Abbott LF, Nelson SB. (2000). Synaptic plasticity: taming the beast. Nature neuroscience. 3 Suppl [PubMed]
Anderson RW, Farokhniaee A, Gunalan K, Howell B, McIntyre CC. (2018). Action potential initiation, propagation, and cortical invasion in the hyperdirect pathway during subthalamic deep brain stimulation Brain Stimulation.
Baker PM, Pennefather PS, Orser BA, Skinner FK. (2002). Disruption of coherent oscillations in inhibitory networks with anesthetics: role of GABA(A) receptor desensitization. Journal of neurophysiology. 88 [PubMed]
Barros-Zulaica N et al. (2019). Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex Frontiers in Synaptic Neuroscience. 11
Bart E, Bao S, Holcman D. (2005). Modeling the spontaneous activity of the auditory cortex. Journal of computational neuroscience. 19 [PubMed]
Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ. (2002). Model of thalamocortical slow-wave sleep oscillations and transitions to activated States. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]
Brette R, Goodman DF. (2011). Vectorized algorithms for spiking neural network simulation. Neural computation. 23 [PubMed]
Buchs NJ, Senn W. (2002). Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results. Journal of computational neuroscience. 13 [PubMed]
Budd JM. (2005). Theta oscillations by synaptic excitation in a neocortical circuit model. Proceedings. Biological sciences. 272 [PubMed]
Burkitt AN, Meffin H, Grayden DB. (2004). Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point. Neural computation. 16 [PubMed]
Cai Y, Gavornik JP, Cooper LN, Yeung LC, Shouval HZ. (2007). Effect of stochastic synaptic and dendritic dynamics on synaptic plasticity in visual cortex and hippocampus. Journal of neurophysiology. 97 [PubMed]
Chaudhuri D, Issa JB, Yue DT. (2007). Elementary mechanisms producing facilitation of Cav2.1 (P/Q-type) channels. The Journal of general physiology. 129 [PubMed]
Chrysanthidis N, Fiebig F, Lansner A. (2019). Introducing double bouquet cells into a modular cortical associative memory model Journal of Computational Neuroscience.
Clopath C, Büsing L, Vasilaki E, Gerstner W. (2010). Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nature neuroscience. 13 [PubMed]
Costa RP, Sjöström PJ, van Rossum MC. (2013). Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits. Frontiers in computational neuroscience. 7 [PubMed]
Dangelo E, Nieus T, Bezzi M, Arleo A, Coenen O. (2005). (chapter) Modeling synaptic transmission and quantifying information transfer in the granular layer of the cerebellum Computational Intelligence and Bioinspired Systems, Proceedings. 3512
De Pittà M, Goldberg M, Volman V, Berry H, Ben-Jacob E. (2009). Glutamate regulation of calcium and IP3 oscillating and pulsating dynamics in astrocytes. Journal of biological physics. 35 [PubMed]
Doiron B, Longtin A, Berman N, Maler L. (2001). Subtractive and divisive inhibition: effect of voltage-dependent inhibitory conductances and noise. Neural computation. 13 [PubMed]
Dragly SA et al. (2017). Neuronify: An Educational Simulator for Neural Circuits. eNeuro. 4 [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]
Esposito U, Giugliano M, Vasilaki E. (2014). Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity. Frontiers in computational neuroscience. 8 [PubMed]
Farokhniaee A, McIntyre CC. (2019). Theoretical principles of deep brain stimulation induced synaptic suppression. Brain stimulation. 12 [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]
Fuhrmann G, Segev I, Markram H, Tsodyks M. (2002). Coding of temporal information by activity-dependent synapses. Journal of neurophysiology. 87 [PubMed]
Gabbiani F, Cox SJ. (2010). Mathematics for Neuroscientists.
Gandolfi D et al. (2022). A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits Scientific reports. 12 [PubMed]
Goldman MS. (2004). Enhancement of information transmission efficiency by synaptic failures. Neural computation. 16 [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]
Graham BP, Wong AYC, Forsythe ID. (2004). A multi-component model of depression at the calyx of Held Neurocomputing. 58-60
Hay E, Segev I. (2015). Dendritic Excitability and Gain Control in Recurrent Cortical Microcircuits. Cerebral cortex (New York, N.Y. : 1991). 25 [PubMed]
Hayut I, Fanselow EE, Connors BW, Golomb D. (2011). LTS and FS inhibitory interneurons, short-term synaptic plasticity, and cortical circuit dynamics. PLoS computational biology. 7 [PubMed]
Hennig MH, Postlethwaite M, Forsythe ID, Graham BP. (2008). Interactions between multiple sources of short-term plasticity during evoked and spontaneous activity at the rat calyx of Held. The Journal of physiology. 586 [PubMed]
Houweling AR et al. (2002). Frequency-selective augmenting responses by short-term synaptic depression in cat neocortex. The Journal of physiology. 542 [PubMed]
Huang CH, Huang YT, Chen CC, Chan CK. (2017). Propagation and synchronization of reverberatory bursts in developing cultured networks. Journal of computational neuroscience. 42 [PubMed]
Häusser M, Clark BA. (1997). Tonic synaptic inhibition modulates neuronal output pattern and spatiotemporal synaptic integration. Neuron. 19 [PubMed]
Jalil S, Grigull J, Skinner FK. (2004). Novel bursting patterns emerging from model inhibitory networks with synaptic depression. Journal of computational neuroscience. 17 [PubMed]
Khalil R, Moftah MZ, Moustafa AA. (2017). The effects of dynamical synapses on firing rate activity: a spiking neural network model. The European journal of neuroscience. 46 [PubMed]
Kitano K. (2023). The network configuration in Parkinsonian state compensates network activity change caused by loss of dopamine Physiological reports. 11 [PubMed]
Kitano K, Fukai T. (2007). Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies. Journal of computational neuroscience. 23 [PubMed]
Kobayashi R et al. (2019). Reconstructing neuronal circuitry from parallel spike trains. Nature communications. 10 [PubMed]
Krishnan GP, Filatov G, Shilnikov A, Bazhenov M. (2015). Electrogenic properties of the Na?/K? ATPase control transitions between normal and pathological brain states. Journal of neurophysiology. 113 [PubMed]
Körding KP, König P. (2001). Supervised and unsupervised learning with two sites of synaptic integration. Journal of computational neuroscience. 11 [PubMed]
Lee CC, Anton M, Poon CS, McRae GJ. (2009). A kinetic model unifying presynaptic short-term facilitation and depression. Journal of computational neuroscience. 26 [PubMed]
Loebel A, Tsodyks M. (2002). Computation by ensemble synchronization in recurrent networks with synaptic depression. Journal of computational neuroscience. 13 [PubMed]
London M, Schreibman A, Häusser M, Larkum ME, Segev I. (2002). The information efficacy of a synapse. Nature neuroscience. 5 [PubMed]
Luthman J et al. (2011). STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron. Cerebellum (London, England). 10 [PubMed]
Lüdtke N, Nelson ME. (2006). Short-term synaptic plasticity can enhance weak signal detectability in nonrenewal spike trains. Neural computation. 18 [PubMed]
MacLeod KM, Horiuchi TK, Carr CE. (2007). A role for short-term synaptic facilitation and depression in the processing of intensity information in the auditory brain stem. Journal of neurophysiology. 97 [PubMed]
Manninen T, Havela R, Linne M-L. (2017). Reproducibility and comparability of computational models for astrocyte calcium excitability Front. Neuroinform..
Manninen T, Saudargiene A, Linne ML. (2020). Astrocyte-mediated spike-timing-dependent long-term depression modulates synaptic properties in the developing cortex. PLoS computational biology. 16 [PubMed]
Manor Y, Bose A, Booth V, Nadim F. (2003). Contribution of synaptic depression to phase maintenance in a model rhythmic network. Journal of neurophysiology. 90 [PubMed]
Marinazzo D, Kappen HJ, Gielen SC. (2007). Input-driven oscillations in networks with excitatory and inhibitory neurons with dynamic synapses. Neural computation. 19 [PubMed]
Markram H et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163 [PubMed]
Masoli S, D'Angelo E. (2017). Synaptic Activation of a Detailed Purkinje Cell Model Predicts Voltage-Dependent Control of Burst-Pause Responses in Active Dendrites. Frontiers in cellular neuroscience. 11 [PubMed]
Masuda N, Aihara K. (2003). Duality of rate coding and temporal coding in multilayered feedforward networks. Neural computation. 15 [PubMed]
Masuda N, Aihara K. (2004). Self-organizing dual coding based on spike-time-dependent plasticity. Neural computation. 16 [PubMed]
Migliore M, De Simone G, Migliore R. (2015). Effect of the initial synaptic state on the probability to induce long-term potentiation and depression. Biophysical journal. 108 [PubMed]
Mikula S, Niebur E. (2003). Synaptic depression leads to nonmonotonic frequency dependence in the coincidence detector. Neural computation. 15 [PubMed]
Mukunda CL, Narayanan R. (2017). Degeneracy in the regulation of short-term plasticity and synaptic filtering by presynaptic mechanisms. The Journal of physiology. 595 [PubMed]
Nieus T et al. (2006). LTP regulates burst initiation and frequency at mossy fiber-granule cell synapses of rat cerebellum: experimental observations and theoretical predictions. Journal of neurophysiology. 95 [PubMed]
Phares GA, Antzoulatos EG, Baxter DA, Byrne JH. (2003). Burst-induced synaptic depression and its modulation contribute to information transfer at Aplysia sensorimotor synapses: empirical and computational analyses. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]
Puccini GD, Sanchez-Vives MV, Compte A. (2006). Selective detection of abrupt input changes by integration of spike-frequency adaptation and synaptic depression in a computational network model. Journal of physiology, Paris. 100 [PubMed]
Ramaswamy S et al. (2015). The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex. Frontiers in neural circuits. 9 [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]
Richardson MJ, Melamed O, Silberberg G, Gerstner W, Markram H. (2005). Short-term synaptic plasticity orchestrates the response of pyramidal cells and interneurons to population bursts. Journal of computational neuroscience. 18 [PubMed]
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]
Rudnicki M, Hemmert W. (2017). High Entrainment Constrains Synaptic Depression Levels of an In vivo Globular Bushy Cell Model. Frontiers in computational neuroscience. 11 [PubMed]
Ruijter BJ, Hofmeijer J, Meijer HGE, van Putten MJAM. (2017). Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy: A computational study. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 128 [PubMed]
Rulkov NF, Timofeev I, Bazhenov M. (2004). Oscillations in large-scale cortical networks: map-based model. Journal of computational neuroscience. 17 [PubMed]
Schmerl BA, McDonnell MD. (2013). Channel noise induced stochastic facilitation in an auditory brainstem neuron model Physical review. E, Statistical, nonlinear, and soft matter physics. 88 [PubMed]
Sejnowski TJ, Steriade M, Timofeev I, Houweling AR, Bazhenov M. (1999). Cortical and thalamic components of augmenting responses: A modeling study Neurocomputing. 26-27
Song JL et al. (2019). A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy. Journal of computational neuroscience. 47 [PubMed]
Soudry D, Meir R. (2014). The neuronal response at extended timescales: a linearized spiking input-output relation. Frontiers in computational neuroscience. 8 [PubMed]
St-Hilaire M, Longtin A. (2004). Comparison of coding capabilities of Type I and Type II neurons. Journal of computational neuroscience. 16 [PubMed]
Steuber V, Jaeger D. (2013). Modeling the generation of output by the cerebellar nuclei. Neural networks : the official journal of the International Neural Network Society. 47 [PubMed]
Sun HY, Lyons SA, Dobrunz LE. (2005). Mechanisms of target-cell specific short-term plasticity at Schaffer collateral synapses onto interneurones versus pyramidal cells in juvenile rats. The Journal of physiology. 568 [PubMed]
Testa-Silva G et al. (2012). Hyperconnectivity and slow synapses during early development of medial prefrontal cortex in a mouse model for mental retardation and autism. Cerebral cortex (New York, N.Y. : 1991). 22 [PubMed]
Thomson AM. (2003). Presynaptic frequency- and pattern-dependent filtering. Journal of computational neuroscience. 15 [PubMed]
Torres JJ, Cortes JM, Marro J, Kappen HJ. (2007). Competition between synaptic depression and facilitation in attractor neural networks. Neural computation. 19 [PubMed]
Tsodyks M, Pawelzik K, Markram H. (1998). Neural networks with dynamic synapses. Neural computation. 10 [PubMed]
Tsodyks M, Uziel A, Markram H. (2000). Synchrony generation in recurrent networks with frequency-dependent synapses. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]
Urakubo H, Honda M, Froemke RC, Kuroda S. (2008). Requirement of an allosteric kinetics of NMDA receptors for spike timing-dependent plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]
Varela JA et al. (1997). A quantitative description of short-term plasticity at excitatory synapses in layer 2/3 of rat primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 17 [PubMed]
Vasilaki E, Giugliano M. (2014). Emergence of connectivity motifs in networks of model neurons with short- and long-term plastic synapses. PloS one. 9 [PubMed]
Versace M, Ames H, Léveillé J, Fortenberry B, Gorchetchnikov A. (2008). KInNeSS: a modular framework for computational neuroscience. Neuroinformatics. 6 [PubMed]
Wang XJ, Liu Y, Sanchez-Vives MV, McCormick DA. (2003). Adaptation and temporal decorrelation by single neurons in the primary visual cortex. Journal of neurophysiology. 89 [PubMed]
Westover MB, Fischer BJ. (2003). The neural multiple access channel. Neurocomputing. 52-54
Yang Z, Hennig MH, Postlethwaite M, Forsythe ID, Graham BP. (2009). Wide-band information transmission at the calyx of Held. Neural computation. 21 [PubMed]
Zsiros V, Aradi I, Maccaferri G. (2007). Propagation of postsynaptic currents and potentials via gap junctions in GABAergic networks of the rat hippocampus. The Journal of physiology. 578 [PubMed]