Mala Murthy

Photo of Mala Murthy
Associate Professor of Molecular Biology and Princeton Neuroscience Institute
609-258-9820
PNI, 252

Faculty Assistant

Rebecca Khaitman Heller

Education

  • Ph.D., Neuroscience, Stanford University
  • S.B., Biology, Massachusetts Institute of Technology

Research Area

Neuroscience

Research Focus

Neural Mechanisms Underlying Social Communication in Flies

Social Communication and Sensorimotor Transformations

We focus primarily on the acoustic communication system of Drosophila. Similar to other animals, flies produce and process patterned sounds during their mating ritual: typically males generate courtship songs via wing vibration, while females arbitrate mating decisions. Sensory processing plays a role not only in detecting and responding to species-specific songs, but also in generating these dynamic acoustic signals. 
Drosophila, with its relatively simple nervous system, robust and complex mating behaviors, amenability for in vivo neural recordings, and large genetic and molecular toolkit offers an ideal system in which to examine questions about sensory coding and the modulation of behavior.

Acoustic Communication

Despite the long history of courtship research in Drosophila, very little is known about the neural mechanisms underlying song patterning or perception. During courtship, male flies use their wings to produce patterned sound and woo a female into mating. Females are faced with the task of recognizing song, based on its species-specific parameters, and choosing a particular mate, based in part on differences in song between conspecific individuals. While flies do not learn their songs, their capacity to generate and respond to songs with so few neurons is striking, and suggests that studying flies will reveal insight into the basic requirements for communication.

Song Patterning and Production

In spite of its fundamental importance to communication, we know surprisingly little about how sensory cues modulate acoustic patterns in real time. We have recently demonstrated that, unlike most other insects and even some songbirds, flies sing highly variable songs (from one bout to the next, even within individuals). However, using a simple computational model combined with neural circuit manipulations, we demonstrated that the dynamic sensory experience of the male accounts for much of this variability. In particular, male flies rely on fast modulations in visual and self motion cues to pattern the structure of individual song bouts. The long-term objective of this line of research is to understand the cellular mechanisms by which time-varying sensory information is integrated into individual neurons of the song motor circuit. To do this, we combine quantitative behavioral assays, genetic and neural circuit perturbations, and in vivo neural recordings.

Song Processing and Perception

Neural tuning for species-specific acoustic signals is a conserved feature of auditory systems – it is found from insects all the way to humans. However, the precise mechanisms involved remain mysterious. We take advantage of the tools available in Drosophila to investigate, at the level of individual neurons and patterns of electrical activity, how such tuning arises and how it relates to behavioral decisions. 

We record neural activity along the auditory pathway and in response to sounds (both natural and synthetic), starting with mechanosensory neurons in the antenna (or ear of the fly) all the way to central brain regions. Using computational modeling, we can discover how neural codes relate to behavioral preferences for song.

2016

  • HHMI Faculty Scholar, Howard Hughes Medical Institute

2015

  • Dean for Research Innovation Fund for New Ideas in the Natural Sciences, Princeton University

2014

  • BRAIN Initiative EAGER Award, National Science Foundation
  • Director's New Innovator Award, National Institutes of Health

2013

  • McDonnell Preceptor in Neuroscience, Princeton University

2012

  • McKnight Foundation Scholar Award, The McKnight Foundation
  • Klingenstein Fellowship Award in the Neurosciences, The Esther A. & Joseph Klingenstein Fund
  • Oxford-Princeton Collaborative Research Grant, Oxford University, Princeton University

2011

  • Human Frontiers Science Program Young Investigator Award, Human Frontier Science Program Organization
  • Alfred P. Sloan Foundation Research Fellow, Alfred P. Sloan Foundation
  • National Science Foundation CAREER Award, National Science Foundation