Rebecca Mease is a neuroscientist interested in understanding neuronal network computations at single-cell resolution in behaving animals. She uses experimental and computational approaches to study how the biophysical properties of neurons and synapses give rise to adaptive neural coding strategies at diverse timescales. Current interests include using dimensionality-reduction and information theoretic techniques to reveal principles of information flow in large networks of genetically identified neurons in cortex and thalamus, with a focus on the role of top-down influences in models of sensory integration and circuit pathology.
Responsibilities at home organisation
- Principal investigator
- Research fellow
Responsibilities within the project
- Project design
- Supervision, analysis
Research interests of relevance to the RTG Big data in the Bioscience
- Information encoding
- model optimization
- recurrent networks
- neuronal networks
- dimensionality reduction
- machine learning
- computational modelling
- information theory
- B.S. Massachusetts Institute of Technology, Cambridge, USA
- Ph.D. University of Washington, Seattle, USA
Field of Expertise
- Neural coding
- Ion channels
- Thalamocortical interactions
- Mease, R. A., Kuner, T., Fairhall, A. L. & Groh, A. Multiplexed Spike Coding and Adaptation in the Thalamus. Cell Rep. 19, 1130–1140 (2017).
- Mease, R. A., Famulare, M., Gjorgjieva, J., Moody, W. J. & Fairhall, A. L. Emergence of adaptive computation by single neurons in the developing cortex. J. Neurosci. 33, 12154–12170 (2013).
- Mease, R. A. et al. Context-dependent coding in single neurons. J. Comput. Neurosci. 37, 459–480 (2014).
- Mease, R. A., Sumser, A., Sakmann, B. & Groh, A. Corticothalamic Spike Transfer via the L5B-POm Pathway in vivo. Cereb. Cortex 26, 3461–3475 (2016).
- Mease, R. A., Krieger, P. & Groh, A. Cortical control of adaptation and sensory relay mode in the thalamus. Proc. Natl. Acad. Sci. U. S. A. 111, 6798–6803 (2014).
Network within RTG Bio Big Data Research
- Alexander Groh