Aksoy T, Shouval HZ. (2022). Active intrinsic conductances in recurrent networks allow for long-lasting transients and sustained activity with realistic firing rates as well as robust plasticity Journal of computational neuroscience. 50 [PubMed]
Alvarez FP, Destexhe A. (2004). Simulating cortical network activity states constrained by intracellular recordings. Neurocomputing. 58
Aviel Y, Horn D, Abeles M. (2005). Memory capacity of balanced networks. Neural computation. 17 [PubMed]
Basalyga G, Salinas E. (2006). When response variability increases neural network robustness to synaptic noise. Neural computation. 18 [PubMed]
Bittner SR et al. (2017). Population activity structure of excitatory and inhibitory neurons. PloS one. 12 [PubMed]
Blumenfeld B, Bibitchkov D, Tsodyks M. (2006). Neural network model of the primary visual cortex: From functional architecture to lateral connectivity and back Journal of computational neuroscience. 20 [PubMed]
Brunel N, Wang XJ. (2001). Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. Journal of computational neuroscience. 11 [PubMed]
Byrne P, Becker S. (2004). Modeling mental navigation in scenes with multiple objects. Neural computation. 16 [PubMed]
Calvin OL, Redish AD. (2021). Global disruption in excitation-inhibition balance can cause localized network dysfunction and Schizophrenia-like context-integration deficits PLoS computational biology. 17 [PubMed]
Cisek P. (2006). Integrated neural processes for defining potential actions and deciding between them: a computational model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]
Destexhe A, Rudolph M, Paré D. (2003). The high-conductance state of neocortical neurons in vivo. Nature reviews. Neuroscience. 4 [PubMed]
Durstewitz D. (2006). A few important points about dopamine's role in neural network dynamics. Pharmacopsychiatry. 39 Suppl 1 [PubMed]
Durstewitz D, Gabriel T. (2007). Dynamical basis of irregular spiking in NMDA-driven prefrontal cortex neurons. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]
Edin F, Macoveanu J, Olesen P, Tegnér J, Klingberg T. (2007). Stronger synaptic connectivity as a mechanism behind development of working memory-related brain activity during childhood. Journal of cognitive neuroscience. 19 [PubMed]
Ermentrout GB, Terman DH. (2010). Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics. 35
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]
Goldberg JA, Rokni U, Sompolinsky H. (2004). Patterns of ongoing activity and the functional architecture of the primary visual cortex. Neuron. 42 [PubMed]
Golomb D, Shedmi A, Curtu R, Ermentrout GB. (2006). Persistent synchronized bursting activity in cortical tissues with low magnesium concentration: a modeling study. Journal of neurophysiology. 95 [PubMed]
Gruber AJ, Dayan P, Gutkin BS, Solla SA. (2006). Dopamine modulation in the basal ganglia locks the gate to working memory. Journal of computational neuroscience. 20 [PubMed]
Gutkin BS, Laing CR, Colby CL, Chow CC, Ermentrout GB. (2001). Turning on and off with excitation: the role of spike-timing asynchrony and synchrony in sustained neural activity. Journal of computational neuroscience. 11 [PubMed]
Hamaguchi K, Okada M, Aihara K. (2007). Variable timescales of repeated spike patterns in synfire chain with Mexican-hat connectivity. Neural computation. 19 [PubMed]
Hass J, Hertäg L, Durstewitz D. (2016). A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity. PLoS computational biology. 12 [PubMed]
Ibañez S, Luebke JI, Chang W, Draguljić D, Weaver CM. (2019). Network Models Predict That Pyramidal Neuron Hyperexcitability and Synapse Loss in the dlPFC Lead to Age-Related Spatial Working Memory Impairment in Rhesus Monkeys. Frontiers in computational neuroscience. 13 [PubMed]
Ibañez S, Sengupta N, Luebke JI, Wimmer K, Weaver CM. (2024). Myelin dystrophy impairs signal transmission and working memory in a multiscale model of the aging prefrontal cortex. eLife. 12 [PubMed]
Joelving FC, Compte A, Constantinidis C. (2007). Temporal properties of posterior parietal neuron discharges during working memory and passive viewing. Journal of neurophysiology. 97 [PubMed]
Konstantoudaki X, Papoutsi A, Chalkiadaki K, Poirazi P, Sidiropoulou K. (2014). Modulatory effects of inhibition on persistent activity in a cortical microcircuit model. Frontiers in neural circuits. 8 [PubMed]
Kumar A, Schrader S, Aertsen A, Rotter S. (2008). The high-conductance state of cortical networks. Neural computation. 20 [PubMed]
Kömek K, Bard Ermentrout G, Walker CP, Cho RY. (2012). Dopamine and gamma band synchrony in schizophrenia--insights from computational and empirical studies. The European journal of neuroscience. 36 [PubMed]
Laing CR. (2006). On the application of "equation-free modelling" to neural systems. Journal of computational neuroscience. 20 [PubMed]
Lundqvist M, Rehn M, Djurfeldt M, Lansner A. (2006). Attractor dynamics in a modular network model of neocortex. Network (Bristol, England). 17 [PubMed]
Machens CK, Brody CD. (2008). Design of continuous attractor networks with monotonic tuning using a symmetry principle. Neural computation. 20 [PubMed]
Macoveanu J, Klingberg T, Tegnér J. (2006). A biophysical model of multiple-item working memory: a computational and neuroimaging study. Neuroscience. 141 [PubMed]
Masuda N, Okada M, Aihara K. (2007). Filtering of spatial bias and noise inputs by spatially structured neural networks. Neural computation. 19 [PubMed]
Mejías JF, Wang XJ. (2022). Mechanisms of distributed working memory in a large-scale network of macaque neocortex eLife. 11 [PubMed]
Miller P. (2006). Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor States. Neural computation. 18 [PubMed]
Miller P, Wang XJ. (2006). Stability of discrete memory states to stochastic fluctuations in neuronal systems. Chaos (Woodbury, N.Y.). 16 [PubMed]
Mongillo G, Amit DJ. (2001). Oscillations and irregular emission in networks of linear spiking neurons. Journal of computational neuroscience. 11 [PubMed]
Morita K. (2008). Possible role of dendritic compartmentalization in the spatial working memory circuit. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]
Mäki-Marttunen T, Mäki-Marttunen V. (2022). Excitatory and inhibitory effects of HCN channel modulation on excitability of layer V pyramidal cells PLoS computational biology. 18 [PubMed]
Neymotin SA et al. (2016). Calcium regulation of HCN channels supports persistent activity in a multiscale model of neocortex. Neuroscience. 316 [PubMed]
Obi-Nagata K et al. (2023). Distorted neurocomputation by a small number of extra-large spines in psychiatric disorders Science Advances. 9(23) [PubMed]
Papoutsi A, Sidiropoulou K, Cutsuridis V, Poirazi P. (2013). Induction and modulation of persistent activity in a layer V PFC microcircuit model. Frontiers in neural circuits. 7 [PubMed]
Papoutsi A, Sidiropoulou K, Poirazi P. (2014). Dendritic nonlinearities reduce network size requirements and mediate ON and OFF states of persistent activity in a PFC microcircuit model. PLoS computational biology. 10 [PubMed]
Pena RFO, Zaks MA, Roque AC. (2018). Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise. Journal of computational neuroscience. 45 [PubMed]
Pouget A, Dayan P, Zemel RS. (2003). Inference and computation with population codes. Annual review of neuroscience. 26 [PubMed]
Renart A, Moreno-Bote R, Wang XJ, Parga N. (2007). Mean-driven and fluctuation-driven persistent activity in recurrent networks. Neural computation. 19 [PubMed]
Renart A, Song P, Wang XJ. (2003). Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron. 38 [PubMed]
Reneaux M, Gupta R. (2018). Prefronto-cortical dopamine D1 receptor sensitivity can critically influence working memory maintenance during delayed response tasks PLOS ONE. 13(5)
Romani S, Amit DJ, Mongillo G. (2006). Mean-field analysis of selective persistent activity in presence of short-term synaptic depression. Journal of computational neuroscience. 20 [PubMed]
Sanders H, Berends M, Major G, Goldman MS, Lisman JE. (2013). NMDA and GABAB (KIR) conductances: the "perfect couple" for bistability. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]
Sanders H et al. (2014). A network that performs brute-force conversion of a temporal sequence to a spatial pattern: relevance to odor recognition. Frontiers in computational neuroscience. 8 [PubMed]
Shanahan M. (2008). A spiking neuron model of cortical broadcast and competition. Consciousness and cognition. 17 [PubMed]
Song P, Wang XJ. (2005). Angular path integration by moving "hill of activity": a spiking neuron model without recurrent excitation of the head-direction system. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]
Soula H, Chow CC. (2007). Stochastic dynamics of a finite-size spiking neural network. Neural computation. 19 [PubMed]
Swinehart CD, Abbott LF. (2005). Supervised learning through neuronal response modulation. Neural computation. 17 [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]
Winograd M, Destexhe A, Sanchez-Vives MV. (2008). Hyperpolarization-activated graded persistent activity in the prefrontal cortex. Proceedings of the National Academy of Sciences of the United States of America. 105 [PubMed]
Wong KF, Wang XJ. (2006). A recurrent network mechanism of time integration in perceptual decisions. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]