Python / Brian2 code from netowork models in Prat-Ortega G, Wimmer K, Roxin A, de la Rocha J. Flexible categorization in perceptual decision making. Nature Communications, 2021. doi:10.1038/s41467-021-21501-z
Python / Brian2 code of the classical Wang 2002 model, with an efficient implementation of NMDAR synaptic dynamics (Wang, X.-J. Probabilistic decision making by slow reverberation in cortical circuits. Neuron, 2002, 36, 955-968).
Urai AE & Wimmer K (2016). Spatiotemporal motion energy filtering: a Matlab implementation. Zenodo. doi:10.5281/zenodo.594505
Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT. Wimmer K, Compte A, Roxin A, Peixoto D, Renart A, de la Rocha J. Nature Communications, 2015. doi:10.1038/ncomms7177
Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory. Wimmer K, Nykamp DQ, Constantinidis C, Compte A. Nature Neuroscience, 2014. doi:10.1038/nn.3645
Pollán Hauer N., Pesaran B., Compte A., Wimmer K. Prefrontal circuit specialization underlying task-triggered changes in populations codes in spatial working memory. Virtual Working Memory Symposium (June 2020). [Video]
Esnaola-Acebes JM., Roxin A., Wimmer K. Bump attractor dynamics explain temporal weighting of evidence in estimation and categorization tasks. Neuromatch 2.0 (May 2020). [Video]
Wimmer, K. Stimulus fluctuations together with top-down feedback can account for the dynamics of choice probability in MT, Bernstein Conference 2013 (Sep 2013). [Video]
Wimmer, K. Stimulus fluctuations together with top-down feedback can account for the dynamics of choice probabilities, ESF Exploratory Workshop on Noise in Decision Making: Theory Meets Experiment (May 2013). [YouTube]