The Neural Computation Laboratory aims at understanding how circuits of neurons in the brain exchange and transmit information and contribute to sensation and behavior.
The laboratory addresses this issue by developing advanced statistical tools for the analysis of simultaneous recordings of neural activity from multiple locations, by applying these tools to empirical data to understand how neurons encode and transmit information, and by developing biophysically plausible models of neural circuit dynamics that explain the empirical findings.
- Information theoretic methods to study neural representations
- Role of neural dynamics (spike timing, oscillations) in encoding and transmitting information
- Role of gamma oscillations in dynamical routing communication across circuits information transfer
- Role of noradrenaline in shaping cortical information processing Measures of information flow and functional connectivity from mesoscopic and macroscopic measures of neural activity
- Theory of how causal manipulations can be used to crack the neural code
Theoretical research in the lab is mostly carried out in the Center for Neuroscience and Cognitive Systems at IIT Rovereto. The laboratory is equipped with state of the art computational facilities.
- Optical Approaches to Brain Function at IIT (T. Fellin)
- Functional Neuroimaging Lab at IIT (A. Gozzi)
- SISSA (M. Diamond and D. Zoccolan)
- Max Planck Tuebingen (N.K. Logothetis, O. Eschenko)
- Harvard Medical School (C.D. Harvey)
- University of Glasgow (C. Kayser, P. Schyns, J. Gross)