About

Assistant Professor. Vinoo Alluri heads the Music Cognition group, which she started in 2017 when she joined IIIT-Hyderabad. Her research is highly interdisciplinary comprising several research areas including Music Cognition, Music Information Retrieval, Mental Well-being and Depression, and Computational Neuroscience.

Ongoing projects

A short description of a few ongoing projects and research areas.

Music and depression

Music serves a variety of functions in daily life and plays an important role in mental well-being by impacting moods, emotions and other affective states. Also, music can be considered a "mirror of the self" and our music listening strategies and habits speak volumes about our mental states and individual traits. The focus of this research is to identify risk of depression via music listening habits and uncover patterns that might be indicative of individual traits.

Cognitive neuroscience of music

The primary goal is to unearth music processing in the brain via functional magnetic resonance imaging (fMRI) and how individual differences (personality, musical expertise, musical aptitude, empathy) modulate functional connectivity thereof. This is part of the Tunteet Project lead by Prof. Elvira Brattico (Aarhus University, Denmark) in collaboration with Prof. Petri Toiviainen (University of Jyvaskyla) which aims at investigating music processing and musicality in the naturalistic listening paradigm and involves several neuroimaging and neurophysiological measures in addition to behavioral and cognitive tests.

Cocaine project

This line of research is part of the Addimex CONN project in Collaboration with Dr. Eduardo A. Garza-Villarreal (National Autonomous University of Mexico) and Associate Prof. Madhura Ingalhalikar (Symbiosis Institute of Technology, Pune), which aims at investigating ConneResearch Studentme of substance addiction in Mexican population. The aim is to investigate differences in functional connectivity in cocaine users and predicting whole-brain functional connectivity from strucutral conenctivity in the same.

Music, Brain, and Enculturation: Investigating Neural Correlates of Implicit Music Learning

This project comes under the VAJRA (Visiting Advanced Joint Research) Faculty Scheme in Collaboration with Prof. Petri Toiviainen of University of Jyvaskyla. The proposed project aims at determining how the brain processes musical features of varying levels of abstraction and how this depends on musical exposure, implicit learning, and enculturation. To this end, it uses a highly interdisciplinary approach combining state-of-the-art methods of brain imaging, computational music analysis, and artificial intelligence. In particular, it employs Deep Neural Networks (DNN) to learn abstract features from musical recordings, which are subsequently compared with brain imaging data recorded with functional magnetic resonance imaging during music listening.

Publications

Under Review

International Journals

  • Agrawal, Y., Carlson, E., Toiviainen, P. , Alluri, V. “Dance who you are: Decoding Individual differences and musical preference via music-induced movement.” Scientific Reports
  • Vuoskoski, J., Zickfeld, J., Alluri, V.; Moorthigari, V., Seibt, B. Feeling moved by music: Investigating continuous ratings and acoustic correlates. PloS One.
  • In refereed international journals and conferences

    2021

    • Agrawal, Y., Shanker, G., Alluri, V (2021) Transformer-based approach towards music emotion recognition from lyrics. In Proceedings of the 43rd European Conference on Information Retrieval.
    • Alluri, V., Mittal, A., SC, A., Vuoskoski, J., Saarikallio, S. Maladaptive music listening strategies are modulated by individual traits. Psychology of Music

    2020

    • Surana, A, Goyal, Y, Alluri, V. Static and Dynamic Measures of Active Music Listening as Indicators of Depression Risk. In Speech, Music, and Mind with Audio Satellite Workshop, Interspeech 2020.
    • Surana, A., Goyal, Y., Srivastava, M., Saarikallio, S, and Alluri, V. (2020) TAG2RISK: Harnessing Social Music Tags for Characterizing Depression Risk. In Proceedings of 21st International Society for Music Information Retrieval.
    • Agrawal, Y., Jain, S., Carlson, E., Toiviainen, P., Alluri, V. (2020) Towards Multimodal MIR: Predicting Individual differences from Music-induced Movement. In Proceedings of 21st International Society for Music Information Retrieval.
    • Moorthigari, V., Carlson, E., Toiviainen, P., Brattico, E., Alluri, V. (2020) Differential Effects of Trait Empathy on Functional Network Centrality. In The 13th International Conference on Brain Informatics. Virtual Conference.
    • Gandhi, R., Garimella, A., Toiviainen, P., Alluri, V. (2020) Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures. In The 13th International Conference on Brain Informatics. Virtual Conference.
    • Saarikallio, S., Alluri, V., Maksimainen, J. & Toiviainen, P. (2020) Emotions of music listening: comparison of an individualistic and a collectivistic culture. Psychology of Music.
    • Garimella, A., Rajguru, S., Singla, U., Alluri, V. (2020). Marijuana and the Hippocampus: A Longitudinal Study on the effects of Marijuana on Hippocampal Subfield Progress in Neuropsychopharmacology & Biological Psychiatry. Vol 101, pp.

    2019

    • Niranjan,D., Toiviainen, P., Brattico, B., and Alluri, V. (2019) Dynamic Functional Connectivity in the Musical Brain. In The 12th International Conference on Brain Informatics, Hainan, China.
    • Niranjan,D., Burunat, I., Toiviainen, P., Brattico, B., and Alluri, V. (2019) Influence of Musical Expertise on the processing of Musical Features in a Naturalistic Setting. Conference on Cognitive Computational Neuroscience 2019. Poster.
    • Agarwal, R., Singh, R., Saarikallio, S., McFerran, K, and Alluri, V. (2019) Mining Mental States using Music Associations. In Speech, Music, and Mind with Audio Satellite Workshop, Interspeech 2019.
    • Toiviainen, P., Burunat, I., Brattico, E., Vuust, P., Alluri, V. (2019) The chronnectome of musical beat. Neuroimage.

    2018

    • Tsatsishvili, V., Burunat, I., Cong, F., Toiviainen, P., Alluri, V., Ristaniemi, T. (2018) On application of Kernel PCA for Generating Stimulus Features for fMRI during Continuous Music Listening. Journal of Neuroscience Methods.
    • Hoefle, S., Engel, A., Basilio, R., Alluri, V., Toiviainen, P., Cagy, M., Moll, J (2018) Identifying musical pieces from fMRI data using encoding and decoding models. Scientific Reports.

    2017

    • Alluri V., Toiviainen, P., Burunat, I., Kluichko, M., Vuust, P., Brattico, E. (2017) Connectivity Patterns During Music Listening: Evidence for Actionbased Processing in Musicians. Human Brain Mapping. Vol 38 (6), pp. 2955– 2970.

    2016

    • Poikonen, H., Alluri, V., Brattico, E., Lartillot, O., Tervaniemi, M., and Huotilainen, M. "Event-related brain responses while listening to entire pieces of music." Neuroscience 312 (2016): 58-73.

    2015

    • Alluri V., Brattico, E., Toiviainen, P., Burunat, I., Bogert, B., Numminen, J., Kluichko, M. (2015) Musical expertise modulates functional connectivity of limbic regions during continuous music listening. Psychomusicology: Music, Mind and Brain. Vol 25(4), 443-454.
    • Brattico E, Bogert B, Alluri V, Tervaniemi M, Eerola T and Jacobsen T (2015). It’s sad but I like it: The neural dissociation between musical emotions and liking in experts and laypersons. Front. Hum. Neurosci. 9:676. doi: 10.3389/fnhum.2015.00676.
    • Burunat, I., Toiviainen, P., Alluri V., Bogert, B., Ristaniemi T., Sams, M., Brattico, E. (2015). The reliability of continuous brain responses during naturalistic listening to music. Neuroimage, 124: 224-231. doi:10.1016/j.neuroimage.2015.09.005

    2014

    • Toiviainen, P., Alluri, V., Brattico, E., Wallentin, M., & Vuust, P. (2014). Capturing the musical brain with Lasso: Dynamic decoding of musical features from fMRI data. NeuroImage, 88, 170–180.
    • Burunat, I., Alluri V., Toiviainen, P., Numminen, J., Brattico, E. (2014). Dynamics of brain activity underlying working memory for music in a naturalistic condition. Cortex, 57: 254-269.
    • Cong, F., Puoliväli, T., Alluri, V., Sipola, T., Burunat, I., Toiviainen, P., Nandi, A. K., Brattico, E., Ristaniemi T. (2014). Key Issues in Decomposing FMRI during Naturalistic and Continuous Music Experience with Independent Component Analysis, Journal of Neuroscience Methods, 223:74-84.

    2013

    • Alluri V., Toiviainen P., Lund T., Wallentin M., Vuust P., Nandi A., Ristaniemi T., and Brattico, E. (2013). From Vivaldi to Beatles and back: predicting brain responses to music. Neuroimage. 83, 627-636. doi: 10.1016/j.neuroimage.2013.06.064
    • Cong, F., Alluri, V., Nandi, A. K., Toiviainen, P., Fa, R., Abu-Jamous, B., Gong, L., Craenen, B. G. W., Poikonen, H., Huotilainen, M., & Ristaniemi, T. (2013). Linking brain responses to naturalistic and continuous music through analysis of ongoing EEG and stimulus features. IEEE Transactions on Multimedia, 15(5): 1060-1069. DOI: 10.1109/TMM.2013.2253452.
    • Tsatsishvili, V., Cong, F., Puoliväli, T., Alluri, V., Toiviainen, P., Nandi, A.K., Brattico, E., & Ristaniemi, T. (2013). Dimension reduction for individual ICA to decompose fMRI during real-world experiences: principal component analysis vs. canonical correlation analysis. Proc. of 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 137–142.
    • Sipola, T., Cong, F., Ristaniemi, T., Alluri, V., Toiviainen, P., Brattico, E., Nandi, A. (2013). Diffusion Map for Clustering FMRI Spatial Maps Extracted by Independent Component Analysis, Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP) 2013, Southampton, United Kingdom, September 22-25.
    • Tsatsishvili V, Cong F, Ristaniemi T, Toiviainen P, Alluri V, Brattico E, et al. (2013) Generation of stimulus features for analysis of FMRI during natural auditory experiences. Signal Processing Conference (EUSIPCO), Proceedings of the 22nd European; IEEE.
    • Tsatsishvili V, Cong F, Puoliväli T, Alluri V, Toiviainen P, Nandi AK, et al. (2013) Dimension Reduction for Individual ICA to Decompose FMRI during Real-World Experiences: Principal Component Analysis vs. Canonical Correlation Analysis. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN); Bruges, Belgium.
    • Cong, F., Alluri, V., Nandi, A., Toiviainen, P., Fa, R., Abu-Jamous, B., Gong, L., Craenen, B., Poikonen, H., Huotilainen, M., Ristaniemi, T. (2013). Linking Brain Responses to Naturalistic Music through Analysis of Ongoing EEG and Stimulus Features, IEEE Transactions on Multimedia, 15(5): 1060-1069.
    • Puoliväli, T., Cong, F., Alluri, V., Lin, Q., Toiviainen, P., Nandi, A., Brattico, E., Ristaniemi, T. (2013). Semi-blind Independent Component Analysis of Functional MRI Elicited by Continuous Listening to Music, International Conference on Acoustics, Speech, and Signal Processing 2013 (ICASSP2013), Vancouver, Canada, on May 26-31, pp.1310-1314.

    2012

    • Alluri, V. & Toiviainen, P. (2012). Effect of enculturation on the semantic and acoustic correlates of polyphonic timbre. Music Perception, 29(3), 297-310.
    • Alluri, V., Toiviainen, P., Jääskeläinen, I., Sams, M., Glerean, E., & Brattico, E. (2012). Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. Neuroimage. 59, 3677-3689. doi:10.1016/j.neuroimage.2011.11.019.
    • Eerola, T., Alluri, V., & Ferrer, R. (2012). Timbre and affect dimensions: Evidence from affect and similarity ratings and acoustic correlates of isolated instrument sounds. Music Perception, 30(1), 49-70.
    • Cong, F., Phan, A. H., Zhao, Q., Nandi, A, K, Alluri, V., Toiviainen, P., Poikonen, H., Huotilainen, M., Cichocki, A., & Ristaniemi, T. (2012). Analysis of Ongoing EEG Elicited by Natural Music Stimuli Using Nonnegative Tensor FaResearch Studentrization. In Proc. The 2012 European Signal Processing Conference (EUSIPCO-2012), Bucharest, Romania, August 27-31, 2012, 494-498.

    2011

    • Brattico, E., Alluri V., Bogert, B., Jacobsen, T., Vartiainen, N., Nieminen, S., & Tervaniemi, M. (2011). A functional MRI study of happy and sad emotions in music with and without lyrics. Frontiers in Psychology 2, 308. doi: 10.3389/fpsyg.2011.00308.

    2010

    • Alluri, V. & Toiviainen, P. (2010). Exploring perceptual and acoustic correlates of polyphonic timbre. Music Perception, 27(3), 223–241.
    • Alluri, V., & Toiviainen, P. (2010). Cross-cultural similarities in polyphonic timbre perception. Proceedings of the 11th International Conference on Music Perception and Cognition, (ICMPC). Seattle, United States: University of Washington.

    2009

    • Alluri, V. & Toiviainen, P. (2009). In search of perceptual and acoustic correlates of polyphonic timbre. In J. Louhivuori, T. Eerola, S. Saarikallio, T. Himberg, & P.-S. Eerola (Eds.) Proceedings of the 7th Triennial Conference of European Society for the Cognitive Sciences of Music. Jyväskylä, Finland.

    2008

    • Eerola, T., Alluri, V., & Ferrer, R. (2008). Emotional connotations of isolated instruments sounds. In Proceedings of the 10th International Conference on Music Perception and Cognition (ICMPC10), pp. 483–489, Sapporo, Japan. University of Hokkaido.

    Book Chapters

    • Alluri V, Kadiri, S (2019) Neural Correlates of Timbre Processing. In K. Siedenburg, et al. (Eds.), Timbre: Acoustics, Perception, and Cognition, Springer Handbook of Auditory Research 69.
    • Brattico, E & Alluri, V (in revision) Music in all its beauty: Adopting the naturalistic paradigm to uncover brain processes during the aesthetic musical experience. Neuroaesthetics in Focus.

    Presentations (Spoken and Poster) in Conferences and other contexts

    2021

    • Gandhi, Rohan, Garimella A., Toiviainen P., Alluri V. (2021) Identifying Individuals Using Instantaneous Phase Synchrony as a Dynamic Functional Connectivity Measure. In ACCS7.
    • Subramaniam, S.,Mittal, A.,Vuoskoski, J.,Alluri, V. Music or Lyrics? Individual differences associated with listening strategies. In ICMPC16.
    • Khan, F.F.,Alluri, V.,Carlson, E.,Saarikallio, S. Cross-Cultural study on usage of music for mood regulation during a pandemic. In ICMPC16.
    • Mittal, A.,Subramanian, S.,Gulati, K.,Bhargava, H.,Chaturvedi, SK,Andrade, C.,Gangadhar, B.N.,Alluri, V.,Hegde, S. Assessing the validity of the Healthy-Unhealthy Music Scale in patients with depression: A study from India. In ICMPC16.
    • Agrawal, Y.,Alluri, V. Personality correlates of Preferred Emotions through Lyrics. In ICMPC16.
    • Goyal, Y.,Alluri, V. Artist2Risk: Predicting Depression Risk based on Artist Preferences. In ICMPC16.
    • Guru Ravi Shanker, R.,Agrawal, Y.,Alluri, V. Preferences for instrumental music on online music streaming platforms associated with individual differences. In ICMPC16.
    • Goyal, Y.,Hanji, S.,Carlson, E.,Alluri, V. Tag-based and acoustic-feature based emotions associated with online music consumption and personality. In ICMPC16.
    • Yadav, P.,Kala, D.,Mankodi, N.,Hanji, S.,Alluri, V. Sing me a story: Background Music Generation for Books. In ICMPC16.
    • Hanji, S.,Goyal, Y.,Alluri, V. Exploring gender-specific music preferences associated with risk for depression on online music streaming platforms. In ICMPC16.
    • Harris, M.Y,Alluri, V. Case Study: Appreciation of Complex Music in a Cognitively Impaired Subject. In ICMPC16.
    • Timmers, R.,Dibben, N.,Doffmn, M.,Ambrazevičius, R.,Aliyeva, I.,Alluri, V.,Castro Cifuentes, J.,Davidson, J.,Hegde, S.,Garrido, S.,Nogaj, A.,Oldendaal, A.,Pérez-Acosta, G. Connectivity and diversity in music cognition. In ICMPC16.
    • Agarwal, R.,Singh, R.,Toiviainen, P.,Alluri, V. Music emotion recogniton from lyrics using Transformers-Capsule network. In ICMPC16.
    • Alluri, V. Investigating neural effects of musical training using the dynamic, model-free naturalistic paradigm. Symposium on Neurodynamics Of Complex Mental Processing: What Can (And Can’t) We Learn From Engagement With Full- Length Pieces Of Music. The Neurosciences And Music - VII Conference. Aarhus.
    • Moorthigari, V.,Carlson, E.,Toiviainen, P.,Vuust, P., Brattico, E.,Alluri, V. Trait empathy modulates music-related functional connectivity. Frontiers in Neuroscience

    2019

    • Kedia, A., Abrol, N., Garza-Villarreal, E., Alluri, V. (2019). Resting state community structure in cocaine dependence. In Organization for Human Brain Mapping. Rome, Italy. Poster
    • Moorthigari, V., Toiviainen, P., Brattico, E., Alluri, V. (2019). Differential Effects of Trait Empathy on Functional Network Centrality. In Organization for Human Brain Mapping. Rome, Italy. Poster .
    • Alluri, V., Toiviainen, P., Burunat, I., Brattico, E. (2019). Effect of Active vs Passive Experience On Functional Network Centrality During Music Listening. In Organization for Human Brain Mapping. Rome, Italy. Poster
    • Toiviainen, P., Alluri, V., Burunat, I., Brattico, E (2019). Musical beat salience modulates functional network centrality. In Organization for Human Brain Mapping. Rome, Italy. Poster
    • Garimella, A., Alluri, V., Fruholz, S. (2019). A Study on Personality Traits and it’s Associations with Hippocampal Subfield Volumes in Psychologically Healthy Individuals. In Organization for Human Brain Mapping. Rome, Italy. Poster.
    • Varghese, S., Goel, M., Alluri, V. (2019). Nature of Musical Preferences Among Autistic Kids - Pilot Study in an Indian Context. The 2019 Biennial Meeting of the Society for Music Perception and Cognition. New York City, USA.

    2018

    • Mittal, A., Vuoskoski, J., Alluri, V. (2018). Personality, trait empathy, and kinds of musical reward predict healthy and unhealthy music listening strategies. The 15th International Conference on Music Perception and Cognition, (ICMPC). Graz, Austria. Poster.
    • Subramaniam, S., Mittal, A., Alluri, V. (2018). Indian Validation of Healthy-Unhealthy Music Scale (HUMS). The 15th International Conference on Music Perception and Cognition, (ICMPC). Graz, Austria. Poster.
    • Saarikallio, S., Alluri, V., Maksimainen, J. (2018). Cultural faResearch Studentrs in the constitution of emotions in meaningful music listening experiences. The 15th International Conference on Music Perception and Cognition, (ICMPC). Graz, Austria. Presentation.

    2015

    • Toiviainen, P. Alluri, V., & Brattico, E. (2015). Lateralized modulation of amygdala connectivity by valence during continuous music listening. In 4th International Conference on Music and Emotion. Geneva. Poster.
    • Alluri, V., Toiviainen, P., Brattico, E., (2015). Subcortical network hub differences in musicians and non-musicians during continuous listening to music. In 4th International Conference on Music and Emotion. Geneva. Poster.
    • Toiviainen, P., Alluri, V., Burunat, I., & Brattico, E. (2015) Whole-Brain Functional Connectivity During Naturalistic Music Listening: Effect of Musical Training. Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music, Manchester, UK.

    2014

    • Alluri, V., Toiviainen, P., Burunat, I., Bogert, B., Brattico, E., (2014). Musical training modulates liking-dependent connectivity during continuous listening. In The Neurosciences and Music V: Cognitive Stimulation and Rehabilitation. Dijon. Poster.

    2013

    • Tsatsishvili, V., Cong, F., Puoliväli, T., Alluri, V., Toiviainen, P., Nandi, A. K., Brattico, E., Ristaniemi, T (2013). Dimension Reduction for Independent Component Analysis to Decompose fMRI during Real-World Auditory Experiences: Canonical Correlation Analysis vs. Principal Component Analysis. In 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Belgium. Poster.

    2012

    • Alluri, V., Toiviainen, P., Lund, T., Wallentin, M., Vuust, P., & Brattico, E. (2012). From Vivaldi to Beatles and back: Predicting brain responses to music in real time. In The 16th Annual Symposium for Music Scholars in Finland. Jyväskylä, Finland: University of Jyväskylä, Presentation.
    • Alluri, V., Toiviainen, P., Lund, T., Wallentin, M., Vuust, P., Brattico, E (2012). From Vivaldi to Beatles and Back: Predicting Brain Responses to Music in Real Time. In The 12th International Conference on Music Perception and Cognition, (ICMPC). Thessaloniki, Greece: Aristotle University of Thessaloniki. Presentation.
    • Toiviainen, P., Alluri, V., Brattico, E., Nielsen, A. H., Dohn, A., Wallentin, M., Vuust, P (2012). I Can Read Your Mind: Inverse Inference in Musical Neuroinformatics. In The 12th International Conference on Music Perception and Cognition, (ICMPC). Thessaloniki, Greece: Aristotle University of Thessaloniki. Presentation.

    2011

    • Alluri, V., Toiviainen, P., Jääskeläinen, I., Sams, M., Glerean, E., & Brattico, E. (2011). Processing Tango Nuevo in the brain. In The Neurosciences and Music - IV. Edinburgh, Scotland, UK. Poster.
    • Glerean, E., Brattico, E., Toiviainen, P., Alluri, V., Jääskeläinen, I. P., Sams, M. (2011). Structural hearing of music: patterns of dynamic functional connectivity with fMRI. In The Neurosciences and Music – IV Learning and Memory, Edinburgh, UK. Poster.
    • Alluri, V., Toiviainen, P., Jääskeläinen, I., Sams, M., Glerean, E., & Brattico, E. (2011). Processing Tango Nuevo in the brain. In 100 Years of Musicological Scholarship Celebration Symposium, Helsinki, Finland. Presentation.

    2010

    • Alluri, V. & Toiviainen, P. (2010). Cross-cultural similarities in polyphonic timbre perception. In The 11th international conference on music perception and cognition. Seattle, USA. Presentation.
    • Alluri, V., Toiviainen, P., Sams, M., Jääskeläinen, I., & Brattico, E. (2010). Brain correlates of musical feature processing during listening to modern tango. In 11th International Conference on Music Perception and Cognition. Seattle: Washington US. Poster.

    2009

    • Alluri, V. & Toiviainen, P. (2009). Exploring perceptual and acoustical correlates of polyphonic timbre. In The 13th Annual Symposium for Music Scholars in Finland. Turku, Finland: University of Turku, Presentation.

    Keynotes

    2018

    • Alluri, V. (2018). Timbre in the Brain. At Timbre2018 Conference, McGill Univeristy. Montreal, Canada.

    2014

    • Alluri, V. (2014). fMRI meets MIR: Neural Correlates of Music and Pleasure Processing During Naturalistic Listening. At 3rd International Symposium Frontiers in Neuroscience. Buzios, Brazil.

    Invited Talks

    • Alluri, V. (2021). Music and Brain. Implications for Learning - Teaching the Learning Brain Workshop at International Institute of Information Technology-Hyderabad, India
    • Alluri, V. (2020). Music Research in the era of Big Data. At Hopper India, Virtual Conference.
    • Alluri, V. (2019). Dynamic music processing in the brain. University of Oslo.
    • Alluri, V. (2019). Music as a mirror of the self. At Indian Institute of Technology-Bombay, India
    • Alluri, V. (2019). Decoding Brain States using Music. At Indian Institute of Technology-Bombay, India
    • Alluri, V. (2018). Decoding Brain States using Music. At Indian Institute of Technology-Hyderabad, India
    • Alluri, V. (2018). Beyond Machine Learning: Decoding Brain States using Music. At Adobe Research, Benguluru, India
    • Alluri, V. (2018). The Musical Brain. At KIMS Hospital, Hyderabad, India
    • Alluri, V. (2017). Music Processing During Naturalistic Listening and the Effect of Musical Expertise. At the 23rd Frontiers of Research in Speech and Music Conference, Rourkela, India
    • Alluri, V. (2017). The Musical Brain. At The CogTalk, Center for Neural and Cognitive Science. University of Hyderabad, India
    • Alluri, V. (2017). Functional neuroimaging studies on Music and the Brain. National Institute of Mental Health & Neuro Sciences, Benguluru, India

    Public media appearances

    • Alluri, V. (2020). Your playlist confirms your mood. https://ktnewslive.com/your-playlist-mirrors-your-mood-confirms-iiit-hyderabad-study/
    • Alluri, V. (2020). Music and Moods: Research verifies the obvious http://arnoldit.com/wordpress/2020/10/21/music-and-moods-research-verifies-the-obvious/
    • Alluri, V. (2020). Individuals at Depression Risk Listen More to Sad Songs: Studyhttps://www.google.com/amp/s/www.newsgram.com/depression-risk-listen-sad-songs/amp/
    • Alluri, V. (2020). http://www.nihfw.org/HealthNews681a.html?id=1
    • Alluri, V. (2020). https://www.newkerala.com/news/2020/178071.htm
    • Alluri, V. (2020). https://philtgun.me/2020/10/16/ismir/
    • Alluri, V. (2020). Let's Talk AI - ML in Music. https://www.youtube.com/watch?v=iKFCBctqOmQ&t=1456s
    • Alluri, V. (2020). Music and Engineering https://www.youtube.com/watch?v=lFOPoAdiAh0&t=594s
    • Alluri, V. (2020). Women in Engineering. https://www.youtube.com/watch?v=n3VD9XcONZs.
    • Alluri, V. (2020).Newspaper article. IIIT Hyderabad develops model to predict traits through music-induced movement. Telangana Today, 17-July-2020.
    • Alluri, V. (2019). Web news, How music psychology can boost mental illness identification, Down To Earth Magazine (blog)-10-Oct-2019.
    • Alluri, V. (2019). Newspaper article, Not all is music to our ears, say researchers, The Hindu, 20-Sep-2019.
    • Alluri, V. (2019). Newspaper article, Music will help identify mental illness, claims study, Telangana Today, 21-Sep-2019.
    • Alluri, V. (2018). Newspaper article, The road to musical recovery, Deccan Chronicle, 30-Mar-2018.
    • Alluri, V. (2014). Web news, Different Brain Regions Handle Different Music Types, March 12, 2014, Scientific American.
    • Alluri, V. (2013). Web news, This is your brain on Vivaldi and Beatles, August 7, 2013, Science Daily.
    • Alluri, V. (2011). Web news, Musiikki aktivoi aivoissa liike- ja tunnealueita (Music activates motor and emotion areas in the brain). December 5, 2011, YLE, Finland.
    • Alluri, V. (2011). Web news, Musiikin kuuntelu saa aivot syttymään (Listening to music lights up the brain). December 5, 2011, Turun Sanomat, Finland.
    • Alluri, V. (2011). Web news, Muusika ergastab tervet aju (Music activates the whole brain). December 8, 2011, Postimees, Estonia.
    • Alluri, V. (2013). Web news, This is your brain on Vivaldi and Beatles, August 7, 2013, Science Daily.
    • Alluri, V. (2011). Web news, Study reveals how wide brain networks are activated during music listening. December 5, 2011, Medical News.
    • Alluri V. (2011). Web news, Toe-Nailed: The Secret Of Dancing. December 8, 2011. Croatian Times.
    • Alluri, V. (2011). Web news, Muestran por primera vez cómo la música activa las áreas emocional, motora y creativa del cerebro. December 8, 2011, Europa Press.
    • Alluri, V, (2011). Web news, Pour l’écoute de musique lumières jusqu’à tout le cerveau. December 8, 2011, Francaise Nouvelles. tout-le-cerveau/
    • Alluri, V. (2011). Web news, Прослушивание музыки активирует весь мозг (listening to music activates the whole brain). December 6, 2011, PsyPress, Russia.
    • Alluri, V. (2011). Newspaper article, Music does wonders to the human brain, says researcher duo. December 23, 2011. The Hindu, India.
    • Alluri, V. (2011). Web news, How music touches the brain. December 27, 2011, Science Nordic. http://sciencenordic.com/how-music-touches-brain

Associated Research Groups

Team

Dr.Vinoo Alluri

Assistant Professor

Arun Garimella

Research Student

Vishnu Moorthigari

Research Student

Aayush Surana

Research Student

Yash Goyal

Research Student

Yudhik Agrawal

Research Student

Ayush Anand

Research Student

Sharon Varghese

Research Student

Rohan Gandhi

Research Student

Arihant Jain

Research Student

Saumya Srivastava

Research Student

Sai Siddharth

Research Student

Jayachandran S

Research Student

Sai Karthik

Research Student

Guru Shankar

Research Student

Azhagammall

Research Student

Dipankar Niranjan

Research Student

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