Durstewitz D, Seamans JK, Sejnowski TJ. (2000). Neurocomputational models of working memory. Nature neuroscience. 3 Suppl [PubMed]

See more from authors: Durstewitz D · Seamans JK · Sejnowski TJ

References and models cited by this paper
References and models that cite this paper

Conde-Sousa E, Aguiar P. (2013). A working memory model for serial order that stores information in the intrinsic excitability properties of neurons. Journal of computational neuroscience. 35 [PubMed]

Durstewitz D. (2006). A few important points about dopamine's role in neural network dynamics. Pharmacopsychiatry. 39 Suppl 1 [PubMed]

Fall CP, Rinzel J. (2006). An intracellular Ca2+ subsystem as a biologically plausible source of intrinsic conditional bistability in a network model of working memory. Journal of computational neuroscience. 20 [PubMed]

Fiebig F, Lansner A. (2017). A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

Fröhlich F, Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ. (2006). Slow state transitions of sustained neural oscillations by activity-dependent modulation of intrinsic excitability. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Galan RF, Weidert M, Menzel R, Herz AVM , Galizia CG. (2005). Sensory Memory for Odors Is Encoded in Spontaneous Correlated Activity Between Olfactory Glomeruli Neural Comput. 18

Kaltenbrunner A, Gómez V, López V. (2007). Phase transition and hysteresis in an ensemble of stochastic spiking neurons. Neural computation. 19 [PubMed]

Lim S, Goldman MS. (2013). Balanced cortical microcircuitry for maintaining information in working memory. Nature neuroscience. 16 [PubMed]

Lim S, Goldman MS. (2014). Balanced cortical microcircuitry for spatial working memory based on corrective feedback control. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

Neymotin SA et al. (2016). Calcium regulation of HCN channels supports persistent activity in a multiscale model of neocortex. Neuroscience. 316 [PubMed]

O'Reilly RC, Frank MJ. (2006). Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia. Neural computation. 18 [PubMed]

O`Reilly RC, Frank MJ. (2005). Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia Neural Comput. 18

Porr B, Wörgötter F. (2007). Learning with "relevance": using a third factor to stabilize Hebbian learning. Neural computation. 19 [PubMed]

Ratté S, Karnup S, Prescott SA. (2018). Nonlinear Relationship Between Spike-Dependent Calcium Influx and TRPC Channel Activation Enables Robust Persistent Spiking in Neurons of the Anterior Cingulate Cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 38 [PubMed]

Sherfey JS et al. (2018). DynaSim: A MATLAB Toolbox for Neural Modeling and Simulation. Frontiers in neuroinformatics. 12 [PubMed]

Teramae JN, Fukai T. (2005). A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Implications in Working Memory Journal of computational neuroscience. 18 [PubMed]

Ullah G, Cressman JR, Barreto E, Schiff SJ. (2009). The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states. II. Network and glial dynamics. Journal of computational neuroscience. 26 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.