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Dr. Arathi G. R.

Assistant Professor, Amrita Mind Brain Center, Amritapuri

Qualification: MSc, Ph.D
arathigr@am.amrita.edu
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Bio Publications Education Affiliations Teaching Research Interest Recognitions Contributions
Bio

Dr. Arathi G. R. is currently working as an Assistant Professor (Level 10) with expertise in computational neuroscience, mathematical modelling, and bioinformatics at the Amrita Mind Brain Center (AMBC). Her research focuses on developing spiking neuron models and digital twin frameworks to understand brain functions, motor control, and dysfunction in conditions such as Ataxia, Parkinson’s disease (PD), and other neurodegenerative disorders.

She has worked as a Research Scientist (2024–2025), where she investigated the integrated dynamics of motor circuits and their roles in both normal and pathological states. Her broader interests include cerebellar learning and biomimetic approaches to neural computation.

She has defended her Ph.D. thesis, titled “Mathematical Modeling of Neuronal Circuit Dynamics and Physiological Functions of Rat Cerebellum and Basal Ganglia”, under the guidance of Dr. Shyam Diwakar (AMBC). In this work, she developed computational frameworks to simulate neuronal circuit dynamics, predict cerebellar and basal ganglia functions, and analyze their roles in sensorimotor control and disease states. Her thesis contributed to understanding how interconnected motor circuits coordinate movement and adapt under dysfunction, providing computational insights into conditions such as Parkinson’s disease, dystonia, and ataxia.

Arathi completed her undergraduate and postgraduate studies in bioinformatics at Mahatma Gandhi University (Kerala) and Amrita Vishwa Vidyapeetham University, respectively. Her undergraduate dissertation focused on “Systems Biology Approaches to the Carbohydrate Metabolism Pathway: Glycolysis”. She also completed a master’s dissertation titled “Estimation of Mutual Information at the Mossy Fiber–Granule Cell Relay”. During this period, she also served as a teaching assistant at the Amrita School of Biotechnology.

Publications

Conference Paper

Year : 2025

An Equivalent Single Spiking Neuron Model of the Working Memory

Cite this Research Publication : Navya Ajith, Arathi Rajendran, Giovanni Naldi, Egidio D'Angelo, Shyam Diwakar, An Equivalent Single Spiking Neuron Model of the Working Memory, 2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI), IEEE, 2025, https://doi.org/10.1109/ic3ecsbhi63591.2025.10991192

Publisher : IEEE

Journal Article

Year : 2021

Computational Modelling of Cerebellum Granule Neuron Temporal Responses for Auditory and Visual Stimuli

Cite this Research Publication : Dr. Bipin G. Nair, Arathi G. Rajendran, Asha Vijayan, Chaitanya Medini, and Dr. Shyam Diwakar, “Computational modelling of cerebellum granule neuron temporal responses for auditory and visual stimuli”, International Journal of Advanced Intelligence Paradigms, vol. Vol.18 No.3, pp.356 - 372, 2021.

Publisher : International Journal of Advanced Intelligence Paradigms.

Year : 2017

Cerebellum in Neurological Disorders: A Review on the Role of Inter-Connected Neural Circuits

Cite this Research Publication : Arathi G. Rajendran, Chaitanya Nutakki, Hemalatha Sasidharakurup, Sandeep Bodda, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Cerebellum in Neurological Disorders: A Review on the Role of Inter-Connected Neural Circuits”, Journal of Neurology and Stroke, vol. 6, pp. 1-4, 2017

Publisher : Journal of Neurology and Stroke.

Book Chapter

Year : 2017

Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions

Cite this Research Publication : Dr. Shyam Diwakar, Chaitanya Nutakki, Sandeep Bodda, Arathi Rajendran, Asha Vijayan, and Dr. Bipin G. Nair, “Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions”, in Mathematical and Theoretical Neuroscience: Cell, Network and Data Analysis, Giovanni Naldi and Nieus, T., Eds. Cham: Springer International Publishing, 2018, pp. 61–85.

Publisher : Mathematical and Theoretical Neuroscience: Cell, Network and Data Analysis, Giovanni Naldi and Nieus, T., Eds. Cham: Springer International Publishing,

Poster

Year : 2015

Analyzing Mutual Information and Synaptic Efficacy at Mossy Fiber –Granule Cell Relay in Rat Cerebellum

Cite this Research Publication : Arathi G. Rajendran, Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Analyzing Mutual Information and Synaptic Efficacy at Mossy Fiber –Granule Cell Relay in Rat Cerebellum”, in Proceedings of the International symposium on Translational Neuroscience & XXXIII Annual Conference of the Indian Academy of Neurosciences, Panjab University, Chandigarh, India, Oct 31-Nov 2, 2015

Publisher : Proceedings of the International symposium on Translational Neuroscience XXXIII Annual Conference of the Indian Academy of Neurosciences

Education
  • BSc. Bioinformatics, MES College for Advanced Studies (MESCAS), Aluva, Ernakulam, Kerala.
  • M.Sc. Bioinformatics, Amrita School of Biotechnology (ASBT), Amritapuri, Kerala.
  • Ph.D in Computational Neuroscience, Amrita Mind Brain Center, Amrita Vishwa Vidyapeetham, Amritapuri.
Affiliations
  • Research Assistant, Virtual lab projects (13/01/2-14- 31-10-2017)
  • Ph.D. research fellow, Amrita Vishwa Vidyapeetham, (01/11/2017-01-01-2019)
  • Ph.D. research fellow, Amrita School of Biotechnology (01/02/2019-31-04-2022)
  • Research Associate, Amrita Mind Brain Center, (01-/05/2022- 30/04/2024)
  • Research Scientist, Amrita Mind Brain Center (01/05/2024-31/08/2025)
Teaching
  • (2016-2018 for MSc. Bioinformatics)- BIF410 Introduction to C programming.
  • (2018-2019 for MSc. Bioinformatics)- BIF489 Perl programming lab.
  • (2025-2026 for B. Tech EAC)- 23ECE101 Nature-inspired engineering.
  • (2025-2026 for B. Tech CSEAI)- 22BIO201 Intelligence of Biological Systems.
Research Interest

Research interests include computational neuroscience, mathematical modelling, bioinformatics, and systems biology. Currently, she is working on the mathematical modeling of learning mechanisms in interconnected motor neuronal systems of the brain, enabling a detailed exploration of learning, development, and memory formation. Dr. Arathi’s long-term goal is to advance computational neurobiology and translational neuroscience by bridging rodent neurorehabilitation data, artificial intelligence, and mathematical models, thereby contributing to both fundamental understanding and therapeutic innovations.

Recognitions

Award

  • Lalitha and RabindraNath Travel Fellowship for attending the IAN (Indian Academy of Neurosciences) 2015 conference held at Punjab University from 31st October to 2nd November 2015.

Membership

  • Life member- Indian Academy of Neurosciences (IAN)

Posters

  1. Analysis and Quantification of Neural Information Processing during Cerebellar Plasticity, International Symposium on Translational Neuroscience and annual conference of Indian Academy of Neuroscience, November 1- 3, 2014, NIMHANS, Bengaluru.
  2. Parallelization of Cerebellar Granular Layer Circuitry Model for Physiological Predictions, International Symposium on Translational Neuroscience and annual conference of Indian Academy of Neuroscience, November 1-3, 2014, NIMHANS, Bengaluru.
  3. Analyzing Mutual Information and Synaptic Efficacy at Mossy Fiber –Granule Cell Relay in Rat Cerebellum, Annual Conference of Indian Academy of Neurosciences, October 31-November 2, 2015, Punjab University, Chandigarh.
  4. Modelling and Parallelization of Cerebellar Microcircuit for Combinatorial Operations, Annual Meeting of Indian Academy of Neurosciences, NBRC, Manesar, 19-21 October 2016.
Contributions

Peer-reviewed Conference Papers

  • N. Ajith, A. Rajendran, G. Naldi, E. D’Angelo, and S. Diwakar, “An Equivalent Single Spiking Neuron Model of the Working Memory,” 2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI), Greater Noida, India, (2025), pp. 570-574.
  • Rajendran, A., Ajith, N., Nambiar, A.C., Naldi, G., Diwakar, S. (2025). Computational Modeling of Spiking in the Layer 5 Projection Neurons of the Mouse Motor Cortex. In: Thampi, S.M., Chaudhary, V., Pathan, A.S.K., Ching Li, K., Krishnaswamy, D. (eds) Fifth International Conference on Computing and Network Communications. CoCoNet 2023. Lecture Notes in Electrical Engineering, vol 1221. Springer, Singapore. https://doi.org/10.1007/978-981-97-4711- 5_2.
  • Dathatreyan, G., Rajendran, A., Naldi, G., & Diwakar, s. (2023, April). Auto-mated Reduction of Detailed Biophysical Cerebellar Neurons to Izhikevich Neurons. In the International Symposium on Intelligent Informatics: Proceedings of ISI 2022 (pp. 109-121). Singapore: Springer Nature Singapore.
  • Rajendran, A., Sargurunathan, N. K., Menon, V. s., Variyath, s., Sai, s. D., & Diwakar, s. (2021). Computational Reconstructions of Extracellular Action Potentials and Local Field Potentials of a Rat Cerebellum Using Point Neurons. In Advances in Computing and Network Communications: Proceedings of CoCoNet 2020, Volume 2 (pp. 3-13). Singapore: Springer Singapore.
  • Sasidharakurup, H., Nutakki, c., Rajendran, A., Venugopal, P., Suman, M., Navaneethkumar, L., … & Diwakar, s. (2018, September). Spectral correlations in speaker-listener behavior during a focused duo conversation using EEG. In the 2018 International Conference on Advances in Computing, Communications, and Informatics (ICACCI) (pp. 2028-2032). IEEE.
  • Rajendran, A., Abdulsalam, A., Mohan, D., Thazhathepurayil, J., Prabhat, s., Nair, B., & Diwakar, s. (2018, September). Trajectory Tracking using a Bio-inspired Neural Network for a Low-Cost Robotic Articulator. In the 2018 International Conference on Advances in Computing, Communications, and Informatics (ICACCI) (pp. 111-115). IEEE.
  • Presannan, A., Rajendran,A., Nair, B., & Diwakar, s. (2018, September). Reproducing the Firing Properties of a Cerebellum Deep Cerebellar Nucleus with a Multi-Compartmental Morphologically Realistic Biophysical Model. In the 2018 International Conference on Advances in Computing, Communications, and Informatics (ICACCI) (pp. 1371-1375). IEEE.
  • Rajendran, A., Thankamani, A., Nirmala, N., Nair, B., & Diwakar, S. (2017, September). Computational neuroscience of the substantia nigra circuit and dopamine modulation during parkinson’s disease. In 2017, the International Conference on Advances in Computing, Communications, and Informatics (ICACCI) (pp. 1-5). IEEE.
  • Medini,C.,Rajendran, A. G., Jijibai,A., Nair, B.,& Diwakar, s. (2016, September). Computational characterization of cerebellum granule neuron responses to auditory and visual inputs. In the 2016 International Conference on Advances in Computing, Communications, and Informatics (ICACCI) (pp. 22-27). IEEE.
  • Nair, M., Madhu, P., Mohan, V., Rajendran, A. G., Nair, B.,& Diwakar, S. (2015, December). GPGPU implementation of information-theoretic algorithms for the analysis of granular layer neurons. In the 2015 International Conference on Computing and Network Communications (CoCoNet) (pp. 18-26). IEEE.

Posters

  • Role of Cerebellum in Autism Spectrum Disorder, 8th Annual Conference of Cognitive Science, January 20-22, 2022, Amrita Vishwa Vidhyapeetham, Kollam.
  • Pattern Abstraction and Sensory Encoding of Auditory and Visual Stimuli in Cerebellum Granular Layer Network, XXXV Annual Meeting of the Indian Academy of Neurosciences, October 29-31, 2017, Ravenshaw University, Cuttack, Odisha.
  • Modelling and Parallelization of Cerebellar Microcircuit for Combinatorial Operations, XXXIV Annual Meeting of the Indian Academy of Neurosciences, October 19-21, 2016. NBRC, Manesar.
  • Analyzing Mutual Information and Synaptic Efficacy at Mossy Fiber Granule Cell Relay in Rat Cerebellum, Annual Conference of the Indian Academy of Neurosciences, October 31-November 2, 2015, Punjab University, Chandigarh.
  • Analysis and Quantification of Neural Information Processing during Cerebellar Plasticity, International symposium on Translational Neuroscience and XXII annual conference of the Indian Academy of Neuroscience, November 1-3, 2014, NIMHANS, Bengaluru.
  • Parallelization of Cerebellar Granular Layer Circuitry Model for Physiological Predictions, International Symposium on Translational Neuroscience and XXII annual conference of the Indian Academy of Neuroscience, November 1-3, 2014, NIMHANS, Bengaluru.
  • Systems Biology Approaches to the Study of Carbohydrate Mechanism, Glycolysis, presented to 150 people at National Seminar on Nano-Biotechnology, Asmabi College, Thrissur, January 2010.
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