Schultz Laboratory
Department of Bioengineering, Imperial College London

We work at the interface between engineering and neuroscience. Our aim is to understand how sensory information is processed by neural circuits in the mammalian cerebral and cerebellar cortices, including how it is used in elementary cognitive operations. Understanding how the “cortical circuit” processes information will help us to understand how it dysfunctions in neurodevelopmental and neurodegenerative disorders, and will also aid in the design of novel computational devices. Our work involves both neuroscience experiments and theoretical/computational work. We use a number of technologies to probe cortical circuit function - two photon calcium imaging, optogenetic disruption of genetically targeted cells, and electrophysiology. We also develop novel algorithms, based particularly on information theory, for analysing the resulting high-dimensional datasets.

Selected recent publications:
  • J. Oñativia, S. R. Schultz and P.-L. Dragotti (2013). A Finite Rate of Innovation algorithm for fast and accurate spike detection from two-photon calcium imaging. Journal of Neural Engineering, 10 046017, in press. Link.
  • N. Grossmann, V. Simiaki, C. Martinet, C. Toumazou, S. R. Schultz and K. Nikolic (2012). The spatial pattern of light determines the kinetics and modulates backpropagation of optogenetic action potentials. Journal of Computational Neuroscience, 34(3):477-88, doi: 10.1007/s10827-012-0431-7.
  • E. Phoka, M. Wildie, S. R. Schultz and M. Barahona (2012). Sensory experience modifies spontaneous state dynamics in a barrel cortical circuit model. Journal of Computational Neuroscience, 33:323-339. PDF.
  • A. B. Saleem, K.D. Longden, D. Schwyn, H. G. Krapp, and S. R. Schultz (2012). Bimodal optomotor response to plaids in blowflies: mechanisms of component-selectivity and evidence for pattern-selectivity. Journal of Neuroscience, 32(5):1634-1642. PDF.
  • M. T. Schaub and S. R. Schultz (2012). The Ising Decoder: reading out the activity of large neural ensembles. Journal of Computational Neuroscience. 32(1):101-118. PDF
  • S. R. Schultz, K. Kitamura, J. Krupic, A. Post-Uiterweer and M. Häusser (2009). Spatial pattern coding of sensory information by climbing-fiber evoked calcium signals in networks of neighboring cerebellar Purkinje cells. Journal of Neuroscience, 29:8005-8015. Link.

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