̱ Cognitive Neuroscience Lab BITS Goa Bitscogneuro

Cognitive Neuroscience at BITS Goa

Dedicated to Progress
A Cognitive Neuroscience Lab of Birla Institute Of Technology And Science,Goa, India

iBRAIN Project Home Page

Get access to published Resources

Publications

Geodesic EEG System 400

32 channel Geodesic EEG monitoring and amplification.

Workstation

Data processing in Geodesic EEG netstation plus Workstation.

Scholars

Research scholars and undergraduates for assistance.

Isolation

Isolated chamber for reduced noise in data acquisition.

Epoc

Auto-Epoch detection and Institutional licenced MATLAB for signal postprocessing.

Emotiv EPOC+

A revolutionary Neuroheadset and Scientific Contextual EEG offering high resolution and full spatial resolution.

Stanley B. Prusiner

Neuroscience is by far the most exciting branch of science because the brain is the most fascinating object in the universe. Every human brain is different - the brain makes each human unique and defines who he or she is.

Michio Kaku

The human brain has 100 billion neurons, each neuron connected to 10 thousand other neurons. Sitting on your shoulders is the most complicated object in the known universe.

Neil deGrasse Tyson

Everything we do, every thought we've ever had, is produced by the human brain. But exactly how it operates remains one of the biggest unsolved mysteries, and it seems the more we probe its secrets, the more surprises we find.

TEAM

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Dr.Veeky Baths

Ph.D.

Department of Biological Sciences Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

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Yesoda Bhargava

Research Fellow

Department of Biological Sciences, Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

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Garima Saini

Research Fellow

Department of Biological Sciences, Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

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Mayur Jartarkar

Postgraduate

Department of Biological Sciences Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

ALUMNI

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Pranav Mahajan

DPhil Student

Nuffield Department of Clinical Neurosciences
University of Oxford
England

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Ajay Subramanian

PhD Student

Cognition and Perception
Department of Psychology
New York University
USA

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Gautam

Post Graduate

Department of Biological Sciences Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

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Subrat Pathak

Undergraduate

Department of Biological Sciences Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

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Smit Rajguru

Undergraduate

Department of E & I
Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

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T. Sai Ruthvik

Graduate

Department of E & I
Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

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Advait Balaji

Graduate

Department of Biological Sciences
Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

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Amey Desai

Graduate

Department of Electronics
Birla Institute of Technology and Science Pilani, K K Birla Goa Campus.

Ongoing Research

HA

Home Automation

The aim is to present a novel brain computer interface based home automation system using two responses - Steady State Visually Evoked Potential (SSVEP) and the eyeblink artifact, augmented by a Bluetooth based indoor localization system, to greatly increase the number of controllable devices. We have successfully implemented an IOT system that showcases device control using EEG. We have also implemented electric wheelchair control using SSVEP and eye blinks for quadraplegic patients.
ND

Neuro-
degeneration

Ever wonder how millions of neurons work together when you indulge into an ice cream? Right now you might be recollecting the most recent time you had an ice cream. The brain is a brilliant piece of machinery and when it doesn't work like, as a well-oiled machine should, its utter chaos. My research focus is to find out how the machine starts to decrease in its functional efficiency under neurodegenerative diseases by utilizing graph theory and signal processing techniques
NM

Neuromarketing Techniques

The Human Decision Making process is driven by two Systems, a Sub-conscious System which is driven by emotion resulting in people taking instant decisions and a Conscious System which is driven by reason & deliberation leading to a significant delay in Decision making. The Sub-Conscious System accounts for about 95% of daily decisions. Neuromarketing aims at understanding better the Sub-Conscious System with the aid of Neurological tools and Brain Response measuring technologies like ElectroEncephaloGraph (EEG) and use this knowledge to improve consumer experience of the product.

Peer-reviewed publications

  1. Decoding the neural signatures of valence and arousal from portable EEG headset. Garg R, Anand A and Baths V (2022) Front. Hum. Neurosci. 16:1051463. doi: 10.3389/fnhum.2022.1051463. Link

  2. Diagnosis of Breast Cancer Using Random Forests. M Minnoor, V Baths (2023) Procedia Computer Science, 218, 429-437. Link

  3. Reinforcement learning and its connections with neuroscience and psychology Ajay Subramanian Sharad Chitlangia Veeky Baths (2022) Neural Networks, Volume 145, Pages 271-287. Link

  4. Tracking the Progression & Influence of Beta-Amyloid Plaques Using Percolation Centrality and Collective Influence Algorithm: A Study using PET images. Gautam Kumar Baboo, Raghav Prasad, Pranav Mahajan, Veeky Baths (2022) Annals of Neurosciences. Link

  5. Comparative Study of Neural Networks (G/C/RNN) and Traditional Machine Learning Models on EEG Datasets Baboo, G.K., Dubey, S., Baths, V. (2023) Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology. Springer, Singapore. Link

  6. Using Event-Related Potentials (ERP) to identify the purchase intention of a consumer for familiar brands. Jartarkar, M., Srivastava, K. and Baths, V. (2022) Neuroscience Research Notes, 5(4), p. 163. doi: 10.31117/neuroscirn.v5i4.163. Link

  7. Technology for dementia care: benefits, opportunities and concerns. Bhargava Y, Baths V. (2022) Journal of Global Health Reports ;6:e2022056. doi:10.29392/001c.39606. Link

  8. ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease. Yash Kumar,Piyush Maheshwari, Shreyansh Joshi, Veeky Baths. (2022) Proceedings of the 8th International Conference on Computing and Artificial Intelligence. Link

  9. Liver Disease Diagnosis Using Machine Learning M. Minnoor and V. Baths. (2022) IEEE World Conference on Applied Intelligence and Computing (AIC). Link

  10. Novel EEG Features for Consumer Emotion Prediction using Correlation-Based Subset Selection. Mayur Jartarkar, Ashish Sinha, Riddhesh Sawant,Mahak Kothari Veeky Baths. (2022) IMX ’22 - Emotion, Portugal. ACM International Conference on Interactive Media Experiences. Link

  11. Vyakarana: A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages R Patil, J Dhillon, S Mahurkar, S Kulkarni, M Malhotra, V Baths. (2021) Multilingual Representation Learning workshop (EMNLP 2021). Link

  12. Acoustic and Language Based Deep Learning Approaches for Alzheimer's Dementia Detection From Spontaneous Speech. Mahajan P and Baths V. (2021) Front. Aging Neurosci. 13:623607. doi: 10.3389/fnagi.2021.623607. Link

  13. A Novel Approach to Learning Models on EEG Data Using Graph Theory Features—A Comparative Study. Bhargav Prakash, Gautam Kumar Baboo and Veeky Baths. (2021) Big Data Cogn. Comput. 5(3), 39. Link

  14. Alzheimer’s Dementia Detection Using Acoustic & Linguistic Features and Pre-trained BERT. A. Valsaraj, I. Madala, N. Garg and V. Baths. (2021) 8th International Conference on Soft Computing & Machine Intelligence (ISCMI),pp. 171-175, doi: 10.1109/ISCMI53840.2021.9654804. Link

  15. Using Diachronic Distributed Word Representations as Models of Lexical Development in Children. A Gupta, R Patil, V Baths. (2021) arXiv preprint arXiv:2105.05091. Link

  16. Recognizing Music Mood and Theme Using Convolutional Neural Networks and Attention Alish Dipani, Gaurav Iyer, Veeky Baths. (2021) MediaEval’20. Link

  17. BCI Controlled Quadcopter Using SVM and Recursive LSE Implemented on ROS. K. Chhabra, P. Mathur and V. Baths. (2020) IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, 2020, pp. 4250-4255. Link

  18. Modelling Causal Reasoning in Language with Multi-Head Self-AttentionWeights based Counterfactual Detection. R.Patil, V.Baths. (2020) Proceedings of the 14th International Workshop on Semantic Evaluation, pages 451–457. Link

  19. Motor Imagery Based Multimodal Biometric User Authentication System Using EEG. A. Valsaraj, I. Madala, N. Garg, M. Patil and V. Baths. (2020) International Conference on Cyberworlds (CW). Link

  20. Study of motor imagery for multiclass brain system interface with a special focus in the same limb movement. Mohit Patil, Nikhil Garg, Lizy Kanungo, Veeky Baths. (2019) IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing. Link

  21. Multicollinearity Analysis for Cuffless Blood Pressure Estimation Regression Algorithms. P Mehra, R Gupta, A Mahajan, V Baths. (2019) ACM 4th International Conference on Biomedical Imaging, Signal Processing Pages 89–93. Link

  22. AES: Automated Evaluation Systems for Computer Programing Course. Shivam, Nilanjana Goswami, Veeky Baths, Soumyadip Bandyopadhyay. (2019) Proceedings of the 14th International Conference on Software Technologies (ICSOFT) 508-513, 2019 , Prague, Czech Republic. Link

  23. Mathematical modeling and dynamics of tuberculosis infection among diabetic patients in India. Merina Dhara,Veeky Baths and P. Danumjaya. (2018) The Journal of Analysis. Link

  24. EEG-based Classification of Bilingual Unspoken Speech using ANN. Advait Balaji, Aparajita Haldar, Keshav Patil, T Sai Ruthvik, Valliappan CA, Mayur Jartarkar,and Veeky Baths. (2017) 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC'17). Link

  25. A Portable Real Time ECG Device for Arrhythmia Detection Using Raspberry Pi. C A, Valliappan, Thandayam, Sai Ruthvik, Balaji, Advait ,Dhingra, Piyush ,Baths, Veeky.(2017) Lecture Notes in Computer Science,Volume 192 of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering series: MOBIHEALTH 2016. LNICST 192, pp. 1–8. Link

  26. Comparative Study of Classification Techniques (SVM, Logistic Regression and Neural Networks) to Predict the Prevalence of Heart Disease. Divyansh Khanna, Rohan Sahu, Veeky Baths, and Bharat Deshpande. (2015) International Journal of Machine Learning and Computing, Vol. 5, No. 5. Link

  27. Home Automation Using SSVEP & Eye-Blink Detection Based Brain-Computer Interface. Kratarth Goel, Raunaq Vohra, Anant Kamath, and Veeky Baths. (2014) IEEE International Conference on Systems, Man, and Cybernetics San Diego, CA, USA. Link

  28. Disruption of cell wall fatty acid biosynthesis in Mycobacterium tuberculosis using a graph theoretic approach. Veeky Baths, Utpal Roy and Tarkeshwar Singh. (2011) Theoretical Biology and Medical Modelling, 8:5. Link

  29. Identification of distant coevolving residues in Antigen 85C from Mycobacterium tuberculosis using statistical coupling analysis of esterase family proteins. Veeky Baths, Utpal Roy. (2011) Journal of Biomedical Research, 25(3): 1-5. Link

Posters accepted in National/International Conferences

  1. Multilingual Classification of unspoken Speech. Advait Balaji, Aparajita Haldar, Keshav Patil, T Sai Ruthvik, Valliappan CA, Mayur Jartarkar,and Veeky Baths. (2017) AttLis 2017:“Attentive Listener in the Visual World”,International workshop, BITS Pilani K K Birla Goa Campus.

  2. A Recipe to Understand Music: An EEG Approach to Study the Music Preference of Individuals. Young Researchers’ Conference in Cognitive Science. (2016) University of Hyderabad.

  3. Game theory, Mycobacteria and human being: Conflict of interest. Veeky Baths and Utpal Roy. (2011) National Conference on “Contemporary Trends in Biological and Pharmaceutical Research” (CTBPR-2011)

  4. Graph theory and Metobolomics. Veeky Baths and Utpal Roy. (2009) National Conference on Emerging Trends in Life Sciences Research.

  5. Statistical Coupling Analysis of Esterase family proteins for Identification of Distant Coevolving Residues in Antigen 85C from Mycobacterium tuberculosis. Veeky Baths and Utpal Roy. (2010) International Conference on Antimicrobial Research” (ICAR2010).

Book Chapters

  1. Graph theoretic concepts in the study of biological networks. M. Indhumathy, S. Arumugam, Veeky Baths and Tarkeshwar Singh. (2016) Applied Analysis in Biological and Physical Sciences, Springer Proceedings in Mathematics & Statistics 186, 187-200.

  2. Novel Intervention Strategy against Tuberculosis: Insights from Graph Theory and Systems Biology. M Minnoor, V Baths (2023) Procedia Computer Science, 218, 429-437.

  3. Diagnosis of Breast Cancer Using Random Forests. Veeky Baths and Utpal Roy. (2011) Science against microbial pathogens: communicating current research and technological advances, Formatex Research Center, Spain.

  4. Sequence analysis of Mycobacterial PE/PPE Proteins. Baths, V. & Roy, U.(2013) Tuberculosis – A Comprehensive Clinical Reference. ISBN: iConcept Press.

Patents

  1. Patent Application No- 2643/DEL/2014 for "A system and method for controlling a plurality of household appliances".

Erasmus+ iBrain Project

The iBrain Project at BITS Pilani, K K Birla Goa Campus is sponsored by Erasmus+ and is being carried out jointly with 5 other universities in European Union and Russia.For more details visit. http://ibrain.eu/en

iBrain Project Resources

1. Introduction to Cognitive Neuroscience  Course Handout
2. Computational Neuroscience - Reading Course

Course Handout

Resource Video Link 1

Resource Video Link 2

Resource Video Link 3

Resource Video Link 4

Resource Video Link 5

Resource Video Link 6
3. Theoretical Neuroscience

Course Handout
4. AI Neuroscience Journal Club

Resource Video Link 1

Resource Video Link 2

Resource Video Link 3

Resource Video Link 4
5. 34th Annual Meeting of the Society for Neurochemistry (SNCI-2020)

Brochure
6. Round Table Track: Data Issues In Cognitive Neuroscience

Website