Cognitive
Neurophysiology
Lab
Liya Ma
Assistant professor
I did my doctoral studies on neural coding of sequential instrumental actions at the University of British Columbia, with Drs. Jeremy Seamans and Anthony Phillips. With the support of a CIHR Fellowship and BrainsCAN Tier I Fellowship, I studied how frontoparietal cortical activities support cognitive control in the primate brain, with Dr. Stefan Everling at Western University. Supported by a Christine Mohrmann Fellowship, I set up my first lab in the Donders Centre for Neuroscience at Radboud University in the Netherlands to study the neural correlates underlying flexible decision making. Now I continue this line of work in a new world primate model at the Centre for Vision Research, York University in Toronto, Canada. I am a Tier II Canada Research Chair in Cognitive Neurophysiology.
Email: liyama@yorku.ca
Nupur Katyare
Postdoctoral Researcher
I graduated with a Ph.D. in Neuroscience from the Indian Institute of Science, Bangalore, India. I continued research as a postdoctoral scholar at Emory university, Atlanta USA, before joining the current position.
My work, in general, has involved electrophysiology for studying information processing in neurons, mainly related to working memory and decision making, and computational modelling. I am currently pursuing a data analysis project related to population coding. I have varied interests and enjoy interdisciplinary projects.
Francesca Abela
PhD candidate
As a PhD candidate at the Donders Centre for Neuroscience, Radboud University, I am investigating how the value of a choice is represented and flexibly updated in key brain regions, using a combination of high-density electrophysiological recording, probablistic reversal learning task in mice, and in silico modeling.
Ryley Nathaniel
Summer Research Intern
As a NSERC Award recipient, I am working in the Cognitive Neurophysiology Lab with a previously recorded dataset (previously recorded in the Netherlands by one of Dr. Ma's labs). Said dataset tracked the behaviour of mice during a given win-shift/win-stay task. I am taking these hundreds and thousands of rows of data and performing analyses using Python and MATLAB to ultimately represent findings in a summarized manner. In terms of personal research, I have recently completed an Honours Thesis looking at the effects of music and emotionality on the memory of images. My interests include neuroscience, physiology and medical anthropology.
Mira Bhattacharya
Summer Research Intern
dfdfdfdsfdsfFirst As a PhD candidate at the Donders Centre for Neuroscience, Radboud University, I am investigating how the value of a choice is represented and flexibly updated in kfdfdey brain regions, using a combination of high-density electrophysiological recording, probablistic reversal learning task in mice, and in silico modeling.
Marium Alvi
Master's Student (PSYC)
As a PhD candidate at the Donders Centre for Neuroscience, Radboud University, I am investigating how the value of a choice is represented and flexibly updated in key brain regions, using a combination of high-density electrophysiological recording, probablistic reversal learning task in mice, and in silico modeling.
Yashi Rawat
Master's Student (PSYC)
As a PhD candidate at the Donders Centre for Neuroscience, Radboud University, I am investigating how the value of a choice is represented and flexibly updated in key brain regions, using a combination of high-density electrophysiological recording, probablistic reversal learning task in mice, and in silico modeling.
Nogol Radvar
Research Assistant (BIOL)
As a PhD candidate at the Donders Centre for Neuroscience, Radboud University, I am investigating how the value of a choice is represented and flexibly updated in key brain regions, using a combination of high-density electrophysiological recording, probablistic reversal learning task in mice, and in silico modeling.
Karmen Rai
Research Assistant (SOFT. ENG.)
As a PhD candidate at the Donders Centre for Neuroscience, Radboud University, I am investigating how the value of a choice is represented and flexibly updated in key brain regions, using a combination of high-density electrophysiological recording, probablistic reversal learning task in mice, and in silico modeling.
Shuyuan Lyu
Honours Thesis Student (PSYC)
As a PhD candidate at the Donders Centre for Neuroscience, Radboud University, I am investigating how the value of a choice is represented and flexibly updated in key brain regions, using a combination of high-density electrophysiological recording, probablistic reversal learning task in mice, and in silico modeling.
Eshwaree Mathanki
Research Assistant (COG. SCI.)
As a PhD candidate at the Donders Centre for Neuroscience, Radboud University, I am investigating how the value of a choice is represented and flexibly updated in key brain regions, using a combination of high-density electrophysiological recording, probablistic reversal learning task in mice, and in silico modeling.
Lab Alumni
Yiping Zhang
Postdoctoral researcher
In my doctoral studies with Dr. Tansu Celikel at Donders Centre for Neuroscience at Radboud University, I studied how sensory and motor cortices interact during both passive and active whisker sensing in mice, and how dopamine and serotonin modulate these processes. As a postdoc, I studied how the anterior cingulate cortex and premotor cortex interact to support flexible decision making in rats.
Veedhi Solanki
Research Assistant
I am a 4th year biomedical science student. I analyze neuronal electrophysiological data from animals in phy kilosort. I am also doing literature review on working memory and marmoset behaviour. I am interested in computational approaches to data analysis on how neuronal activity for a behaviour connects with a specific brain regions.
Marium Alvi
Master's Student (Psychology)
As a PhD candidate at the Donders Centre for Neuroscience, Radboud University, I am investigating how the value of a choice is represented and flexibly updated in key brain regions, using a combination of high-density electrophysiological recording, probablistic reversal learning task in mice, and in silico modeling.