Venkatesh, S., Moffat, D. and Miranda, E. R. (2022). “Word Embeddings for Automatic Equalization in Audio Mixing.” Journal of the Audio Engineering Society, Vol 70 no.9 pp. 753-763.

DOI: https://doi.org/10.17743/jaes.2022.0047 [ ]

Moffat, D., de Man, B.,  and Reiss, J. D. (2022). “Semantic Music Production: A Meta-study.” Journal of the Audio Engineering Society, vol. 70, no. 7/8, pp. 548-564. 

DOI: https://doi.org/10.17743/jaes.2022.0023 [ ]

Venkatesh, S., Miranda, E. R., & Braund, E. (2022). SSVEP-based Brain-computer Interface for Music using a Low-density EEG System. Assistive Technology, (just-accepted).

DOI: http://doi.org/10.1080/10400435.2022.2084182 [ ]

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 [ PDF ]

Venkatesh, S., Moffat, D. and Miranda,  E. R. (2022). “You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection.” Applied Sciences, 12, 3293

Pre-print: http://arxiv.org/abs/2109.00962 [ DOI 10.3390/app12073293 ]

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.

Publication Link [ PDF ]

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 [ ]

Venkatesh, S., Moffat, D., Miranda, E. R. (2021). “Investigating the Effects of Training Set Synthesis for Audio Segmentation of Radio Broadcast”. Electronics, 10(7), 827.

DOI: http://doi.org/10.3390/electronics10070827 [ PEARL ]

Lefford, M. N., Bromham, G., Fazekas G., and Moffat D. (2021). “Context Aware Intelligent Mixing Systems”. Journal of the Audio Engineering Society, 69(3), 128-141.

DOI: http://doi.org/10.17743/jaes.2020.0043 [ PEARL ]

Martinez Ramirez, M., Stoller, D. and Moffat, D. (2021). “A Deep Learning Approach to Intelligent Drum Mixing with the Wave-U-Net”. Journal of the Audio Engineering Society, 69(3), 142-151.

DOI: http://doi.org/10.17743/jaes.2020.0031 [ PEARL ]

Borges, C. and Vélez, G. (2020). “Transeuntis Mundi: An Installation about Migration and Human Legacy”. Frameless: Vol. 2: Iss.1, Article 13.

Publication Link [ ]

Horrell, R. (2020). “An Interactive Compositional Tool using the Electroencephalogram”, International Journal of Music Science, Technology and Art (IJMSTA), 2(2):22-26.

Publication Link [ ]

Kirke, A., Davies, G. B., and Eaton, J. (2020). “Application of Optimization and Simulation to Musical Composition that Emerges Dynamically during Ensemble Singing Performance”.

Pre-print: http://arxiv.org/abs/2006.03471v1 [ PEARL ]

Kirke, A. (2020). “Testing a hybrid hardware quantum multi-agent system architecture that utilizes the quantum speed advantage for interactive computer music”, Journal of New Music Research, 49(3), 209-230.

DOI: http://dx.doi.org/10.1080/09298215.2020.1749672 [ PEARL ]

Miranda, E. R. (2020). “The Arrival of Quantum Computer Music”. Medium, May 13th. (Online article. Not peer-reviewed).

Publication Link [ ]

Miranda, E. R. (2020). “Genetic Music System with Synthetic Biology”, Artificial Life 26(3):366-390.

DOI: http://doi.org/10.1162/artl_a_00325 [ ]

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 [ PEARL ]

Wilmering, T., Moffat, D., Milo, A. and Sandler M. (2020). “A History of Audio Effects”. Applied Science 10 (187).

DOI: http://doi.org/10.3390/app10030791 [ PEARL ]

Bonet, N. (2019). “Musical Borrowing in Sonification”, Organised Sound 24(2): 184-194

DOI: http://doi.org/10.1017/S1355771819000220 [ PEARL ]

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.

Publication Link [ http://pearl.plymouth.ac.uk/handle/10026.1/13560 ]

Kirke, A. (2019). “Application of Musical Computing to Creating a Dynamic Reconfigurable Multilayered Chamber Orchestra Composition”, Leonardo Music Journal, 29, 55-61.

DOI: http://dx.doi.org/10.1162/LMJ_a_01064 [ PEARL ]

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

Publication link [ PEARL ]

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 [ PEARL ]

Costalonga, L., Pimenta, M. S. and Miranda, E. R. (2019). “Understanding Biomechanical Constraints for Modelling Expressive Performance: A Guitar case study”, Journal of New Music Research.

DOI: http://doi.org/10.1080/09298215.2019.1643892 [ PEARL ]

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.

Publication Link [ PEARL ]

Kirke, A. (2018). “Experiencing Quantum Through Music”, ITNOW, 60(2), 54-55.

DOI: http://dx.doi.org/10.1093/itnow/bwy055 [ http://pearl.plymouth.ac.uk/handle/10026.1/12446 ]

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.

Publication Link [ PDF ]

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 [ PEARL ]

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 [ PEARL ]

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 [ PEARL ]

Kirke, A. (2018). “Programming gate-based hardware quantum computers for music”, Музикологија/Musicology, (24), 21-37.

DOI: http://doi.org/10.2298/MUZ1824021K [ ]

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 [ PEARL ]

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 ]

Norowi, N. M., Miranda, E. R. and Hussin, M. (2017). “Parametric Factors Affecting Concatenative Sound Synthesis”, Advanced Science Letters, 23(6):5496-5500. DOI:

DOI: http://dx.doi.org/10.1166/asl.2017.7407 [ PEARL ]

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 [ PEARL ]

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 [ PEARL ]

Kirke, A. and Miranda, E., (2017). “Aiding Soundtrack Composer Creativity through Automated Film Script-profiled Algorithmic Composition”, Journal of Creative Music Systems, 1(2).

DOI: http://dx.doi.org/10.5920/JCMS.2017.01 [ PEARL ]

Williams, D. and Da Rocha, M. A.., (2017). Decoding cultural signifiers of Brazilian identity and the African diaspora from the music of Sepultura. Metal Music Studies, 3:1, pp.145-152(8), Intellect.

DOI: http://doi.org/10.1080/13569320310001629496 [ ]

Bonet, N. (2017). The Development of the Tenora. Galpin Society Journal, 70, pp. 169-178.

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.

[PEARL] [ ]

Braund, E. and Miranda, E. R. (2017). “On Building Practical Biocomputers for Real-World Applications: Receptacles for Culturing Slime Mould Memristors and Component Standardisation”, Journal of Bionic Engineering, 14(2017):151-162.

DOI: http://dx.doi.org/10.1016/S1672-6529(16)60386-4 [ PEARL ]

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.

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.

Publication Link [ ]

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)

Publication Link [ ]

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 [ PEARL ]

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 [ PEARL ]

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.

Williams, D. (2016). “On the affective potential of the recorded voice.” Journal of the Audio Engineering Society, 64:6, June 2016.

DOI: http://doi.org/10.17743/jaes.2016.0019 [ ]

Williams, D. (2016). “Utility versus creativity in biomedical musification.” Journal of Creative Music Systems, 1:1, September 2016, Huddersfield University, UK.

Bonet, N. (2016). The Metal Tenora. Newsletter of the American Musical Instrument Society, 45/2, pp. 13-17.

Williams, D. (2016). “Emotionally-Congruent Dynamic Soundtrack Generation.” Journal of the Audio Engineering Society, 64:9, September 2016.

DOI: http://doi.org/10.17743/jaes.2016.0038 [ ]

Kirke, A., Eaton, J. and Miranda, E. (2015). “Real-time Hallucination Sonification and Simulation through User-led Development of an iPad Augmented Reality Performance”, Leonardo, 48(3).

DOI: http://dx.doi.org/10.1162/LEON_a_00812 [ PEARL ]

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 [ PEARL ]

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 [ PEARL ]

Miranda, E. R. (2015). “Music Neurotechnology: From Music of the Spheres to Music of the Hemispheres”, Symmetry: Culture and Science. (Submitted)

Eaton, J., Williams, D., and Miranda, E. (2015). “The Space Between Us: Evaluating a multi-user brain-computer music interface”, Brain-Computer Interfaces, 2:1, 2015

DOI: http://doi.org/10.1080/2326263X.2015.1101922 [ PEARL ]

Kirke, A., Miranda, E.R. (2015) “A Multi-agent Emotional Society whose Melodies Represent its Emergent Social Hierarchy and are Generated by Agent Communications”, Journal of Artificial Societies and Social Simulation, 18(2), 16.

DOI: http://dx.doi.org/10.18564/jasss.2679 [ PEARL ]

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).

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

PEARL [ ]

Miranda, E. R. and Williams, D. (2015).”Artificial Intelligence in Organised Sound”. Organised Sound, Cambridge University Press, Volume 20, No. 2.

DOI: http://dx.doi.org/10.1017/S1355771814000454 [ PEARL ]

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.

PEARL [ ]

Serquera, J. and Miranda, E. R. (2014). “Histogram Mapping Synthesis: A Cellular Automata-Based Technique for Flexible Sound Design.” Computer Music Journal, 38(4):1-15

DOI: http://doi.org/10.1162/COMJ_a_00267 [ ]

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 [ ]

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 [ ]

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.

PEARL [ ]

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 [ ]

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.

PEARL [ ]

Kirke, A., Miranda, E.R. (2014) “Pulsed Melodic Affective Processing: Musical structures for increasing transparency in emotional computation.” Simulation, 90(5): 606-622.

DOI: http://doi.org/10.1177/0037549714531060 [ ]

Bessell, D. (2013). “Dynamic Convolution Modeling, A hybrid synthesis strategy”. Computer Music Journal, Vol. 37, No. 1, Pp. 44-51.

DOI: http://doi.org/10.1162/COMJ_a_00159 [ ]

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 [ ]

Williams, K. (2013). “Post-World War II Jazz in Britain: Venues and Values 1945–1970”, Jazz Research Journal, 7(1):113-131.

DOI: http://doi.org/10.1558/jazz.v7i1.113 [ PEARL ]

Williams, K. (2013). “Improvisation as Composition: Fixity of Form and Collaborative Composition in Duke Ellington’s Diminuendo and Crescendo in Blue”, Jazz Perspectives, 6(1-2): 223-246.

DOI: http://dx.doi.org/10.1080/17494060.2012.729712 [ PEARL ]

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.

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.

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

Publication Link [ ]

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.

Anders, T. and Miranda, E. R. (2011). “A Survey of Constraint Programming Systems for Modelling Music Theories and Composition”, ACM Computing Surveys, 43(4).

DOI: http://doi.org/10.1145/1978802.1978809 [ ]

Miranda, E. R., Adamatzky, A. and Jones, J. (2011). “Sound Synthesis with Slime Mould of Physarum Polycephalum”, Journal of Bionic Engineering 8(2011):107-113.

DOI: http://doi.org/10.1016/S1672-6529(11)60016-4 [ ]

Miranda, E. R. (2010). “Organised Sound, Mental Imageries and the Future of Music Technology: A Neuroscience Outlook”, Organised Sound, 15(1): 13-25

DOI: https://doi.org/10.1017/S1355771809990227 [ ]

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 [ ]

Miranda, E. R. (2010). “Contextualizing eighteenth century Enlightenment through the lenses of contemporary science”, Physics of Life Review, 7(2010):35-36.

DOI: http://doi.org/10.1016/j.plrev.2010.01.004 [ ]

Morgan, N., Fox, A.., Legard, P. and Robinson, M. (2010). “Music and textiles interact”. Craft Research 1:39-61.

DOI: http://doi.org/10.1386/crre.1.39_1 [ ]

Anders, T. and Miranda, E. R. (2010). “Constraint Application with Higher-Order Programming for Modeling Music Theories”, Computer Music Journal, 34(2):25-38.

DOI: http://doi.org/10.1162/comj.2010.34.2.25 [ ]

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.

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 [ ]

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 [ ]

Anders, T. and Miranda, E. R. (2009). “Interfacing Manual and Machine Composition”. Contemporary Music Review, Vol. 28, No. 2, pp. 133-147.

DOI: http://doi.org/10.1080/07494460903322422 [ ]

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 [ ]

Miranda, E. R. (2008). “Emergent Songs by Social Robots”, Journal of Experimental and Theoretical Artificial Intelligence 20(4), 319-334

DOI: http://doi.org/10.1080/09528130701664640 [ ]

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.

Matthias, J. and Ryan, N. (2007). “Cortical Songs: Musical Performance Events triggered by Artificial Spiking Neurons”, Body, Space & Technology Journal, Vol. 8. (Perspectives section).

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.

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.

Miranda, E R. (2006). “Brain-Computer music interface for composition and performance”, International Journal on Disability and Human Development, 5(2):119-125.

DOI: http://doi.org/10.1515/IJDHD.2006.5.2.119 [ ]

Valsamakis, N. and Miranda, E. R. (2005). “Iterative Sound Synthesis by means of Cross-Coupled Digital Oscillators”, Digital Creativity. 16(2):79-92.

DOI: http://doi.org/10.1080/14626260500173062 [ ]

Miranda, E. R. and Brouse, A. (2005). “Interfacing the Brain Directly with Musical Systems: On developing systems for making music with brain signals “, Leonardo, 38(4):331-336.

DOI: http://doi.org/10.1162/0024094054762133 [ ]

Miranda, E. R. (2005). “Artificial Phonology: On Synthesising Disembodied Humanoid Voice for Composing Music with Surreal Languages”, Leonardo Music Journal, Vol. 15, pp. 8-16.

DOI: http://doi.org/10.1162/lmj.2005.15.1.8 [ ]

Miranda, E. R., Roberts, S. and Stokes, M. (2004). “On Generating EEG for Controlling Musical Systems”, Biomedizinische Technik, 49(1):75-76.

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 [ ]

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.

Publication Link [ ]

Westerman, G. and Miranda, E. R. (2003). “A New Model of Sensorimotor Coupling in the Development of Speech”, Brain and Language, Vol.82, No.2, pp.393-400.

DOI: http://doi.org/10.1016/S0093-934X(03)00345-6 [ ]

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 [ ]

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 [ ]

Miranda, E. R. (2003). “On the Music of Emergent Behaviour: What can Evolutionary Computation Bring to the Musician?”, Leonardo, Vol. 36, No. 1, pp. 55-58.

DOI: http://doi.org/10.1162/002409403321152329 [ ]

Miranda, E. R. (2003). “On the evolution of music in a society of self-taught digital creatures”, Digital Creativity, Vol. 14, No. 1, pp. 29-42.

DOI: http://doi.org/10.1076/digc.14.1.29.8812 [ ]