Citation Relationships



Markram H, Wang Y, Tsodyks M (1998) Differential signaling via the same axon of neocortical pyramidal neurons. Proc Natl Acad Sci U S A 95:5323-8 [PubMed]

References and models cited by this paper

References and models that cite this paper

Aguiar P, Willshaw D (2004) Hippocampal mossy fibre boutons as dynamical synapses Neurocomputing 58:699-703

Barak O, Tsodyks M (2007) Persistent activity in neural networks with dynamic synapses. PLoS Comput Biol 3:e35 [Journal] [PubMed]

Barros-Zulaica N, Rahmon J, Chindemi G, Perin R, Markram H, Muller E, Ramaswamy S (2019) Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex Frontiers in Synaptic Neuroscience 11:29 [Journal]

  • The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]

Bieda MC, Copenhagen DR (2000) Inhibition is not required for the production of transient spiking responses from retinal ganglion cells. Vis Neurosci 17:243-54 [PubMed]

Booth V, Bose A (2002) Burst synchrony patterns in hippocampal pyramidal cell model networks. Network 13:157-77 [PubMed]

Brette R, Goodman DF (2011) Vectorized algorithms for spiking neural network simulation. Neural Comput 23:1503-35 [Journal] [PubMed]

  • Vectorized algorithms for spiking neural network simulation (Brette and Goodman 2011) [Model]

Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM, Diesmann M, Morrison A, Goodman PH, Harris FC, Zirpe M, Natschläger T, Pecevski D, Ermentrout B, Djurfeldt M, Lansner A, Rochel O, Vieville T, Muller E, Davison AP, El Boustani S, Destexhe A (2007) Simulation of networks of spiking neurons: a review of tools and strategies. J Comput Neurosci 23:349-98 [Journal] [PubMed]

  • Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007) [Model]
  • Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Budd JM (2005) Theta oscillations by synaptic excitation in a neocortical circuit model. Proc Biol Sci 272:101-9 [Journal] [PubMed]

Buonomano DV (2000) Decoding temporal information: A model based on short-term synaptic plasticity. J Neurosci 20:1129-41 [PubMed]

Clopath C, Ziegler L, Vasilaki E, Büsing L, Gerstner W (2008) Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. PLoS Comput Biol 4:e1000248 [Journal] [PubMed]

  • Tag Trigger Consolidation (Clopath and Ziegler et al. 2008) [Model]

Costa RP, Froemke RC, Sjöström PJ, van Rossum MC (2015) Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning. Elife [Journal] [PubMed]

  • Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015) [Model]

Costa RP, Sjöström PJ, van Rossum MC (2013) Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits. Front Comput Neurosci 7:75 [Journal] [PubMed]

  • Prob. Inference of Short-Term Synaptic Plasticity in Neocort. Microcircuits (Costa et al. 2013) [Model]

David F, Courtiol E, Buonviso N, Fourcaud-Trocmé N (2015) Competing Mechanisms of Gamma and Beta Oscillations in the Olfactory Bulb Based on Multimodal Inhibition of Mitral Cells Over a Respiratory Cycle. eNeuro [Journal] [PubMed]

  • Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015) [Model]

Durstewitz D, Gabriel T (2007) Dynamical basis of irregular spiking in NMDA-driven prefrontal cortex neurons. Cereb Cortex 17:894-908 [Journal] [PubMed]

  • Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006) [Model]

Ermentrout GB, Terman DH (2010) Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics, Antman SS:Marsden JE:Sirovich L:Wiggins, ed. pp.1 [Journal]

  • Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010) [Model]

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. Front Comput Neurosci 8:175 [Journal] [PubMed]

  • Adaptation of Short-Term Plasticity parameters (Esposito et al. 2015) [Model]

Farokhniaee A, McIntyre CC (2019) Theoretical principles of deep brain stimulation induced synaptic suppression. Brain Stimul 12:1402-1409 [Journal] [PubMed]

  • Theoretical principles of DBS induced synaptic suppression (Farokhniaee & McIntyre 2019) [Model]

Fountas Z, Shanahan M (2017) The role of cortical oscillations in a spiking neural network model of the basal ganglia. PLoS One 12:e0189109 [Journal] [PubMed]

  • Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017) [Model]

Fuhrmann G, Segev I, Markram H, Tsodyks M (2002) Coding of temporal information by activity-dependent synapses. J Neurophysiol 87:140-8 [Journal] [PubMed]

Gabbiani F, Cox SJ (2010) Mathematics for Neuroscientists :1-486 [Journal]

  • Mathematics for Neuroscientists (Gabbiani and Cox 2010) [Model]

Gidon A, Segev I (2012) Principles governing the operation of synaptic inhibition in dendrites. Neuron 75:330-41 [Journal] [PubMed]

  • Principles governing the operation of synaptic inhibition in dendrites (Gidon & Segev 2012) [Model]

Goodman DFM, Brette R (2013) Brian simulator Scholarpedia 8(1):10883 [Journal]

Haeusler S, Maass W (2007) A statistical analysis of information-processing properties of lamina-specific cortical microcircuit models. Cereb Cortex 17:149-62 [Journal] [PubMed]

  • Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006) [Model]

Haeusler S, Markram H, Maass W (2003) Perspectives of the high dimensional dynamics of neural microcircuits from the point of view of low dimensional readouts. Complexity (special issue on Complex Adaptive Systems) 8(4):39-50 [Journal]

  • High dimensional dynamics and low dimensional readouts in neural microcircuits (Haeusler et al 2006) [Model]

Hass J, Hertäg L, Durstewitz D (2016) A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity. PLoS Comput Biol 12:e1004930 [Journal] [PubMed]

  • A detailed data-driven network model of prefrontal cortex (Hass et al 2016) [Model]

Hayut I, Fanselow EE, Connors BW, Golomb D (2011) LTS and FS inhibitory interneurons, short-term synaptic plasticity, and cortical circuit dynamics. PLoS Comput Biol 7:e1002248 [Journal] [PubMed]

  • Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011) [Model]

Houweling AR, Bazhenov M, Timofeev I, Grenier F, Steriade M, Sejnowski TJ (2002) Frequency-selective augmenting responses by short-term synaptic depression in cat neocortex. J Physiol 542:599-617 [PubMed]

Houweling AR, Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ (1999) Cortical and thalamic components of augmenting responses: A modeling study Neurocomputing 26-27:735-742

Jalil S, Grigull J, Skinner FK (2004) Novel bursting patterns emerging from model inhibitory networks with synaptic depression. J Comput Neurosci 17:31-45 [Journal] [PubMed]

Joshi P, Maass W (2005) Movement generation with circuits of spiking neurons. Neural Comput 17:1715-38 [Journal] [PubMed]

Karmarkar UR, Buonomano DV (2007) Timing in the absence of clocks: encoding time in neural network states. Neuron 53:427-38 [Journal] [PubMed]

Klaus A, Planert H, Hjorth J, Berke JD, Silberberg G, Kotaleski JH (2011) Striatal fast-spiking interneurons: from firing patterns to postsynaptic impact Front. Syst. Neurosci. [Journal]

  • Firing patterns in stuttering fast-spiking interneurons (Klaus et al. 2011) [Model]

Knüsel P, Wyss R, König P, Verschure PF (2004) Decoding a temporal population code. Neural Comput 16:2079-100 [Journal] [PubMed]

Körding KP, König P (2001) Supervised and unsupervised learning with two sites of synaptic integration. J Comput Neurosci 11:207-15 [Journal] [PubMed]

Laing CR, Chow CC (2002) A spiking neuron model for binocular rivalry. J Comput Neurosci 12:39-53 [PubMed]

Lee CC, Anton M, Poon CS, McRae GJ (2009) A kinetic model unifying presynaptic short-term facilitation and depression. J Comput Neurosci 26:459-73 [Journal] [PubMed]

  • A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009) [Model]

Legenstein R, Naeger C, Maass W (2005) What can a neuron learn with spike-timing-dependent plasticity? Neural Comput 17:2337-82 [Journal] [PubMed]

Legenstein R, Pecevski D, Maass W (2008) A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. PLoS Comput Biol 4:e1000180 [Journal] [PubMed]

  • Reward modulated STDP (Legenstein et al. 2008) [Model]

Lonardoni D, Amin H, Di Marco S, Maccione A, Berdondini L, Nieus T (2017) Recurrently connected and localized neuronal communities initiate coordinated spontaneous activity in neuronal networks. PLoS Comput Biol 13:e1005672 [Journal] [PubMed]

Maass W, Joshi P, Sontag ED (2006) Principles of real-time computing with feedback applied to cortical microcircuit models. Advances in Neural Information Processing Systems

  • Computational aspects of feedback in neural circuits (Maass et al 2006) [Model]

Maass W, Joshi P, Sontag ED (2007) Computational aspects of feedback in neural circuits. PLoS Comput Biol 3:e165 [Journal] [PubMed]

  • Computational aspects of feedback in neural circuits (Maass et al 2006) [Model]

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. J Neurophysiol 97:2863-74 [Journal] [PubMed]

Markram H, Muller E, Ramaswamy S, Reimann MW, Abdellah M, Sanchez CA, Ailamaki A, Alonso-Nanclares L, Antille N, Arsever S, Kahou GA, Berger TK, Bilgili A, Buncic N, Chalimourda A, Chindemi G, Courcol JD, Delalondre F, Delattre V, Druckmann S, Dumusc R, Dynes J, Eilemann S, Gal E, Gevaert ME, Ghobril JP, Gidon A, Graham JW, Gupta A, Haenel V, Hay E, Heinis T, Hernando JB, Hines M, Kanari L, Keller D, Kenyon J, Khazen G, Kim Y, King JG, Kisvarday Z, Kumbhar P, Lasserre S, Le Bé JV, Magalhães BR, Merchán-Pérez A, Meystre J, Morrice BR, Muller J, Muñoz-Céspedes A, Muralidhar S, Muthurasa K, Nachbaur D, Newton TH, Nolte M, Ovcharenko A, Palacios J, Pastor L, Perin R, Ranjan R, Riachi I, Rodríguez JR, Riquelme JL, Rössert C, Sfyrakis K, Shi Y, Shillcock JC, Silberberg G, Silva R, Tauheed F, Telefont M, Toledo-Rodriguez M, Tränkler T, Van Geit W, Díaz JV, Walker R, Wang Y, Zaninetta SM (2015) Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:456-92 [Journal] [PubMed]

  • The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]

Masquelier T, Deco G (2013) Network bursting dynamics in excitatory cortical neuron cultures results from the combination of different adaptive mechanisms. PLoS One 8:e75824 [Journal] [PubMed]

  • Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013) [Model]

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. J Physiol Paris 100:1-15 [Journal] [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. J Comput Neurosci 18:323-31 [Journal] [PubMed]

Richert M, Nageswaran JM, Dutt N, Krichmar JL (2011) An efficient simulation environment for modeling large-scale cortical processing. Front Neuroinform 5:19 [Journal] [PubMed]

  • Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011) [Model]

Romani S, Amit DJ, Mongillo G (2006) Mean-field analysis of selective persistent activity in presence of short-term synaptic depression. J Comput Neurosci 20:201-17 [Journal] [PubMed]

Rudolph M, Destexhe A (2006) Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural Comput 18:2146-210 [Journal] [PubMed]

Rudolph M, Destexhe A (2006) Event-based simulation strategy for conductance-based synaptic interactions and plasticity Neurocomputing 69:1130-1133

Sussillo D, Toyoizumi T, Maass W (2007) Self-tuning of neural circuits through short-term synaptic plasticity. J Neurophysiol 97:4079-95 [Journal] [PubMed]

Testa-Silva G, Loebel A, Giugliano M, de Kock CP, Mansvelder HD, Meredith RM (2012) Hyperconnectivity and slow synapses during early development of medial prefrontal cortex in a mouse model for mental retardation and autism. Cereb Cortex 22:1333-42 [Journal] [PubMed]

  • Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011) [Model]

Thomson AM (2003) Presynaptic frequency- and pattern-dependent filtering. J Comput Neurosci 15:159-202 [PubMed]

Torres JJ, Cortes JM, Marro J, Kappen HJ (2007) Competition between synaptic depression and facilitation in attractor neural networks. Neural Comput 19:2739-55 [Journal] [PubMed]

Tsodyks M, Pawelzik K, Markram H (1998) Neural networks with dynamic synapses. Neural Comput 10:821-35 [Journal] [PubMed]

  • Synaptic plasticity: pyramid->pyr and pyr->interneuron (Tsodyks et al 1998) [Model]

Tsodyks M, Uziel A, Markram H (2000) Synchrony generation in recurrent networks with frequency-dependent synapses. J Neurosci 20:RC50 [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:e84626 [Journal] [PubMed]

  • Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014) [Model]

Yang Z, Hennig MH, Postlethwaite M, Forsythe ID, Graham BP (2009) Wide-band information transmission at the calyx of Held. Neural Comput 21:991-1017 [Journal] [PubMed]

  • Calyx of Held, short term plasticity (Yang Z et al. 2009) [Model]

(58 refs)