Shyam Diwakar

According to our database1, Shyam Diwakar authored at least 62 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Computational modelling of cerebellum granule neuron temporal responses for auditory and visual stimuli.
Int. J. Adv. Intell. Paradigms, 2021

What virtual laboratory usage tells us about laboratory skill education pre- and post-COVID-19: Focus on usage, behavior, intention and adoption.
Educ. Inf. Technol., 2021

2020
Adoption of Virtual Laboratories in India, Learning Assessments and Roles of ICT Skill Learning Tools.
Proceedings of the Encyclopedia of Education and Information Technologies, 2020

Innovation Adoption and Diffusion of Virtual Laboratories.
Int. J. Online Biomed. Eng., 2020

Computational modelling of TNFα related pathways regulated by neuroinflammation, oxidative stress and insulin resistance in neurodegeneration.
Appl. Netw. Sci., 2020

2019
Mining Inter-Relationships in Online Scientific Articles and its Visualization: Natural Language Processing for Systems Biology Modeling.
Int. J. Online Biomed. Eng., 2019

Computational Modelling of TNFα Pathway in Parkinson's Disease - A Systemic Perspective.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
Virtual and remote laboratories augment self learning and interactions: Development, deployment and assessments with direct and online feedback.
PeerJ Prepr., 2018

Temporal constrained objects for modelling neuronal dynamics.
PeerJ Comput. Sci., 2018

Using virtual laboratories in chemistry classrooms as interactive tools towards modifying alternate conceptions in molecular symmetry.
Educ. Inf. Technol., 2018

Using Learning Theory for Assessing Effectiveness of Laboratory Education Delivered via a Web-Based Platform.
Proceedings of the Smart Industry & Smart Education, 2018

Modeling of Glutamate Pathway in Alzheimer's Disease using Biochemical Systems Theory.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Spectral Correlations in Speaker-Listener Behavior During a Focused Duo Conversation using EEG.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Design and Implementation of an Open-Source Browser-based Laboratory Platform for EEG Data Analysis.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Trajectory Tracking using a Bio-inspired Neural Network for a Low-Cost Robotic Articulator.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Virtual Laboratories in Biotechnology are Significant Educational Informatics Tools.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Modeling Nitric Oxide Induced Neural Activity and Neurovascular Coupling in a Cerebellum Circuit.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Reproducing the Firing Properties of a Cerebellum Deep Cerebellar Nucleus with a Multi-Compartmental Morphologically Realistic Biophysical Model.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Torque Analysis of Male-Female Gait and Identification using Machine Learning.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Mathematical Models as Bioscience Educational Informatics Tools.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Experimental Recording and Computational Analysis of EEG signals for a Squeeze Task: Assessments and Impacts for Applications.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Experimental Recording and Assessing Gait Phases Using Mobile Phone Sensors and EEG.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

2017
Enabling a Freely Accessible Open Source Remotely Controlled Robotic Articulator with a Neuro-Inspired Control Algorithm.
Int. J. Online Eng., 2017

Using Theme-based Narrative Construct of Images as Passwords: Implementation and Assessment of Remembered Sequences.
Int. J. Online Eng., 2017

Augmented reflective learning and knowledge retention perceived among students in classrooms involving virtual laboratories.
Educ. Inf. Technol., 2017

Comparing robotic control using a spiking model of cerebellar network and a gain adapting forward-inverse model.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Computational modelling of apoptosis in parkinson's disease using biochemical systems theory.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Computational neuroscience of substantia nigra circuit and dopamine modulation during parkinson's disease.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Classifying gait features for stance and swing using machine learning.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Implementation of analog electrical neurons as virtual labs for neuroscience education.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Information theoretic visualization of spiking neural networks.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Assessing short-term social media marketing outreach of a healthcare organization using machine learning.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Modeling population network activity using lfpsim, spiking neurons and neural mass models.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

An open-source computational neuroscience virtual laboratory tool for simulating spiking neurons and circuits.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

2016
Complementing Education via Virtual Labs: Implementation and Deployment of Remote Laboratories and Usage Analysis in South Indian Villages.
Int. J. Online Eng., 2016

Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim.
Frontiers Comput. Neurosci., 2016

Computational reconstruction of fMRI-BOLD from neural activity.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

Modeling basal ganglia microcircuits using spiking neurons.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

Computational characterization of cerebellum granule neuron responses to auditory and visual inputs.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

Computing LFP from biophysical models of neurons and neural microcircuits.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015
Using Virtual Laboratories as Interactive Textbooks: Studies on Blended Learning in Biotechnology Classrooms.
EAI Endorsed Trans. e Learn., 2015

Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Reconstructing fMRI BOLD signals arising from cerebellar granule neurons - comparing GLM and balloon models.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Modeling pattern abstraction in cerebellum and estimation of optimal storage capacity.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

Classification and clustering for neuroinformatics: Assessing the efficacy on reverse-mapped NeuroNLP data using standard ML techniques.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

Spike encoding for pattern recognition: Comparing cerebellum granular layer encoding and BSA algorithms.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

Assessing Students and Teachers Experience on Simulation and Remote Biotechnology Virtual Labs: A Case Study with a Light Microscopy Experiment.
Proceedings of the E-Learning, E-Education, and Online Training, 2015

2014
The VLAB OER Experience: Modeling Potential-Adopter Student Acceptance.
IEEE Trans. Educ., 2014

Explicit Interactions by Users Form a Critical Element in Virtual Labs Aiding Enhanced Education - A Case Study from Biotechnology Virtual Labs.
Proceedings of the Sixth IEEE International Conference on Technology for Education, 2014

Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Theme Interception Sequence Learning: Deflecting Rubber-Hose Attacks Using Implicit Learning.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

Virtual Labs Improve Student's Performance in a Classroom.
Proceedings of the E-Learning, E-Education, and Online Training, 2014

GPGPU Implementation of a Spiking Neuronal Circuit Performing Sparse Recoding.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2012
Modeling Spike-Train Processing in the Cerebellum Granular Layer and Changes in Plasticity Reveal Single Neuron Effects in Neural Ensembles.
Comput. Intell. Neurosci., 2012

2011
The VALUE @ Amrita Virtual Labs Project: Using Web Technology to Provide Virtual Laboratory Access to Students.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2011

Taking Project Tiger to the Classroom: A Virtual Lab Case Study.
Proceedings of the Advances in Computing and Communications, 2011

2010
Biotechnology Virtual Labs - Integrating Wet-lab Techniques and Theoretical Learning for Enhanced Learning at Universities.
Proceedings of the International Conference on Data Storage and Data Engineering, 2010

Reconstructing extracellular local field potential in cerebellar granular layer networks.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Modeling cerebellar granular layer excitability and combinatorial computation with spikes.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Characterizing information transmission in cerebellar granule neuron.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Action potential and bursting phenomena using analog electrical neuron.
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, 2010

Information processing via post-synaptic EPSP-spike complex and model-based predictions of induced changes during plasticity in cerebellar granular neuron.
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, 2010


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