Research Interests: Theoretical Neuroscience
Overview: Our lab is focused on elucidating the neural basis of sensory perception, decision-making, and associative learning.
- How does behavior emerge from the complex temporal interactions of cortical and subcortical networks?
- How do different physiological states, such as arousal, disengagement, expectation, affect sensory processing and modulate an animal's behavior?
- What drives associative learning at the level of synaptic plasticity in cortical and subcortical circuits?
To study these and other questions, we use methods from statistical physics, information theory, machine learning, and dynamical systems. We combine analysis of neurophysiological data from large populations of neurons in behaving animals with theoretical models based on neural networks.
Our lab is passionate about creating an inclusive environment promoting diversity. We embrace a notion of intellectual community enhanced by diversity along a number of dimensions, including race, ethnicity and national origins, gender identity and presentation, disability, class and religion. We aim at fostering greater creativity and encouraging collaborative innovation and interactions.