Computational Neuroscience
Klaus Wimmer
PhD, Investigador Ramón y Cajal
Lab members
Jose Mari Esnaola, PhD
Nicolás Pollán Hauer, PhD student
Our projects
The Wimmer lab is part of the Computational Neuroscience Group at the CRM, with a main focus on the dynamics of cortical microcircuits, which are ensembles of hundreds or thousands of neurons in the cerebral cortex. We aim at uncovering the neural circuit dynamics underlying cognitive function. In particular, the Wimmer lab works on developing computational models of cortical circuits to shed light on the neural network dynamics underlying human and animal behavior during elementary cognitive tasks such as working memory and perceptual decision making. Modeling efforts are complemented by analysis of typically high-dimensional neural data obtained by collaborators (e.g. simultaneous recordings from large populations of neurons or human neuroimaging data) involving state-of-the-art statistical and machine learning tools. We also seek to identify clinical questions where biophysical models of neural circuits can be applied.
Last publications
Prat-Ortega G, Wimmer K, Roxin A, de la Rocha J. Flexible categorization in perceptual decision making. BioRxiv, 2020. doi:10.1101/2020.05.23.110460
Malone PS, Eberhardt SP, Wimmer K, Sprouse C, Klein R, Glomb K, Scholl CA, Bokeria L, Cho P, Deco G, Jiang X, Bernstein LE, Riesenhuber M. Neural mechanisms of vibrotactile categorization. Hum Brain Mapp 40:3078-3090, 2019. doi:10.1002/hbm.24581
Wimmer K, Spinelli P, Pasternak T. Prefrontal neurons represent motion signals from across the visual field but for memory-guided comparisons depend on neurons providing these signals. J Neurosci, 36:9351-9364, 2016. doi:10.1523/jneurosci.0843-16.2016
Wimmer K, Ramon M, Pasternak T, Compte A. Transitions between multiband oscillatory patterns characterize memory-guided perceptual decisions in prefrontal circuits. J Neurosci, 36:489-505, 2016. doi:10.1523/JNEUROSCI.3678-15.2016
Klaus Wimmer
PhD, Investigador Ramón y Cajal
Lab members
Jose Mari Esnaola, PhD
Nicolás Pollán Hauer, PhD student
Our projects
The Wimmer lab is part of the Computational Neuroscience Group at the CRM, with a main focus on the dynamics of cortical microcircuits, which are ensembles of hundreds or thousands of neurons in the cerebral cortex. We aim at uncovering the neural circuit dynamics underlying cognitive function. In particular, the Wimmer lab works on developing computational models of cortical circuits to shed light on the neural network dynamics underlying human and animal behavior during elementary cognitive tasks such as working memory and perceptual decision making. Modeling efforts are complemented by analysis of typically high-dimensional neural data obtained by collaborators (e.g. simultaneous recordings from large populations of neurons or human neuroimaging data) involving state-of-the-art statistical and machine learning tools. We also seek to identify clinical questions where biophysical models of neural circuits can be applied.
Last Publications
Prat-Ortega G, Wimmer K, Roxin A, de la Rocha J. Flexible categorization in perceptual decision making. BioRxiv, 2020. doi:10.1101/2020.05.23.110460
Malone PS, Eberhardt SP, Wimmer K, Sprouse C, Klein R, Glomb K, Scholl CA, Bokeria L, Cho P, Deco G, Jiang X, Bernstein LE, Riesenhuber M. Neural mechanisms of vibrotactile categorization. Hum Brain Mapp 40:3078-3090, 2019. doi:10.1002/hbm.24581
Wimmer K, Spinelli P, Pasternak T. Prefrontal neurons represent motion signals from across the visual field but for memory-guided comparisons depend on neurons providing these signals. J Neurosci, 36:9351-9364, 2016. doi:10.1523/jneurosci.0843-16.2016
Wimmer K, Ramon M, Pasternak T, Compte A. Transitions between multiband oscillatory patterns characterize memory-guided perceptual decisions in prefrontal circuits. J Neurosci, 36:489-505, 2016. doi:10.1523/JNEUROSCI.3678-15.2016