Department of Molecular and cellular Biology, Harvard University
The ability of efficiently acquiring sensory information and selecting an appropriate action is the essence of flexible behaviors. To make good decisions, it is also crucial to evaluate the consequences of previous actions (gains and costs) and adjust strategies for future decisions. Our laboratory is interested in neuronal processes by which sensory information and memory about previous experiences guide behavior of the animal.
Our main questions are:
- How is odor information coded and processed by an ensemble of neurons?
- What kinds of circuit dynamics underlie decision-making processes?
- What are the mechanisms for learning based on rewards and punishments?
We have developed an odor-guided perceptual decision task in rats and mice. This behavioral paradigm was recently combined with a multi-electrode recording technique (tetrodes) which allows us to monitor activity of multiple neurons simultaneously while animals are performing a behavioral task. Particular emphasis will be made on the use of behavior. First, behavioral paradigms specify computations (e.g. extracting relevant information in the sensory stimulus) and behavioral goals (e.g. maximizing rewards in a certain period) to be achieved. This in turn guides the way neuronal activities are analyzed. Furthermore, behavioral experiments are necessary to test relevance of certain activity of neurons or hypothesis about "neural codes" obtained in neuronal recordings. We will use various molecular and genetic tools available in mice to further test specific hypotheses experimentally. By combining the above approaches, we wish to establish a causal link between activity of specific neuronal circuits and the dynamics of behavior and learning.
Cohen, J.Y., Haesler, S., Vong, L., Lowell, B.B., and Uchida, N. (2012). Neuron-type-specific signals for reward and punishment in the ventral tegmental area. Nature, 482(7383):85-88.
Watabe-Uchida, M., Zhu, L., Ogawa, S.K., Vamanrao, A., Uchida, N. (2012). Whole-brain mapping of direct inputs to midbrain dopamine neurons. Neuron. 74(5):858-73.
Miura, K., Mainen, Z.F., Uchida, N. (2012). Odor representations in olfactory cortex: distributed rate coding and decorrelated population activity. Neuron. 74(6):1087-98.
Cury, K.,Uchida, N. (2010). Robust odor coding via inhalation-coupled transient activity in the mammalian olfactory bulb. Neuron, 68(3): 570-85.
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