Welcome to the nCODE Lab! We are a computational neuroscience group interested in studying brain information processing under the principles of neural networks and information theory with the aims of better understanding how
- External-world and internally generated information is encoded and transmitted across brain areas during the execution of cognitive tasks.
- Pathological activity is originated, sustained, and propagated during neurological diseases.
Our research mainly relies on the analysis and modelling of electrophysiological recordings (spike trains, local field potentials, intracranial EEG) and behavioural/clinical data during cognitive tasks and pathological events using a combination of information-theoretic methods, network science, statistical models and machine learning. We also have a strong emphasis on technology transfer developing applications for clinical use, specially in the context of drug-resistant epilepsy surgery.
News
- July 24: Our article “A comparative study between a power and a connectivity sEEG biomarker for seizure-onset zone identification in temporal lobe epilepsy” in collaboration with the Epilepsy Unit from Hospital del Mar (Barcelona) has been accepted for publication in Journal of Neuroscience Methods.
- June 24: Our article “Thalamocortical interactions shape hierarchical neural variability during stimulus perception” on information processing in the somatosensory pathway has been published in IScience.