NEURAL CODING IN THE AUDITORY SYSTEM
My broad research interest is in systems neuroscience. I want to understand how neurons process information from the periphery to higher areas of the cortex.
I am intrigued by the fact that the brain can generate highly reproducible responses to changes in the external environment indicating a very reliable sensory pathway. At cellular level, sensory information present in stimuli are transformed into the timing and pattern of neural spikes. Neurons represent and process that information very faithfully even though the responses of individual neuron are very noisy. I am working to understand how sensory neurons generate a faithful representation of the stimuli and how the information is encoded at the neuronal level. The techniques I use are mainly in vivo electrophysiology and computational modelling.
I am working on models of neural responses which are tested using the principles of artificial neural networks having biologically realistic properties. One of the benefits of these types of models is that the circuits in the brain can be compared to an artificial network using simple parameters underlying biological properties of neurons. This allows to infer the parameters, and in turn, the model from experimental data. My work has the potential to be applied in artificial intelligence, voice recognition and face recognition.
Currently I am a Doctoral student in the Oxford Auditory Neuroscience Group (OANG) working under the joint supervision of Dr Nicol Harper, Dr Ben Willmore and Professor Andrew King. I did my BSc in Genetic Engineering and Biotechnology in the University of Dhaka. While doing BSc, I developed expertise in computational biology and bioinformatics which helped me pursue a career in computational neuroscience. Before starting DPhil, I did MSc in Neuroscince in the University of Oxford. During the MSc, I worked with my current supervisors in the OANG to build dynamic models for the prediction of neural responses in the auditory cortex. I also worked with Dr Tommas Ellender studying the role of progenitor origin in the development of the striatum.
Two highly similar LAEDDTNAQKT and LTDKIGTEI epitopes in G glycoprotein may be useful for effective epitope based vaccine design against pathogenic Henipavirus.
Parvege MM. et al, (2016), Comput Biol Chem, 61, 270 - 280