• This research project seeks to bring together biomass based biochars and hydrochars from rice husk waste product to remove heavy metals and other contaminants from industrial and domestic wastewater that makes its way untreated or only partially treated into rivers and streams.

    an-innovative-green-technology-for-treating-municipal-and-industrial-wastewater-entering-rivers-and-streams
  • This project aims at understanding cognitive functioning of cerebellar input layer and implement signal processing abilities into neural hardware using cerebellar architecture. The main goals include understanding cerebellum granule neuron’s role in signal propagation and information processing in a central neuronal network. The other major focus will be on the analysis of cerebellar microcircuits for designing electronic neural processors.

    bio-inspired-processor-design-for-cognitive-functions-via-detailed-computational-modeling-of-cerebellar-granular-layer
  • This project proposes to develop a cerebellum inspired pattern recognition algorithm for robotic data classification. The project aims to investigate the temporal and spatial dynamics in the cerebellar network models capable of predicting cerebellar input-output transformations by analyzing the mathematical and computational properties of the network. Both labs have been working together since 2004 on cerebellar models.

    cerebellum-inspired-approach-for-pattern-classification-in-robots
  • Investigating the organized activity of neuron ensembles is critical to understand how brain circuits work and is one main target of the project. Reconstruction of network activity has proved to be a hard task. This project will study cellular function using multi-scale models of single cells and networks will be developed with NEURON.

    computational-modelling-and-prediction-of-cerebellar-input-layer-function-timing-and-plasticity-for-understanding-neurophysiological-disorders
  • In contrast to other fields in biology, mathematical thinking and methodology have become entrenched in neuroscience since its very beginning, as witnessed by the classical work of Hodgkin and Huxley. One of the biggest open challenges mathematicians and engineers face is to understand the complex computation that takes place in our brain. Among the most interesting parts of the brain, is the ‘little brain’, otherwise known as the cerebellum.

    computational-neuroscience-and-cognitive-modeling
  • In this project, we will use EEG recordings to control robotic arm by extracting left and right side motor imagery movement patterns. We will develop and use feature extraction methods to extract the required features from the pre-processed signal data.

    designing-a-bmi-based-robotic-arm-using-eeg-and-motor-articulation-control
  • Blood Oxygen Level Dependent (BOLD) signals are the responses of functional magnetic resonance imaging techniques used to understand brain state and function in neurology.

    modeling-fmri-bold-correlates-of-neural-circuit-activity
  • To understand neural circuit computations a different approach is needed: elaborate realistic spiking neural networks of the rat cerebellum and use them, together with the theoretical basis of central network computation. This recognition is the goal of this project. The first goal is to extend the cerebellar models to simulate the ensemble network activity. The second is the implementation in robotic simulators and robots to achieve enhanced motor control capabilities. 

    modelling-the-cerebellar-information-code-in-large-scale-realistic-circuits-towards-pharmacological-predictions-and-robotic-abstractions
  • One main issue for cerebellum-based robotic models is to understand information processing in the cerebellar circuit in order to reproduce artificial networks able to perform analogous tasks in robotic control systems. Critical to this aim is the investigation of timing mechanisms in the cerebellar cortex.

    neurophysiological-recording-and-modeling-fast-response-timing-of-granule-and-golgi-cell-responses-for-cerebellar-function
  • Amrita Virtual Biotechnology laboratory is a new kind of experimental science that is being established as a virtual simulation based laboratory. These labs focus on helping students retain the real feel of a laboratory, while conducting the experiment from an internet-enabled computer terminal, much in the same way as is done, in a real lab.

    virtual-amrita-laboratories-in-biotechnology
  • WeNet will create a platform to enable people to support each other transcending geographical and cultural backgrounds.It is funded by Horizon 2020 (the biggest EU Research and Innovation program) and was launched at the Department of Information Engineering and Computer Science, University of Trento, Italy.

    wenet-the-internet-of-us