Members

MA, Philosophy, 2013
Northern Illinois University | DeKalb, Illinois

BA, Philosophy, 2008
BA, Psychology, 2008
University of Notre Dame | Notre Dame, Indiana

Research Interests

My philosophy dissertation work is on the nature of (dis)value and morality and how that interacts with the nature of suffering; my main interests are in metaethics and the philosophy of language and mind. In cognitive science, my hope is to get as clear as possible on the nature of suffering by looking at the interactions between negative affect on the one hand and reward learning and decision-making more broadly on the other.

Contact Information:
Email: lgularte[@]brown.edu
Hometown: Gonzales, CA

Doctoral Candidate
Neuroscience
Brown University
Providence
Rhode Island

MSc
Cognitive and Computational Neuroscience, 2012
University of Sheffield
Sheffiled, United Kingdom.

BEng(Hons) Mechatronics, 2010
University of Mauritius | Mauritius.

Research Interests

Prannath is interested in Theoretical Neuroscience, using the Computational Neuroscience approach. He is working on a collaborative project between the Frank and the Jones labs, trying to combine Dr. Frank’s high cognitive level model of the Basal Ganglia with Dr. Jones’s lower level biophysical model of the thalamocortical loop. They seek to understand how the Basal Ganglia and Thalamocortical loops interact in both healthy and diseased conditions, with a particular focus on Parkinson’s disease.

Contact Information
Email:
[email protected]

BSc. International Business
MSc. Neuroeconomics
MPhil. Statistics

Contact Information
mail: [email protected]
[email protected]

Hometown: Bergheim, Germany

B.A. Physics &
B.A. Mathematics
University of California
Berkeley, California

Research Interests
My research program at Brown revolves around reinforcement learning, computational psychiatry, and network computation. If I have one over-arching goal at the moment, it is to understand how aberrant network function produces changes in psychiatrically relevant processes. Reinforcement learning is a relatively well studied system in which variations in function at multiple levels of analysis are known to produce many interesting effects, and as such constitutes an excellent model system for these types of investigations. That aside, it’s also fascinating in its own right, can be approached normatively, computationally, algorithmically, etc, and has far reaching connections in mathematics, statistics, and physics.

Contact Information
Email: [email protected]
Hometown:
Orinda, CA

MSc. – Psychology, University of Western Ontario | London, ON, CA
BSc. – Psychology | Queen’s University, ON CA

Research Interests:
My undergraduate and masters’ theses focused on the neural correlates of attentional control during auditory and speech perception. My current research interests are broadly about characterizing neural systems that dynamically control decision-making in noisy, unstable environments. In my free time, I like watching films, distance running, batch cooking, and creating or listening to music.
CV
Contact Information:
Email:
[email protected]

Brown Neuroscience 1st year doctoral student
Rotational Student

Education
MS University of Massachusetts, Amherst 2015
BS University of Massachusetts, Amherst 2013

Research Interests
While at Brown, I’d like to analyze the neural underpinnings of risky decision making and reward anticipation. I’m in the midst of determining the best way to accomplish this but I’m hoping to combine behavioral, neural, and computational techniques across species to study the functional circuits responsible for probabilistic decision making.