The Undergraduate Training in Theory and Computation for Next Generation Neuroscientists provides students with an introduction to research in Computational Neuroscience.
To understand the function and dysfunction of the brain, it is necessary to confront its complexity. Over the past two decades, the field of neuroscience has leveraged tremendous advances in electronics, genetics, and microscopy to collect a bewildering amount of neuronal data, especially when compared to the state of the field at the turn of the last century. More than ever, these datasets require sophisticated analysis techniques to expose the salient aspects of brain dynamics and computation.
Of equal importance is building a coherent theory of brain function. Theory can both organize these datasets under a conceptual umbrella as well as suggest the next series of experiments to be performed. These realities require more neuroscience researchers to be trained in a variety of computational and mathematical techniques.
THE PROGRAM
In this program, undergraduate students in their first, second, or third years will engage in a funded computational neuroscience research project over a full year. They will work under the guidance of a selected faculty member from the Neuroscience department, concluding their project with an oral presentation. Throughout the program, students will attend faculty seminars and lab visits covering a diverse range of neuroscience research topics.
Students will also complete two quarter-long courses in quantitative methods during the regular academic year.
List of approved courses
BIOS 26210: Mathematical Methods for Biological Sciences I
BIOS 26211: Mathematical Methods for Biological Sciences II
CMSC 25300: Mathematical Foundations of Machine Learning
DATA 21100: Mathematical Methods for Data Science I
DATA 21200: Mathematical Methods for Data Science II
DATA 21300: Models in Data Science
NSCI 21820: Introduction to Python for Neuroscientists & Biologists
NSCI 22950: Computational Modeling of Biological Brain Circuits
NSCI 24000: Modelling and Signal Analysis for Neuroscientists
STAT 23400: Statistical Models and Methods
STAT 24300: Numerical Linear Algebra
STAT 24400: Statistical Theory and Methods I
STAT 24500: Statistical Theory and Methods II
STAT 27410: Introduction to Bayesian Data Analysis
*Students must submit their proposed course list to neurotheory@uchicago.edu for approval.
‡Students interested in enrolling in other advanced computational courses may request approval from the Director of the Undergraduate Major.
ELIGIBILITY
Nominees do not need to be Neuroscience majors, but they must be actively involved in computational neuroscience research. To be eligible, students must commit to conducting research in the Autumn, Winter, Spring, and Summer quarters.
This NIH-funded training program offers a stipend for part-time research during Autumn, Winter, and Spring, and a stipend for full-time research in the Summer. In their final program quarter, students are required to deliver a 20-minute research talk.
DATES
The program can run from Summer to Spring, or from Autumn to Summer.
HOW TO APPLY?
Faculty members are responsible for submitting student applications, and undergraduate students interested in joining the program should contact one of the TPCN Training faculty members listed below directly.
- Students must complete an Application form and submit it to their faculty mentor for review.
- Faculty should submit the student’s completed Application form, as well as a Faculty Nomination Form, to Neurotheory by the application deadline.
The deadline for applications is APRIL 1ST, 2025.
Questions? Contact us at neurotheory@uchicago.edu.
PARTICIPATING FACULTY MEMBERS
Edward Awh, PhD | Department: Psychology | awh@uchicago.edu
Research interest: Interactions between visual working memory and selective attention using psychophysical and electrophysiological methods.
Marlene Cohen, PhD | Department: Neurobiology | marlenecohen@uchicago.edu
Research interest: Neural basis of vision and cognition.
Brent Doiron, PhD | Department: Neurobiology and Statistics | bdoiron@uchicago.edu
Research interest: Nonlinear dynamics and statistical mechanics, with an emphasis on the genesis and transfer of variability in neural circuits.
Ruth Anne Eatock, PhD | Department: Neurobiology | eatock@uchicago.edu
Research interest: Sensory transduction and encoding.
David Freedman, PhD | Department: Neurobiology | dfreedman@uchicago.edu
Research interest: Decision Making, Categorization, Artificial Intelligence, Visual Recognition.
Melina Hale, PhD | Department: Organismal Biology & Anatomy | mhale@uchicago.edu
Research interest: Integrating biomechanics and neurobiology to study how axial movements in fish are generated and coordinated to respond to the physical properties of an organism's environment.
Christian Hansel, PhD | Department: Neurobiology | chansel@bsd.uchicago.edu
Research interest: The study of cellular correlates of learning and memory in neural circuits.
Nicholas Hatsopoulos, PhD | Department: Organismal Biology & Anatomy | nicho@uchicago.edu
Research interest: The cortical basis of complex motor control. of the upper limb and, more recently, of the orofacial system.
Elizabeth Heckscher, PhD | Department: Molecular Genetics & Cell Biology | heckscher@uchicago.edu
Research interest: Development, function, and evolution of motor circuits.
Jorge Jaramillo, PhD | Department: Neurobiology | jorgejaramillo@uchicago.edu
Research interest: How subcortical structures interact with cortical circuits to subserve cognitive processes such as memory, attention, and decision-making.
Narayanan "Bobby" Kasthuri, MD, PhD | Department: Neurobiology | bobbykasthuri@uchicago.edu
Research interest: Large-volume reconstructions of the fine structure of the nervous system.
Matthew Kaufman, PhD | Department: Organismal Biology & Anatomy | mattkaufman@uchicago.edu
Research interest: Intersection of systems and computational neuroscience to understand how neurons work together to implement computations relevant to motor control and decision-making.
Leslie Kay, PhD | Department: Psychology | lkay@uchicago.edu
Research interest: Olfaction and Computation.
Paschalis Kratsios, PhD | Department: Neurobiology | pkratsios@uchicago.edu
Research interest: Molecular mechanisms of motor neuron development and degeneration.
Yamuna Krishnan, PhD | Department: Chemistry | yamuna@uchicago.edu
Research interest: Nucleic acid-based Molecular Devices.
Peter Littlewood, PhD | Department: Physics | littlewood@uchicago.edu
Research interest: Statistical methods applied to neural systems.
Jason MacLean, PhD | Department: Neurobiology | jmaclean@uchicago.edu
Research interest: How to quantitatively describe the structure and function of active local neocortical microcircuits in motor and visual cortex in mice.
Daniel Margoliash, PhD | Department: Organismal Biology & Anatomy | dan1@uchicago.edu
Research interest: Behavior, neural circuits, and cellular properties involved in sensorimotor learning and memory in singing and sleeping songbirds.
John Maunsell, PhD | Department: Neurobiology | maunsell@uchicago.edu
Research interest: How neuronal signals in the visual cerebral cortex generate perceptions and guide behavior.
Ramon Nogueira, PhD | Department: Neurobiology | rnogueira@uchicago.edu
Research interest: The role of noise in representational geometry and behavior.
Anne-Marie Oswald, PhD | Department: Neurobiology | amoswald@uchicago.edu
Research interest: Structure and function of cortical circuits in olfaction.
Stephanie Palmer, PhD | Department: Organismal Biology & Anatomy | sepalmer@uchicago.edu
Research interest: Computational properties of the cortex in making predictions in motor control.
Monica Rosenberg, PhD | Department: Psychology | mdrosenberg@uchicago.edu
Research interest: How we pay attention and how insights from attention research can help improve focus.
Mark Sheffield, PhD | Department: Neurobiology | sheffield@uchicago.edu
Research interest: Neurobiology of complex memory formation and recall, from the level of synapses and dendrites to large-scale ensembles of neurons.
Murray Sherman, PhD | Department: Neurobiology | msherman@bsd.uchicago.edu
Research interest: Thalamic functional organization and thalamocortical relationships.
Wim Van Drongelen, PhD | Department: Pediatrics | wvandron@uchicago.edu
Research interest: Analyzing and modeling neuronal systems, and associated clinical applications.
Vincenzo Vitelli, PhD | Department: Physics | vitelli@uchicago.edu
Research interest: Condensed matter theory, broadly defined.
Edward Vogel, PhD | Department: Psychology | edvogel@uchicago.edu
Research interest: Neural mechanisms of Attention and Memory.
Joel Voss, PhD | Department: Neurology | joelvoss@uchicago.edu
Research interest: Cognitive neuroscience of episodic memory.
Wei Wei, PhD | Department: Neurobiology | weiw@uchicago.edu
Research interest: Synaptic basis of neural computation in the retina.
Rebecca Willett, PhD | Department: Statistics | willett@uchicago.edu
Research interest: Mathematical foundations of machine learning, large-scale data science, and computational imaging.
Jai Yu, PhD | Department: Psychology | jaiyu@uchicago.edu
Research interest: Memory and knowledge; large-scale microelectrode neural activity recording across multiple brain regions.