Miss Ankita Kaur Nagpal


University position

MPhil student
Supervised by George Malliaras

Departments

Department of Physiology, Development and Neuroscience

Email

akn35@cam.ac.uk

Home page

https://bioelectronics.eng.cam.ac.uk/

Research Theme

Systems and Computational Neuroscience

Interests

Implantable neural interfaces offer the potential to record large amounts of electrophysiological neural recordings which drive body activity. However, for these recordings to be of use in research or for the delivery of therapies, they must be extensively filtered, processed, and correlated with body activity. This project will involve the development of a MATLAB toolbox for the processing of electrophysiological recordings gathered from implantable neural interfaces. The toolbox will build upon existing filtering and processing software tools used in the field of electrophysiology, and will adapt these for use with the implantable technologies developed in the Malliaras Bioelectronics lab.

Research Focus

Keywords

MATLAB

electrophysiology

toolbox

neural

interface

Clinical conditions

Epilepsy

Movement disorders

Paralysis

Spinal cord injury

Traumatic brain injury

Equipment

Behavioural analysis

Electrophysiological recording techniques

MATLAB

Collaborators

Cambridge

Alejandro Carnicer-Lombarte

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