Professor of School of Biological Sciences
The Rose Lab Home Page
Brain and Behavior
e-mail: email@example.com Professor of Biology
Ph.D. 1983, Cornell University; NIH Postdoctoral Fellow, 1983-1985, Research Associate, 1985-1988, Scripps Institution of Oceanography
Information processing in the auditory and electrosensory systems
We study animal behavior at both 'proximate' and 'ultimate' levels. At the proximate level, we investigate how neural circuits in fish and anuran amphibians control natural behaviors. At the ultimate level, we study the adaptive significance and evolution of these behaviors. Our research methodology, therefore, ranges from neurophysiological analysis of single neuron function to behavioral studies in the lab and field. Behavioral studies allow us to generate testable hypotheses concerning neural control. Conversely, neurophysiological experiments provide clues as to the evolution of behaviors. This 'neuroethological' approach is evident in the specific research projects described below.
Neural control and evolution of electrosensory behaviors in electric fish:
In many animal behaviors, information about the environment is detected by sensory receptors and then transmitted to the central nervous system where stimulus patterns of relevance must be discriminated. Often, sensory signals are then translated into motor commands. The cellular mechanisms by which these operations are performed are poorly understood. Electric fish are particularly suitable for studying these questions. Behaviors such as the 'jamming avoidance responses' remain intact in neurophysiological preparations, permitting analysis of the entire neural circuit for generating these behaviors. Presently, we are using newly-developed methods for making intracellular recordings in vivo (see ref. below) to investigate how particular computations are performed. Recently we have found that short-term synaptic plasticity mechanisms are important in generating neural filters of temporal information.
Comparative neurophysiological studies of the electrosensory system of closely related species that lack jamming avoidance responses are also in progress. These studies should shed light on how neural circuits change during evolution to generate new behaviors.
Neural mechanisms of audition in anurans:
Acoustic communication plays an important role in the reproductive behavior of anuran amphibians (frogs and toads). Much of the information in these vocalizations is encoded in the temporal structure (e.g. pulse repetition rate). The anuran auditory system, therefore, is well suited for investigating how the temporal structure of sound is represented at various stages in the auditory nervous system. We are particularly interested in understanding the mechanisms that underlie transformations in these representations. For example, the periodic modulations in the amplitude of sound are coded in the peripheral auditory system by the periodic fluctuations in the discharge rate of these neurons. At the midbrain, however, this 'periodicity' coding is replaced by a 'temporal filter' coding scheme wherein individual neurons selectively respond to particular rates of amplitude modulation. The mechanisms that underlie this transformation are unknown. Recent neurophysiological and behavioral studies indicate that integration and recovery processes play critical roles in generating the temporal tuning properties of midbrain neurons. We are now using intracellular recording methods to examine the mechanisms that underlie these processes.
Song learning in songbirds:
In collaboration with Franz Goller's lab, we are studying how songbirds learn their songs. Songbirds must hear song early in life in order to later develop a good copy of the song of their local dialect; they are not innately able to produce a correct song. During song development, birds compare what they produce to the memorized representation (template) of the song(s) that they heard during their 'sensitive period' early in life. We are currently studying song learning in the species of white-crowned sparrows that is found in our local mountains. Our work is directed at exploring the nature of the 'template', how experience shapes it, and how it is used to guide song development. Recent advances in digital signal processing now enable us to track the developmental paths that these birds take in producing complete song.
Social control of sex, behavior and coloration in wrasses:
Wrasses are coral-reef fishes that exhibit highly plastic reproductive behavior and life histories. Individuals begin life in an 'initial phase', wherein males and females are similarly cryptically colored. Later in life, particular individuals may undergo a transformation, becoming more brilliantly colored and, if genetically female, switch sex. These 'supermales' maintain control over a harem of females. We are currently studying the social factors that govern the decision to undergo this transformation. Eventually, we hope to understand the physiological processes that underlie this change.
Plamondon, S.L., Rose, G.J., and Goller, F. (2010) Roles of syntax information in directing song development in white-crowned sparrows (Zonotrichia leucophrys). J. Comp. Psychol., 124(2):117-132.
Edwards, C.J., Leary, C.J., and Rose, G.J. (2008) Mechanisms of long-interval selectivity in midbrain auditory neurons: roles of excitation, inhibition and plasticity. J. Neurophysiol., 100:3407-3416.
Plamondon, S.L., Goller, F., and Rose, G.J. (2008) Tutor model syntax influences the syntactical and phonological structure of crystallized songs of white-crowned sparrows. Anim. Behav., 76(6):1815-1827.
Leary, C.J., Edwards, C.J., and Rose, G.J. (2008) Midbrain auditory neurons integrate excitation and inhibition to generate duration selectivity: an, in vivo, whole-cell patch study in anurans. J. Neurosci., 27:13384-13392.
Edwards, C.J., Leary, C.J., and Rose, G.J. (2007) Counting on inhibition and rate-dependent excitation in the auditory system. J. Neurosci., 27:13384-13392.
Edwards, C.J., Alder, T.B., and Rose, G.J. (2005) Pulse rise time but not duty cycle affects the temporal selectivity of neurons in the anuran midbrain that prefer slow AM rates. J. Neurophysiol., 93:1336-1341.
Rose, G.J., Goller, F., Gritton, H.J., Plamondon, S.L., Baugh, A.T., and Cooper, B.G. (2004) Species-typical songs in white-crowned sparrows tutored with only phrase pairs. Nature, 432:753-758.
Edwards, C.J., and Rose, G.J. (2003) Interval-integration underlies AM band-suppression selectivity in the anuran midbrain. J. Comp. Physiol., 189:907-914.
Fortune, E.S., and Rose, G.J. (2003) Voltage-Gated NA+ Channels Enhance the Temporal Filtering Properties of Electrosensory Neurons in the Torus. J Neurophysiol., 90:924-929.
Edwards, C.J., Alder, T.B., and Rose, G.J. (2002) Auditory midbrain neurons that count. Nature Neurosci., 5(1):934-936.
Rose, G.J., and Brenowitz, E.A. (2002) Pacific treefrogs use temporal integration to differentiate advertisement from encounter calls. Anim. Behav., 63:1183-1190.
Fortune, E.S., and Rose, G.J. (2001) Short-term plasticity as a temporal filter. Trends in Neurosci., 24:381-385.
Fortune, E.S., and Rose, G.J. (2000) Short-term synaptic plasticity contributes to temporal filtering of electrosensory information. J. Neurosci., 20(18):7122-7130.
Rose, G.J., and Fortune, E.S. (1999) Frequency-dependent PSP depression contributes to low-pass temporal filtering in Eigenmannia. J. Neurosci., 19(17):7629-7639.
Alder, T.B., and Rose, G.J. (1998) Long-term temporal integration in the anuran auditory system. Nature Neurosci., 1(16):519-523.
Fortune, E.S., and Rose, G.J. (1997) Passive and Active Membrane Properties Contribute to the Temporal Filtering Properties of Midbrain Neurons In Vivo. Journal of Neuroscience, 17(10)3815-3825.
Rose, G.J., and Brenowitz, E.A. (1997) Plasticity of aggressive thresholds in Hyla regilla: discrete accommodation to encounter calls. Anim. Behav., 53:353-361.
Fortune, E.S., and Rose, G.J. (1997) Temporal Filtering Properties of Ampullary Electrosensory Neurons in the Torus semicircularis of Eigenmannia: Evolutionary and Computational Implications. Brain Behav. Evol., 49:312-323.
Rose, G.J., and Fortune, E.S. (1996) New techniques for making whole-cell recordings from CNS neurons in vivo. Neuroscience Research, 26:89-94.