Citations for Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015)

Legends: Link to a Model Reference cited by multiple papers


Rössert C, Dean P, Porrill J (2015) At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters. PLoS Comput Biol 11:e1004515 [PubMed]

References and models cited by this paper

References and models that cite this paper

Albus JS (1971) A theory of cerebellar function Math Biosci 10:25-61
Arenz A, Silver RA, Schaefer AT, Margrie TW (2008) The contribution of single synapses to sensory representation in vivo. Science 321:977-80 [Journal] [PubMed]
Barmack NH, Yakhnitsa V (2008) Functions of interneurons in mouse cerebellum. J Neurosci 28:1140-52 [Journal] [PubMed]
Bengtsson F, Jörntell H (2009) Sensory transmission in cerebellar granule cells relies on similarly coded mossy fiber inputs. Proc Natl Acad Sci U S A 106:2389-94 [Journal] [PubMed]
Buonomano DV, Maass W (2009) State-dependent computations: spatiotemporal processing in cortical networks. Nat Rev Neurosci 10:113-25 [Journal] [PubMed]
Buonomano DV, Mauk MD (1994) Neural network model of the cerebellum: temporal discrimination and the timing of motor responses Neural Comput 6:38-55
Büsing L, Schrauwen B, Legenstein R (2010) Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons. Neural Comput 22:1272-311 [Journal] [PubMed]
Cesana E, Pietrajtis K, Bidoret C, Isope P, D'Angelo E, Dieudonné S, Forti L (2013) Granule cell ascending axon excitatory synapses onto Golgi cells implement a potent feedback circuit in the cerebellar granular layer. J Neurosci 33:12430-46 [Journal] [PubMed]
Cheron G, Escudero M, Godaux E (1996) Discharge properties of brain stem neurons projecting to the flocculus in the alert cat. I. Medical vestibular nucleus. J Neurophysiol 76:1759-74 [Journal] [PubMed]
De Zeeuw CI, Wylie DR, Stahl JS, Simpson JI (1995) Phase relations of Purkinje cells in the rabbit flocculus during compensatory eye movements. J Neurophysiol 74:2051-64 [Journal] [PubMed]
Dean DP,Jorntell DH,Porrill DJ (2013) Adaptive Filter Models Handbook of the Cerebellum and Cerebellar Disorders, Manto M:Schmahmann JD:Rossi F:Gruol DL:Koibuchi N, ed. pp.1315
Dean P, Anderson S, Porrill J, Jörntell H (2013) An adaptive filter model of cerebellar zone C3 as a basis for safe limb control? J Physiol 591:5459-74 [Journal] [PubMed]
Dean P, Porrill J, Ekerot CF, Jörntell H (2010) The cerebellar microcircuit as an adaptive filter: experimental and computational evidence. Nat Rev Neurosci 11:30-43 [Journal] [PubMed]
Dean P, Porrill J, Stone JV (2002) Decorrelation control by the cerebellum achieves oculomotor plant compensation in simulated vestibulo-ocular reflex. Proc Biol Sci 269:1895-904 [Journal] [PubMed]
Dominey PF (1995) Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning. Biol Cybern 73:265-74 [PubMed]
Ekerot CF, Jörntell H (2003) Parallel fiber receptive fields: a key to understanding cerebellar operation and learning. Cerebellum 2:101-9 [PubMed]
Ekerot CF, Jörntell H (2008) Synaptic integration in cerebellar granule cells. Cerebellum 7:539-41 [Journal] [PubMed]
Flace P, Benagiano V, Lorusso L, Girolamo F, Rizzi A, Virgintino D, Roncali L, Ambrosi G (2004) Glutamic acid decarboxylase immunoreactive large neuron types in the granular layer of the human cerebellar cortex. Anat Embryol (Berl) 208:55-64 [Journal] [PubMed]
Fujita M (1982) Adaptive filter model of the cerebellum. Biol Cybern 45:195-206 [PubMed]
Gao Z, van Beugen BJ, De Zeeuw CI (2012) Distributed synergistic plasticity and cerebellar learning. Nat Rev Neurosci 13:619-35 [Journal] [PubMed]
Hensbroek RA, Vanbeugen BJ, Ruigrok TJ, simpson JI (2006) Spike modulation of unipolar brush cells and granule cells in the cerebellum of the awake rabbit SocietyforNeuroscience Prog. No. 740.2
Hill T,Lewicki P (2005) Statistics: Methods and Applications
Holt G (1998) A Critical Reexamination of Some Assumptions and Implications of Cable Theory in Neurobiology. PhD thesis [Journal]
  • Extracellular Action Potential Simulations (Gold et al 2007) [Model]
Holtzman T, Sivam V, Zhao T, Frey O, van der Wal PD, de Rooij NF, Dalley JW, Edgley SA (2011) Multiple extra-synaptic spillover mechanisms regulate prolonged activity in cerebellar Golgi cell-granule cell loops. J Physiol 589:3837-54 [Journal] [PubMed]
Honda T, Yamazaki T, Tanaka S, Nagao S, Nishino T (2011) Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer. PLoS Comput Biol 7:e1002087 [Journal] [PubMed]
Honda T,Yamazaki T,Tanaka S,Nishino TA (2010) A Possible Mechanism for Controlling Timing Representation in the Cerebellar Cortex Advances in Neural Networks— ISNN 2010, Zhang L:Lu BL:Kwok J, ed. pp.67
Houck BD, Person AL (2014) Cerebellar loops: a review of the nucleocortical pathway. Cerebellum 13:378-85 [Journal] [PubMed]
Isope P, Barbour B (2002) Properties of unitary granule cell-->Purkinje cell synapses in adult rat cerebellar slices. J Neurosci 22:9668-78 [PubMed]
Ito M (2012) Cerebellum: The Brain for an Implicit Self.
Jaeger H (2001) The echo state approach to analyzing and training recurrent neural networks GMD Report 148
Jaeger H, Haas H (2004) Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication. Science 304:78-80 [Journal] [PubMed]
Johansson F, Jirenhed DA, Rasmussen A, Zucca R, Hesslow G (2014) Memory trace and timing mechanism localized to cerebellar Purkinje cells. Proc Natl Acad Sci U S A 111:14930-4 [Journal] [PubMed]
Jörntell H, Ekerot CF (2002) Reciprocal bidirectional plasticity of parallel fiber receptive fields in cerebellar Purkinje cells and their afferent interneurons. Neuron 34:797-806 [PubMed]
Jörntell H, Ekerot CF (2006) Properties of somatosensory synaptic integration in cerebellar granule cells in vivo. J Neurosci 26:11786-97 [Journal] [PubMed]
Koch C (1998) Biophysics of Computation: Information Processing in Single Neurons
Koch C, Rapp M, Segev I (1996) A brief history of time (constants). Cereb Cortex 6:93-101 [PubMed]
Lainé J, Axelrad H (2002) Extending the cerebellar Lugaro cell class. Neuroscience 115:363-74 [PubMed]
Laje R, Buonomano DV (2013) Robust timing and motor patterns by taming chaos in recurrent neural networks. Nat Neurosci 16:925-33 [Journal] [PubMed]
Legenstein R, Maass W (2007) Edge of chaos and prediction of computational performance for neural circuit models. Neural Netw 20:323-34 [Journal] [PubMed]
Legenstein R,Maass W (2007) What makes a dynamical system computationally powerful New Dir Stat Signal Process Syst Brain :127-154
Lepora NF, Porrill J, Yeo CH, Dean P (2010) Sensory prediction or motor control? Application of marr-albus type models of cerebellar function to classical conditioning. Front Comput Neurosci 4:140 [Journal] [PubMed]
Li WK, Hausknecht MJ, Stone P, Mauk MD (2013) Using a million cell simulation of the cerebellum: network scaling and task generality. Neural Netw 47:95-102 [Journal] [PubMed]
Lisberger SG, Fuchs AF (1978) Role of primate flocculus during rapid behavioral modification of vestibuloocular reflex. II. Mossy fiber firing patterns during horizontal head rotation and eye movement. J Neurophysiol 41:764-77 [Journal] [PubMed]
Lukoševicius M (2012) A Practical Guide to Applying Echo State Networks Neural Networks: Tricks of the Trade, Montavon G:Orr GB:Muller KR, ed. pp.659
Lukoševicius M,Jaeger H,Schrauwen B (2012) Reservoir Computing Trends KI—Ku¨nstl Intell 26:365-371
Maass W, Natschläger T, Markram H (2002) Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput 14:2531-60 [Journal] [PubMed]
Mapelli L, Rossi P, Nieus T, D'Angelo E (2009) Tonic activation of GABAB receptors reduces release probability at inhibitory connections in the cerebellar glomerulus. J Neurophysiol 101:3089-99 [Journal] [PubMed]
Marr D (1969) A theory of cerebellar cortex. J Physiol 202:437-70 [PubMed]
Masoli S, Solinas S, D'Angelo E (2015) Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization. Front Cell Neurosci 9:47 [Journal] [PubMed]
  • A detailed Purkinje cell model (Masoli et al 2015) [Model]
Mauk MD, Donegan NH (1997) A model of Pavlovian eyelid conditioning based on the synaptic organization of the cerebellum. Learn Mem 4:130-58 [PubMed]
McCrea RA, Bishop GA, Kitai ST (1978) Morphological and electrophysiological characteristics of projection neurons in the nucleus interpositus of the cat cerebellum. J Comp Neurol 181:397-419 [Journal] [PubMed]
Medina JF, Garcia KS, Nores WL, Taylor NM, Mauk MD (2000) Timing mechanisms in the cerebellum: testing predictions of a large-scale computer simulation. J Neurosci 20:5516-25 [PubMed]
Medina JF, Mauk MD (1999) Simulations of cerebellar motor learning: computational analysis of plasticity at the mossy fiber to deep nucleus synapse. J Neurosci 19:7140-51 [PubMed]
Medina JF, Mauk MD (2000) Computer simulation of cerebellar information processing. Nat Neurosci 3 Suppl:1205-11 [Journal] [PubMed]
Mugnaini E, Sekerková G, Martina M (2011) The unipolar brush cell: a remarkable neuron finally receiving deserved attention. Brain Res Rev 66:220-45 [Journal] [PubMed]
Nakano T, Otsuka M, Yoshimoto J, Doya K (2015) A spiking neural network model of model-free reinforcement learning with high-dimensional sensory input and perceptual ambiguity. PLoS One 10:e0115620 [Journal] [PubMed]
  • A spiking neural network model of model-free reinforcement learning (Nakano et al 2015) [Model]
Neki A, Ohishi H, Kaneko T, Shigemoto R, Nakanishi S, Mizuno N (1996) Metabotropic glutamate receptors mGluR2 and mGluR5 are expressed in two non-overlapping populations of Golgi cells in the rat cerebellum. Neuroscience 75:815-26 [PubMed]
Nieus TR, Mapelli L, D'Angelo E (2014) Regulation of output spike patterns by phasic inhibition in cerebellar granule cells. Front Cell Neurosci 8:246 [Journal] [PubMed]
Ostojic S (2014) Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons. Nat Neurosci 17:594-600 [Journal] [PubMed]
Pedregosa F,Varoquaux G,Gramfort A,Michel V,Thirion B,Grisel O,et al (2011) Scikit-learn: Machine Learning in Python J Mach Learn Res. 12:2825-2830
Porrill J, Dean P (2008) Silent synapses, LTP, and the indirect parallel-fibre pathway: computational consequences of optimal cerebellar noise-processing. PLoS Comput Biol 4:e1000085 [Journal] [PubMed]
Rancz EA, Ishikawa T, Duguid I, Chadderton P, Mahon S, Häusser M (2007) High-fidelity transmission of sensory information by single cerebellar mossy fibre boutons. Nature 450:1245-8 [Journal] [PubMed]
Reinhart RF,Steil JJ (2012) Regularization and stability in reservoir networks with output feedback Neurocomputing 90:96-105
Robinson DA (1989) Integrating with neurons. Annu Rev Neurosci 12:33-45 [Journal] [PubMed]
Rössert C, Solinas S, D'Angelo E, Dean P, Porrill J (2014) Model cerebellar granule cells can faithfully transmit modulated firing rate signals. Front Cell Neurosci 8:304 [Journal] [PubMed]
  • Information transmission in cerebellar granule cell models (Rossert et al. 2014) [Model]
Sadeghi SG, Chacron MJ, Taylor MC, Cullen KE (2007) Neural variability, detection thresholds, and information transmission in the vestibular system. J Neurosci 27:771-81 [Journal] [PubMed]
Solinas S, Nieus T, D'Angelo E (2010) A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties. Front Cell Neurosci 4:12 [Journal] [PubMed]
Steil JJ (20014) Backpropagation-decorrelation: online recurrent learning with O(N) complexity 2004 IEEE International Joint Conference on Neural Networks :843-848
Suarez H, Koch C, Douglas R (1995) Modeling direction selectivity of simple cells in striate visual cortex within the framework of the canonical microcircuit. J Neurosci 15:6700-19 [PubMed]
Sussillo D, Abbott LF (2009) Generating coherent patterns of activity from chaotic neural networks. Neuron 63:544-57 [Journal] [PubMed]
  • Generating coherent patterns of activity from chaotic neural networks (Sussillo and Abbott 2009) [Model]
Tibshirani R (1996) Regression shrinkage and selection via the LASSO J Roy Stat Soc B 58:267-288
Tibshirani R (2011) Regression shrinkage and selection via the lasso: a retrospective J R Stat Soc Ser B Stat Methodol. 73:273-282
Tolbert DL, Bantli H, Bloedel JR (1978) Organizational features of the cat and monkey cerebellar nucleocortical projection. J Comp Neurol 182:39-56 [Journal] [PubMed]
van Dorp S, De Zeeuw CI (2014) Variable timing of synaptic transmission in cerebellar unipolar brush cells. Proc Natl Acad Sci U S A 111:5403-8 [Journal] [PubMed]
Verstraeten D, Schrauwen B, D'Haene M, Stroobandt D (2007) An experimental unification of reservoir computing methods. Neural Netw 20:391-403 [Journal] [PubMed]
Wallace E, Maei HR, Latham PE (2013) Randomly connected networks have short temporal memory. Neural Comput 25:1408-39 [Journal] [PubMed]
Watanabe D, Nakanishi S (2003) mGluR2 postsynaptically senses granule cell inputs at Golgi cell synapses. Neuron 39:821-9 [PubMed]
Widrow B,Glover J,McCool JM,Kaunitz J,Williams CS,Hearn RH,et al (1975) Adaptive noise cancelling: Principles and applications Proc IEEE 63:1692-1716
Wulff P, Schonewille M, Renzi M, Viltono L, Sassoè-Pognetto M, Badura A, Gao Z, Hoebeek FE, van Dorp S, Wisden W, Farrant M, De Zeeuw CI (2009) Synaptic inhibition of Purkinje cells mediates consolidation of vestibulo-cerebellar motor learning. Nat Neurosci 12:1042-9 [Journal] [PubMed]
Wyffels F,Schrauwen B,Stroobandt D (2008) Stable Output Feedback in Reservoir Computing Using Ridge Regression Artificial Neural Networks—ICANN 2008, Kurková V:Neruda R:Koutník J, ed. pp.808
Yamazaki T, Nagao S (2012) A computational mechanism for unified gain and timing control in the cerebellum. PLoS One 7:e33319 [Journal] [PubMed]
  • Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012) [Model]
Yamazaki T, Tanaka S (2005) Neural modeling of an internal clock. Neural Comput 17:1032-58 [Journal] [PubMed]
  • Neural modeling of an internal clock (Yamazaki and Tanaka 2008) [Model]
Yamazaki T, Tanaka S (2007) The cerebellum as a liquid state machine. Neural Netw 20:290-7 [Journal] [PubMed]
Yamazaki T, Tanaka S (2007) A spiking network model for passage-of-time representation in the cerebellum. Eur J Neurosci 26:2279-92 [Journal] [PubMed]
  • Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012) [Model]
Yamazaki T, Tanaka S (2009) Computational models of timing mechanisms in the cerebellar granular layer. Cerebellum 8:423-32 [Journal] [PubMed]
Yamazaki T,Tanaka S (2005) Building the Cerebellum in a Computer Artificial Neural Networks: Biological Inspirations–ICANN 2005, Duch W:Kacprzyk J:Oja E:Zadrozny S, ed. pp.71
Zhang Y, Partsalis AM, Highstein SM (1993) Properties of superior vestibular nucleus neurons projecting to the cerebellar flocculus in the squirrel monkey. J Neurophysiol 69:642-5 [Journal] [PubMed]
Sudhakar SK, Hong S, Raikov I, Publio R, Lang C, Close T, Guo D, Negrello M, De Schutter E (2017) Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. PLoS Comput Biol 13:e1005754 [Journal] [PubMed]
  • Model of the cerebellar granular network (Sudhakar et al 2017) [Model]
(89 refs)