Neuropedia

▪️Moo K. Chung. Statistical and Computational Methods in Brain Image Analysis. CRC Press (2013).

▪️Daniel Durstewitz. Advanced data analysis in neuroscience: integrating statistical and computational models. Springer (2017).

▪️Concha Bielza, Pedro Larrañaga. Data-Driven Computational Neuroscience: Machine Learning and Statistical Models. Cambridge University Press (2021).

▪️Michael D. Lee and Eric-Jan Wagenmakers. Bayesian Cognitive Modeling: A Practical Course. Cambridge University Press (2014).

▪️Lidia Ghosh. Cognitive Modeling of Human Memory and Learning. Wiley-IEEE Press (2021).

▪️Alain Destexhe, Michelle Rudolph-Lilith. Neuronal Noise. Springer (2012).

▪️Vladimir L. Tsibulsky, Andrew B. Norman, Boris Gutkin, Serge H. Ahmed. Computational Neuroscience of Drug Addiction. Springer (2012).

▪️ John Miller, James M. Bower (auth.), James M Bower. 20 Years of Computational Neuroscience. Springer (2013).

▪️Hermann Cuntz, Michiel W.H. Remme, Benjamin Torben-Nielsen. The Computing Dendrite: From Structure to Function. Springer (2014).

▪️Maurizio De Pittà, Hugues Berry. Computational Glioscience. Springer International Publishing (2019).

▪️Fernando Corinto, Alessandro Torcini. Nonlinear Dynamics in Computational Neuroscience. Springer (2019).

▪️V. Srinivasa Chakravarthy, Ahmed A. Moustafa. Computational Neuroscience Models of the Basal Ganglia. Springer (2018).

▪️Christoph Börgers. An Introduction to Modeling Neuronal Dynamics. Springer (2017).

▪️Qi Zhao. Computational and Cognitive Neuroscience of Vision. Springer (2017).

▪️Sisir Roy. Decision Making and Modelling in Cognitive Science. Springer (2016).