Citation Relationships



Eggert J, van Hemmen JL (2001) Modeling neuronal assemblies: theory and implementation. Neural Comput 13:1923-74 [PubMed]

References and models cited by this paper

References and models that cite this paper

Cowan JD (1991) Stochastic neurodynamics. Advances in neural information processing systems., Touretzky D:Lippmann R, ed. pp.62

Eggert J, van Hemmen JL (2000) Unifying framework for neuronal assembly dynamics. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 61:1855-74 [PubMed]

Ermentrout GB, Cowan JD (1979) A mathematical theory of visual hallucination patterns. Biol Cybern 34:137-50 [PubMed]

Ermentrout GB, Cowan JD (1979) Temporal oscillations in neuronal nets. J Math Biol 7:265-80 [PubMed]

Ermentrout GB, Cowan JD (1980) Large scale spatially organized activity in neural nets. Siam J Appl Math 38:1-21

Fargue D (1973) Reductibilite des systemes hereditaires a des syst emes dynamiques. Compt Rend Acad Sci B277:471-473

Fargue D (1974) Reductibilite des systemes hereditaires. Int J Non-linear Mechanics 9:331-338

Feldman JL, Cowan JD (1975) Large-scale activity in neural nets I: Theory with application to motoneuron pool responses. Biol Cybern 17:29-38 [PubMed]

Gerstner W (1990) Associative memory in a network of biological neurons. Advances in neural information processing systems, Lippmann RP:Moody JE:Touretzky DS, ed. pp.84

Gerstner W (1995) Time structure of the activity in neural network models. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 51:738-758 [PubMed]

Gerstner W (1999) Spiking neurons Pulsed Neural Networks, Mass W:Bishop CM, ed. pp.3

Gerstner W, Hemmen VANJL (1992) Associative memory in a network of spiking neurons Network 3:139-164

Gerstner W, van Hemmen JL (1994) Coding and information processing in neural networks. Models Of Neural Networks, Domany E:van Hemmen JL:Schulten K, ed. pp.1

Gerstner W, van Hemmen JL, Cowan JD (1996) What matters in neuronal locking? Neural Comput 8:1653-76 [PubMed]

Gewaltig MO (1999) Evolutionof synchronous spike volleys in cortical networks Network simulations and continuous probabilistic models. Unpublished doctoral dissertation.

Kistler WM, Gerstner W, van Hemmen JL (1997) Reduction of Hodgkin-Huxley equations to a single-variable threshold model. Neural Comput 9:1015-1045

Kistler WM, Seitz R, Van_hemmen JL (1998) Modelling collective excitations in cortical tissue. Physica D 114:273-295

Knight BW (2000) Dynamics of encoding in neuron populations: some general mathematical features. Neural Comput 12:473-518 [PubMed]

Knight BW, Omurtag A, Sirovich L (2000) The approach of a neuron population firing rate to a new equilibrium: an exact theoretical result. Neural Comput 12:1045-55 [PubMed]

Lamperti J (1966) Probability.

Mainen ZF, Sejnowski TJ (1995) Reliability of spike timing in neocortical neurons. Science 268:1503-6 [PubMed]

Nykamp DQ, Tranchina D (2000) A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning. J Comput Neurosci 8:19-50 [PubMed]

Omurtag A, Knight BW, Sirovich L (2000) On the simulation of large populations of neurons. J Comput Neurosci 8:51-63 [PubMed]

Sirovich L, Knight BW, Omurtag A (2000) Dynamics of neuronal populations: The equilibrium solution. Siam J Applied Math 60:2009-2028

Tuckwell HC (1988) Introduction to Theoretical Neurobiology. Volume 2: Nonlinear and Stochastic Theories

Wilson HR, Cowan JD (1972) Excitatory and inhibitory interactions in localized populations of model neurons. Biophys J 12:1-24 [Journal] [PubMed]

   Excitatory and inhibitory interactions in populations of model neurons (Wilson and Cowan 1972) [Model]

Wilson HR, Cowan JD (1973) A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue. Kybernetik 13:55-80 [PubMed]

Golomb D, Ahissar E, Kleinfeld D (2006) Coding of stimulus frequency by latency in thalamic networks through the interplay of GABAB-mediated feedback and stimulus shape. J Neurophysiol 95:1735-50 [Journal] [PubMed]

   Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005) [Model]

(28 refs)