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

Google scholar link

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.