Computational Exploration of Neural Dynamics Underlying Music Cues among Trained and Amateur Subjects Akhil Kalariparambil Santhosh, Muralikrishna Sangilirajan, Nijin Nizar, Rakhi Radhamani, Dhanush Kumar, Sandeep Bodda, Shyam Diwakar Procedia Computer Science, 2020 Exploring the neural basis of music perception and processing has become relevant in neuroscience research for studying human cognition and emotion. Recently many neuroimaging studies have seen brain structure differences in responses to various auditory cue, including music stimuli among diverse individuals. Research still lacks to correlate cortical dynamics in accordance with music familiarity among professionally trained musicians and amateur subjects. With this context, this short-term study reports on effectively recording and computational analysis of neural signals for understanding the cortical network correlates associated with different auditory cues (Western music, Indian classical music, Guitar music and stressor noise) on trained and amateur subjects. On the basis of cognitive battery score analysis, the study recruited 20 volunteering healthy subjects, and grouped as trained subjects (N=10), having music training and amateur subjects (N=10), having no prior music training. EEG recordings were taken for 7 minutes in an eye closed relaxed state, for different auditory stimuli, in a sound proof and dimly lit Indian laboratory settings. In both amateur and trained subjects, heat maps indicated cortical re-organization of ɵ, α, β, and γ rhythms when exposed to different auditory stimuli at similar time bins. Cortical mapping indicated frontal (F3, F4, F7, F8), temporal (T7, T8) and parietal (P7 and P8) as functional regions for processing an auditory information with improved cognitive, attention, memory and language processing skills among trained and amateur subjects in response to familiar music stimuli. With other biosignals analysis techniques and using electrical engineering principles, the study could be further expanded to explore brain anatomy with music therapy as a tool in clinical, therapeutic and community settings.
Computational analysis of cortical EEG biosignals and neural dynamics underlying an integrated mind-body relaxation technique Rakhi Radhamani, Nijin Nizar, Dhanush Kumar, Gayathri Suresh Pillai, Lakshmi Swapna Prasad, Sreehari Sudheer Jitha, Midhun Krishna Vannathi Kuniyil, Abhijith Anil Sekhar, Vaishnav Satheesh Kumar, Shobhana Pillai, Shyam Diwakar Procedia Computer Science, 2020 Recent advances in brain computer interfaces (BCI) have brought paradigm shifts in pre-clinical neuroscience research relating various levels of information abstraction in brain. Recent years have seen several neuro electrophysiology studies on traditional and cultural stress reduction methods especially, related to short duration practices that can alleviate workplace stress. With stress reduction using sustainable methods in context, this paper reports on the analysis of biosignals for understanding the neural dynamics in human subjects practicing traditional relaxation techniques using electroencephalography (EEG) technique. The study was conducted among 20 healthy volunteering undergraduate students. Students were randomized as experimental group (N=10), provided yoga and meditation training for 8 weeks, and control group (N=10) with no experience on yoga or meditation. As a reference for analyzing the effect of relaxation techniques in daily life activities, three cognitive tasks, namely, word memory task, psychomotor vigilance task, and steady hand-game task were performed by participants as a pre-EEG recording task. EEG recordings were taken for 160 seconds in eyes-opened relaxed state in a dimly-lit sound-proof environment. In experimental group, after practicing integrated yoga-meditation technique for 8 weeks, a post EEG recording was taken. Relating several functional areas of the brain, cortical activation of the α, β, γ and θ rhythms in the frontal, temporal and parietal lobes of the brain with significant power spectral density variations in experiment group indicating diversity in brain patterns among week-1 to week-8 practitioners was observed. This short-term study indicates the plausibility of integrated yoga-meditation as sustainable relaxation techniques that can influence in improving the coordination in daily life tasks.
Mathematical Models as Bioscience Educational Informatics Tools Dhanush Kumar, Pratheeksha Subramanyan, Amitha Prasad, Athira Kaimal, Aiswarya Santhosh, Bipin Nair, Krishnashree Achuthan, Shyam Diwakar 2018 International Conference on Advances in Computing Communications and Informatics Icacci 2018, 2018 Organizations and universities have started preparing teachers and students to use mathematical models delivered through technology for improving student's understanding of concepts, pedagogy and laboratory skill training. Bioscience education has started involving virtual laboratories as an appropriate technology to allow student's reflective learning. This paper showcases recent attempts in using mathematical models as virtual laboratories in enhancing biology education. The purpose of this article is to list common simulations used in demonstration of classroom topics in undergraduate and postgraduate bioscience education in India and a review of the effectiveness of virtual labs in blended classroom education. Based on our experience of having designed, developed and deployed 360+ online experiments, this paper also reports usage-based studies in augmenting student learning and choice of models that help design such online tools.
Experimental Recording and Computational Analysis of EEG signals for a Squeeze Task: Assessments and Impacts for Applications Maya Krishnan, Liya Edison, Rakhi Radhamani, Nijin Nizar, Dhanush Kumar, Manjusha Nair, Bipin Nair, Shyam Diwakar 2018 International Conference on Advances in Computing Communications and Informatics Icacci 2018, 2018 Localization of neural activities from electroencephalography measurements and attributing a motor task to its neural signature is becoming a trend in neuroscience and brain computer interface research. For elucidating brain functions in healthy subjects and motor dysfunctions patients, a motor-related squeeze task, a simple daily task was employed in this study. Using low-cost electroencephalography devices in mapping human brain for understanding neural microcircuitry roles during a squeeze task as a biomarker for brain function was the objective. EEG data was recorded from eight healthy right-handed volunteers (4 female and 4 male) of different age group, performing squeeze task on a rubber ball applying graded forces. Using time and frequency domain analysis, we show frontal asymmetry attributed to activity from electrodes in AF3, AF4, F3, F4, F7 and F8 role-specific regions for identifying motor planning and motor execution characterized by predominant mu and beta oscillations.
Implementation of analog electrical neurons as virtual labs for neuroscience education Nijin Nizar, Rakhi Radhamani, Dhanush Kumar, Bipin Nair, Shyam Diwakar, Krishnashree Achuthan 2017 International Conference on Advances in Computing Communications and Informatics Icacci 2017, 2017 Over the last few years, research was aimed to investigate neuromorphic computing methodologies for understanding the functions and behavior of biological neurons on a real-time basis. In neuron electrical models, the principles of computational neuroscience is translated on to analog hardware and the circuits reproduces the bio-physical properties of neurons. Our aim was to implement analog neuron models based on Hodgkin-Huxley formalism, and to deploy it as an educational platform for understanding the cellular and behavioral neuroscience. We have taken multiple analog hardware models and implemented its corresponding equivalent for studying the pedagogical concepts such as spiking, bursting, effects of ion channels, effect of pharmacological agents on spiking properties. We implemented remote electrical laboratories for science and engineering education bridging computing systems and neural studies. Initial implementation of the remote labs were done with commercial software which was later replaced with Free and Open Source Software (FOSS) architecture. Pedagogical analysis indicated, effectiveness in the usage of analog neuron model as a learning material for complementing neuroscience education in universities. Post-deployment studies on students and teachers includes perceived use of remote experimentation in a blended classroom scenario.
Online bio-robotics labs: Open hardware models and architecture Dhanush Kumar, Krishnashree Achuthan, Bipin Nair, Shyam Diwakar International Conference on Robotics and Automation for Humanitarian Applications Raha 2016 Conference Proceedings, 2017 This paper is on free and open source software architecture (FOSS) for remote labs in order to address the affordability and scalability of robotic education technology for sustainable deployments. The proposed Raspberry Pi-Arduino-based model architecture ensures lower cost while allowing some scalability, interoperability, portability and interchangeability to the low-cost online laboratory. Remotely controlled lab provides training skills in bio-inspired robotics. Our previous studies had shown that the implementation of remotely controlled online labs in the curriculum improved active learning among students, collaboration, and augmented problem solving skills. The preliminary implementation involved proprietary software, as the remote experiment accessibility platform, which was later replaced with FOSS technology. The advantages with FOSS included a significantly lower cost and scalability for concurrent usage. The paper also reports on usage analysis and common issues in both cases of implementations.
Low cost neuro-inspired robots for sustainable laboratory education Rakhi Radhamani, Nijin Nizar, Dhanush Kumar, Bipin Nair, Krishnashree Achuthan, Shyam Diwakar International Conference on Robotics and Automation for Humanitarian Applications Raha 2016 Conference Proceedings, 2017 Today's technological innovations accelerate the persistence of robots for humanitarian purposes. As a significant component, the emerging role of robotics and educational technologies has been growing instantly. Several attempts have been introduced in the education sector to promote robotics education, but successful implementation of learning platforms still pose challenges. This paper highlights deployment studies based on a low cost bio-inspired robotics laboratory. The experiments were developed as part of a National Mission on Education through ICT, and provided free access to users all over the world. The present study seeks to examine the role of low cost remotely controlled neuro-inspired robotics labs as an educational tool. Our goal was to analyze the diffusion of remotely controlled robotics labs as a new pedagogy for augmenting laboratory education, by enhancing skill training among students, aiding as a teaching element and promoting distant education thereby bringing a sustainable development in robotics based education. Feedback data was collected from 100 science and engineering students, 50 university professors and 100 online users from distant locations to analyze remote robotics labs as an adaptable tool in education. The study suggested perceived usefulness of low cost robotics platform as a supplementary learning and teaching tool for enhancing robotics education. The study also promotes the perceived usage of robotics for vocational skills and as a technology education platform for learners.
Self-Guided Bioinformatics Learning Through Virtual Labs: Toward Sustainable, Inclusive Learning S Satish Mahindrakar, D Kumar, R Radhamani, A Vijayan, K Achuthan, ... Shubham and Kumar, Dhanush and Kumar, Dhanush and Radhamani, Rakhi and … , 2025 2025
A Computational Data Framework for Health Prediction Using Artificial Intelligence and Vedic Principles K Raj Thekkedathu, R Gondane, A Vijayan, D Kumar, S Diwakar Proceedings of the International Conference on Sustainable & Resilient … , 2025 2025
Developing and Deploying Open-Access Web-Based Educational Tools for Teaching Data Preprocessing and Classification in Bioinformatics B Ottappurakkal, D Kumar, A Vijayan, R Radhamani, K Achuthan, ... International Conference on Computing and Network Communications, 637-650 , 2023 2023 Citations: 1
What virtual laboratory usage tells us about laboratory skill education pre-and post-COVID-19: Focus on usage, behavior, intention and adoption R Radhamani, D Kumar, N Nizar, K Achuthan, B Nair, S Diwakar Education and information technologies 26 (6), 7477-7495 , 2021 2021 Citations: 190
Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function D Kumar, AC Puthanveedu, K Mohan, LA Priya, A Rajeev, AC Harisudhan, ... Cybernetics, Cognition and Machine Learning Applications: Proceedings of … , 2021 2021 Citations: 2
Computational analysis of cortical EEG biosignals and neural dynamics underlying an integrated mind-body relaxation technique R Radhamani, N Nizar, D Kumar, GS Pillai, LS Prasad, SS Jitha, ... Procedia Computer Science 171, 341-349 , 2020 2020 Citations: 14
Computational exploration of neural dynamics underlying music cues among trained and amateur subjects AK Santhosh, M Sangilirajan, N Nizar, R Radhamani, D Kumar, S Bodda, ... Procedia Computer Science 171, 1839-1847 , 2020 2020 Citations: 8
Mathematical Models as Bioscience Educational Informatics Tools D Kumar, P Subramanyan, A Prasad, A Kaimal, A Santhosh, B Nair, ... 2018 International Conference on Advances in Computing, Communications and … , 2018 2018 Citations: 2
Experimental recording and computational analysis of EEG signals for a squeeze task: assessments and impacts for applications M Krishnan, L Edison, R Radhamani, N Nizar, D Kumar, M Nair, B Nair, ... 2018 International Conference on Advances in Computing, Communications and … , 2018 2018 Citations: 7
Using learning theory for assessing effectiveness of laboratory education delivered via a web-based platform S Diwakar, R Radhamani, N Nizar, D Kumar, B Nair, K Achuthan International Conference on Remote Engineering and Virtual Instrumentation … , 2018 2018 Citations: 10
Virtual and remote laboratories augment self learning and interactions: Development, deployment and assessments with direct and online feedback D Kumar, R Radhamani, N Nizar, K Achuthan, B Nair, S Diwakar PeerJ Preprints , 2018 2018 Citations: 20
Implementation of analog electrical neurons as virtual labs for neuroscience education N Nizar, R Radhamani, D Kumar, B Nair, S Diwakar, K Achuthan 2017 International Conference on Advances in Computing, Communications and … , 2017 2017 Citations: 2
Enabling a Freely Accessible Open Source Remotely Controlled Robotic Articulator with a Neuro-Inspired Control Algorithm. A Vijayan, C Nutakki, D Kumar, K Achuthan, B Nair, S Diwakar Int. J. Online Eng. 13 (1), 61-75 , 2017 2017 Citations: 18
Online bio-robotics labs: Open hardware models and architecture D Kumar, K Achuthan, B Nair, S Diwakar 2016 International Conference on Robotics and Automation for Humanitarian … , 2016 2016 Citations: 7
Low cost neuro-inspired robots for sustainable laboratory education R Radhamani, N Nizar, D Kumar, B Nair, K Achuthan, S Diwakar 2016 International Conference on Robotics and Automation for Humanitarian … , 2016 2016 Citations: 6
Implementing and Deploying Magnetic Material Testing as an Online Laboratory R Radhamani, D Kumar, K Achuthan, B Nair, S Diwakar The International Symposium on Intelligent Systems Technologies and … , 2016 2016
Complementing education via virtual labs: Implementation and deployment of remote laboratories and usage analysis in South Indian villages. S Diwakar, D Kumar, R Radhamani, H Sasidharakurup, N Nizar, ... Int. J. Online Eng. 12 (3), 8-15 , 2016 2016 Citations: 72
Implementing a web-based simulator with explicit neuron and synapse models to aid experimental neuroscience and theoretical biophysics education A Sridharan, H Sasidharakurup, D Kumar, N Nizar, B Nair, K Achuthan, ... Proceedings of the International Conference on Signal, Networks, Computing … , 2016 2016 Citations: 7
Role of Biotechnology simulation and remotely triggered virtual labs in complementing university education R Radhamani, H Sasidharakurup, D Kumar, N Nizar, K Achuthan, B Nair, ... 2015 International Conference on Interactive Mobile Communication … , 2015 2015 Citations: 15
Mobile learning and biotechnology education via remote labs: Deployment-based study on real time shared resources D Kumar, H Sasidharakurup, R Radhamani, N Nizar, K Achuthan, B Nair, ... 2015 International Conference on Interactive Mobile Communication … , 2015 2015 Citations: 10
MOST CITED SCHOLAR PUBLICATIONS
What virtual laboratory usage tells us about laboratory skill education pre-and post-COVID-19: Focus on usage, behavior, intention and adoption R Radhamani, D Kumar, N Nizar, K Achuthan, B Nair, S Diwakar Education and information technologies 26 (6), 7477-7495 , 2021 2021 Citations: 190
Complementing education via virtual labs: Implementation and deployment of remote laboratories and usage analysis in South Indian villages. S Diwakar, D Kumar, R Radhamani, H Sasidharakurup, N Nizar, ... Int. J. Online Eng. 12 (3), 8-15 , 2016 2016 Citations: 72
Role of ICT-enabled virtual laboratories in biotechnology education: Case studies on blended and remote learning S Diwakar, D Kumar, R Radhamani, N Nizar, B Nair, H Sasidharakurup, ... 2015 International Conference on Interactive Collaborative Learning (ICL … , 2015 2015 Citations: 48
Remote triggered photovoltaic solar cell lab: Effective implementation strategies for Virtual Labs J Freeman, A Nagarajan, M Parangan, D Kumar, S Diwakar, K Achuthan 2012 IEEE International Conference on Technology Enhanced Education (ICTEE), 1-7 , 2012 2012 Citations: 33
Using Virtual Laboratories as Interactive Textbooks: Studies on Blended Learning in Biotechnology Classrooms. H Sasidharakurup, R Radhamani, D Kumar, N Nizar, K Achuthan, ... EAI Endorsed Trans. e Learn. 2 (6), e4 , 2015 2015 Citations: 30
Implementing a Remote-Triggered Light Microscope: Enabling Lab Access via VALUE Virtual labs D Kumar, H Singanamala, K Achuthan, S Srivastava, B Nair, S Diwakar Proceedings of the 2014 International Conference on Interdisciplinary … , 2014 2014 Citations: 27
Virtual and remote laboratories augment self learning and interactions: Development, deployment and assessments with direct and online feedback D Kumar, R Radhamani, N Nizar, K Achuthan, B Nair, S Diwakar PeerJ Preprints , 2018 2018 Citations: 20
Enabling a Freely Accessible Open Source Remotely Controlled Robotic Articulator with a Neuro-Inspired Control Algorithm. A Vijayan, C Nutakki, D Kumar, K Achuthan, B Nair, S Diwakar Int. J. Online Eng. 13 (1), 61-75 , 2017 2017 Citations: 18
Assessing students and teachers experience on simulation and remote biotechnology virtual labs: A case study with a light microscopy experiment S Diwakar, R Radhamani, H Sasidharakurup, D Kumar, N Nizar, ... International Conference on E-Learning, E-Education, and Online Training, 44-51 , 2015 2015 Citations: 17
Explicit interactions by users form a critical element in virtual labs aiding enhanced education--a case study from biotechnology virtual labs R Radhamani, H Sasidharakurup, D Kumar, N Nizar, B Nair, K Achuthan, ... 2014 IEEE Sixth International Conference on Technology for Education, 110-115 , 2014 2014 Citations: 16
Role of Biotechnology simulation and remotely triggered virtual labs in complementing university education R Radhamani, H Sasidharakurup, D Kumar, N Nizar, K Achuthan, B Nair, ... 2015 International Conference on Interactive Mobile Communication … , 2015 2015 Citations: 15
Computational analysis of cortical EEG biosignals and neural dynamics underlying an integrated mind-body relaxation technique R Radhamani, N Nizar, D Kumar, GS Pillai, LS Prasad, SS Jitha, ... Procedia Computer Science 171, 341-349 , 2020 2020 Citations: 14
Using learning theory for assessing effectiveness of laboratory education delivered via a web-based platform S Diwakar, R Radhamani, N Nizar, D Kumar, B Nair, K Achuthan International Conference on Remote Engineering and Virtual Instrumentation … , 2018 2018 Citations: 10
Mobile learning and biotechnology education via remote labs: Deployment-based study on real time shared resources D Kumar, H Sasidharakurup, R Radhamani, N Nizar, K Achuthan, B Nair, ... 2015 International Conference on Interactive Mobile Communication … , 2015 2015 Citations: 10
Computational exploration of neural dynamics underlying music cues among trained and amateur subjects AK Santhosh, M Sangilirajan, N Nizar, R Radhamani, D Kumar, S Bodda, ... Procedia Computer Science 171, 1839-1847 , 2020 2020 Citations: 8
Experimental recording and computational analysis of EEG signals for a squeeze task: assessments and impacts for applications M Krishnan, L Edison, R Radhamani, N Nizar, D Kumar, M Nair, B Nair, ... 2018 International Conference on Advances in Computing, Communications and … , 2018 2018 Citations: 7
Online bio-robotics labs: Open hardware models and architecture D Kumar, K Achuthan, B Nair, S Diwakar 2016 International Conference on Robotics and Automation for Humanitarian … , 2016 2016 Citations: 7
Implementing a web-based simulator with explicit neuron and synapse models to aid experimental neuroscience and theoretical biophysics education A Sridharan, H Sasidharakurup, D Kumar, N Nizar, B Nair, K Achuthan, ... Proceedings of the International Conference on Signal, Networks, Computing … , 2016 2016 Citations: 7
Low cost neuro-inspired robots for sustainable laboratory education R Radhamani, N Nizar, D Kumar, B Nair, K Achuthan, S Diwakar 2016 International Conference on Robotics and Automation for Humanitarian … , 2016 2016 Citations: 6
Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function D Kumar, AC Puthanveedu, K Mohan, LA Priya, A Rajeev, AC Harisudhan, ... Cybernetics, Cognition and Machine Learning Applications: Proceedings of … , 2021 2021 Citations: 2
