). “Investigating Perceived Emotional Correlates of Rhythmic Density in Algorithmic Music Composition”, ACM Transactions on Applied Perception, t.b.a. (In Print)
DOI: http://doi.org/10.1145/2749466
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2015
Daly, I., Hwang, F., Kirke, A., Malik, A., Weaver, J., Williams, D., Miranda, E. R. and Nasuto, S. J., (2015). “Automated identification of neural correlates of continuous variables”, Journal of Neuroscience Methods, 242(2015):65-71.
DOI: http://dx.doi.org/10.1016/j.jneumeth.2014.12.012
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2015
Miranda, E. R. (2015). “Music Neurotechnology: From Music of the Spheres to Music of the Hemispheres”, Symmetry: Culture and Science. (Submitted)
2015
2015
2015
Kirke, A., Davies, G., Talevi, A., Eaton, J. and Miranda, E. (2015)”A Case Study in “Reality Opera” – Optimization and Simulation to Create Human Musical Drama that Emerges Dynamically during Performance”, Digital Creativity (Submitted).
2015
Williams, D. (2015). “Cross-Analysis of Brazilian Capoeira and Thai Sarama Field Recordings and Shared Ritual Practices”, Analytical Approaches to World Music Journal ISSN 2158-5296, Volume 4, No.1
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2015
2015
Kirke, A., Shadbolt, P., Neville, A., & Miranda, E. R. (2015). A Hybrid Computer Case Study for Unconventional Virtual Computing. International Journal of Unconventional Computing, 11(3-4), 205-226.
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2014
2014
Daly, I., Malik, A., Hwang, F., Roesch, E., Weaver, J., Kirke, A., Williams, D., Miranda, E. R., Nasuto, S. J. (2014). “Neural Correlates of Emotional Responses to Music; An EEG Study.” Neuroscience Letters, vol 573 pp52-57.
DOI: http://doi.org/10.1016/j.neulet.2014.05.003
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2014
Daly, I., Williams, D., Hwang, F., Kirke, A., Malik, A., Roesch, E., Weaver, J., Miranda and E. R., Nasuto, S. J., (2014). “Investigating music tempo as a feedback mechanism for closed-loop BCI control”, Brain-Computer Interfaces, 1(3-4).
DOI: http://doi.org/10.1080/2326263X.2014.979728
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2014
Kirke, A., Miranda, E.R. (2014) “Unconventional Computation and Teaching: Proposal for MUSIC, a Tone-Based Scripting Language for Accessibility, Computation and Education.” International Journal of Unconventional Computation, 10(3): 237-249.
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2014
Williams, D., Kirke, A., Miranda, E. R., Roesch, E., Daly, I., and Nasuto, S. (2014). “Investigating affect in algorithmic composition systems.” Psychology of Music (Published online before print August 15, 2014, doi: 10.1177/0305735614543282)
DOI: http://doi.org/10.1177/0305735614543282
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2014
Kirke, A., Miranda, E.R. (2014) “Towards Harmonic Extensions of Pulsed Melodic Affective Processing – Further Musical Structures for Increasing Transparency in Emotional Computation.” International Journal of Unconventional Computation, 10(3): 199-217.
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2014
2013
2013
Kirke, A., Miranda, E., Chiaramonte, A., Troisi, A.R., Matthias, J., Fry, N., McCabe, C., Radtke, J. and Bull, M. (2013). “Cloud Chamber: A Performance with Real Time Two-Way Interaction Between Subatomic Particles and Violinist”, Leonardo, Vol. 46, No.1, MIT Press, USA.
DOI: http://doi.org/10.1162/LEON_a_00493
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2013
2013
2013
Williams, K. (2013). “Global Perspectives on the Practice and Pedagogy of Jazz History in the Twenty-first Century”, Journal of Music History Pedagogy, 3(2): 173-174.
2012
Kirke, A., Miranda, E. (2012). “Pulsed Melodic Processing – the Use of Melodies in Affective Computations for Increased Processing Transparency”. In Music and Human-Computer Interaction, S. Holland, K. Wilkie, P. Mulholland and A. Seago (Eds.), London: Springer.
2011
Miranda, E. R., Magee, W., Wilson, J. J., Eaton, J., and Palaniappan, R. (2011). “Brain-Computer Music Interfacing (BCMI): From Basic Research to the Real World of Special Needs. Music and Medicine
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2011
Anders, T. and Miranda, E. R. (2011). “A Computational Model for Rule-Based Microtonal Music Theories and Composition”, Perspectives of New Music, Vol. 48, No. 2, pp. 47-77.
2011
2011
2010
2010
Miranda, E. R. (2010). “Plymouth brain-computer music interfacing project: from EEG audio mixers to composition informed by cognitive neuroscience”, International Journal of Arts and Technology, 3(2/3): 154-176
DOI: http://dx.doi.org/10.1504/IJART.2010.032562
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2010
2010
2010
2009
Miranda, E. R. and Matthias, J. (2009). “Music Neurotechnology for Sound Synthesis: Sound Synthesis with Spiking Neuronal Networks”, Leonardo, Vol. 42, No. 5, pp. 439-442.
2009
Durrant, S., Hardoon, D. R., Brechmann, A., Shawe-Taylor, J., Miranda, E. R., Scheich, H., (2009). “GLM and SVM analyses if neural response to tonal and atonal stimuli: new techniques and a comparison”, Connection Science, Vol. 2, No. 1, pp. 161-175.
DOI: http://doi.org/10.1080/09540090902733863
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2009
Taube, H., Cole, T., Cole, P., Eacott, J., Angliss, S., et al. (2009). “Artists’ Statements”, Contemporary Music Review, Vol. 28, No. 1, pp. 115-128.
DOI: http://doi.org/10.1080/07494460802664080
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2009
2009
Miranda, E. R., Bull, L., Gueguen, F., Uroukov, I. S. (2009). “Computer Music Meets Unconventional Computing: Towards Sound Synthesis with In Vitro Neuronal Networks”, Computer Music Journal, Vol. 33, No. 1, pp- 9-18.
DOI: http://doi.org/10.1162/comj.2009.33.1.9
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2008
2007
Miranda, E. R., and Maia Jr., A. (2007). “Spectral Fuzzy Sets and Markov Streaming for Granular Synthesis of Sound”, Symmetry: Culture and Science, 18(2-3):223-241.
2007
Matthias, J. and Ryan, N. (2007). “Cortical Songs: Musical Performance Events triggered by Artificial Spiking Neurons”, Body, Space & Technology Journal, Vol. 8. (Perspectives section).
2007
Edworthy, J and Knast, A. (2007). Commentary on David Huron’s “On the Role of Embellishment Tones in the Perceptual Segregation of Concurrent Musical Parts”. Empirical Musicological Review, 2(4):140-145.
2007
Kirke, A., Miranda, E.R. (2007). “Capturing the Aesthetic: Radial Mappings for Cellular Automata Music”. Journal of the ITC Sangeet Research Academy, Vol. 21, pp. 15-23.
2006
2005
2005
2005
2004
Miranda, E. R., Roberts, S. and Stokes, M. (2004). “On Generating EEG for Controlling Musical Systems”, Biomedizinische Technik, 49(1):75-76.
2004
Miranda, E. R. (2004). “At the Crossroads of Evolutionary Computation and Music: Self-Programming Synthesizers, Swarm Orchestras and the Origins of Melody”, Evolutionary Computation, Vol. 12, No. 2, pp. 137-158.
DOI: http://doi.org/10.1162/106365604773955120
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2003
Westerman, G. and Miranda, E. R. (2003). “Modelling the Development of Mirror Neurons for Auditory-Motor Integration”, Journal of New Music Research, Vol. 31, No. 4, pp. 367-375.
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2003
2003
Miranda, E. R., Sharman, K., Kilborn, K., Duncan, A. (2003). “On Harnessing the Electroencephalogram for the Musical Braincap”, Computer Music Journal, Vol. 27, No. 2, pp. 80-102.
DOI: http://doi.org/10.1162/014892603322022682
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2003
Miranda, E. R., Kirby, S. and Todd, P. (2003). “On Computational Models of the Evolution of Music: From the Origins of Musical Taste to the Emergence of Grammars”, Contemporary Music Review, Vol. 22, No. 3, pp. 91-111.
DOI: http://doi.org/10.1080/0749446032000150915
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2003
2003