Vikram Gadagkar, PhD

  • Assistant Professor of Neuroscience (in the Mortimer B. Zuckerman Mind Brain Behavior Institute)
Profile Headshot


Vikram Gadagkar is an Assistant Professor in the Department of Neuroscience and a Principal Investigator in the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University. Vikram received his BS in physics, chemistry, and mathematics from Bangalore University, MS in physics (working with Prof. Ajay Sood) from the Indian Institute of Science, and PhD in physics (working with Prof. Séamus Davis) from Cornell University. He then received his postdoctoral training with Prof. Jesse Goldberg at the Department of Neurobiology and Behavior, Cornell University, where he discovered that midbrain dopamine neurons encode performance error in singing birds.

Vikram joined Columbia University in May 2020.

Academic Appointments

  • Assistant Professor of Neuroscience (in the Mortimer B. Zuckerman Mind Brain Behavior Institute)


  • Male

Credentials & Experience

Education & Training

  • BSc, 2002 Physics, Chemistry, Mathematics, St. Joseph's College, Bangalore University, India
  • MS, 2005 Physics , Indian Institute of Science (India)
  • PhD, 2013 Physics, Cornell University

Honors & Awards

  • 2018 Peter and Patricia Gruber International Research Award (Society for Neuroscience)
  • 2017 K99/R00 Pathway to Independence Award (NIH/NINDS)
  • 2016 Simons Collaboration on the Global Brain (SCGB) Postdoctoral Fellowship


A major goal of neuroscience is to understand how the brain produces behavior. But to produce complex learned behavior, the brain first needs to evaluate behavior. The central question that drives the Gadagkar Lab is: How do brains evaluate behaviors - both self-generated and the behaviors of others? Many of our socially relevant motor skills such as speaking or playing a musical instrument are not innately programmed but are acquired and maintained through a process of trial and error or reinforcement. First, during the practice phase, these complex motor sequences are learned by matching exploratory motor output to internal goals or templates. Second, these newly acquired sequences are performed to a socially significant target audience in a highly stereotyped manner. Third, the audience evaluates the performance, shows a preference for certain features like stereotypy and virtuosity, and provides feedback to the performer. These three stages of practice, performance, and preference serve the goal of learning motor skills critical for social life, yet we understand very little about the neural mechanisms underlying these processes.

The songbird, with its highly tractable song circuit, is an excellent model system to address this problem. The adult zebra finch song is a learned, stereotyped motor sequence, and juvenile finches learn to imitate their tutor’s song (the internal goal) by trial and error. Furthermore, male songbirds ‘practice’ their songs alone with the ultimate goal of ‘performing’ to a female. Female finches evaluate male songs directed at them and show a ‘preference’ for the most stereotyped and attractive songs. The goal of the Gadagkar Lab is to combine the advantages of the zebra finch courtship song system with state-of-the-art computational, theoretical, and experimental techniques to study how the brain implements reinforcement learning through the stages of practice, performance, and preference. Some of the questions we are currently investigating are: 1. What is the role of reinforcement during early critical periods of sensorimotor learning? 2. How does the brain switch between a state optimized for variability and learning to a state optimized for stereotypy and performance? 3. What are the neural mechanisms of female mate choice?

Research Interests

  • Cognitive/Systems Neuroscience
  • Computation and Theory
  • Neurobiology of Learning and Memory
  • Neuroethology
  • Systems and Circuits

Selected Publications

Vikram Gadagkar, P. A. Puzerey, R. Chen, E. Baird-Daniel, A. Farhang and J. H. Goldberg (2016) Dopamine Neurons Encode Performance Error in Singing Birds. Science 354: 1278-1282

Vikram Gadagkar and J. H. Goldberg (2013) A variability-generating circuit goes awry in a songbird model of the FOXP2 speech disorder. Neuron 80: 1341-1344

E. Pratt, B. Hunt, Vikram Gadagkar, M. Yamashita, M. J. Graf, A. V. Balatsky, and J. C. Davis (2011) Interplay of Rotational, Relaxational, and Shear Dynamics of Solid 4He. Science 332: 821-824

B. Hunt, E. Pratt, Vikram Gadagkar, M. Yamashita, A. V. Balatsky, and J. C. Davis (2009) Evidence for a Superglass State in Solid 4He. Science 324: 632-636