The spatial properties of a model neuron increase its coding range

Biological Cybernetics

Volumn 81, Issue 2, 1999, Pages 161-167

  Lánský, Petr ^a   Rodriguez, Roger ^b  

^a INSTITUTE OF PHYSIOLOGY   (Czech Republic)

^b CENTRE DE PHYSIQUE THÉORIQUE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; NERVE CELL; PHYSIOLOGY;

MODELS, NEUROLOGICAL; NEURONS;

EID: 0033173643     PISSN: 03401200     EISSN: None     Source Type: Journal    
DOI: 10.1007/s004220050552     Document Type: Article

References (25)

1. Ahissar E (1998) Temporal-code to rate-code conversion by neuronal phase-locked loops. Neural Comput 10:597-650
2. Bressloff PC (1995) Dynamics of compartmental model integrate-and-fire neuron with somatic potential reset. Physica D 80:399-412
3. Bugmann G, Christodoulou C, Taylor JG (1997) Role of temporal integration and fluctuation detection in the highly irregular firing of a leaky integrator neuron model with partial reset. Neural Comput 9:985-1000
4. Deco G, Schürmann B (1998) Stochastic resonance in the mutual information between input and output spike trains of noisy central neurons. Physica D 117:276-282
5. Eggermont JJ (1990) The correlative brain. Springer, Berlin Heidelberg New York
6. Fohlmeister J (1979) A theoretical study of neural adaptation and transient response due to inhibitory feedback. Bull Math Biol 41:257-282
7. Gerstner W, van Hemmen JL (1992) Universality in neural networks: the importance of the 'mean firing rate'. Biol Cybern 67:195-205
8. Hansel D, Mato G, Meunier C, Neltner L (1998) On numerical simulation of integrate-and-fire neural networks. Neural Comput 10:467-483
9. Knight BW (1972) Dynamics of encoding in a population of neurons. J Gen Physiol 59:734-766
10. Kohn AF (1989) Dendritic transformations on random synaptic inputs as measured from a neuron's spike train - modeling and simulation. IEEE Trans Biomed Eng 36:44-54
11. Lánský P (1997) Neuronal coding. BioSystems 40:1-218
12. Lánský P, Musila M (1991) Variable initial depolarization in the Stein's neuronal model with synaptic reversal potentials. Biol Cybern 64:285-291
13. Lánský P, Rospars JP (1995) Ornstein-Uhlenbeck model neuron revisited. Biol Cybern 72:397-406
14. Lánský P, Smith CE (1989) The effect of random initial value in neuronal first-passage-time models. Math Biosci 93:191-215
15. Perkel DH, Bullock TH (1968) Neural coding. Neurosci Res Prog Bull 6:221-348
16. Plesser HE, Tanaka S (1997) Stochastic resonance in a model neuron with reset. Phys Lett A 225:228-234
17. Rospars J-P (1997) Neuronal coding. BioSystems 48:1-306
18. Rospars J-P, Lánský P (1993) Stochastic model neuron without resetting of dendritic potential. Application to the olfactory system. Biol Cybern 69:283-294
19. Rospars J-P, Lánský P, Tuckwell HC, Vermeulen A (1996) Coding of odor intensity in a steady-state deterministic model of the olfactory receptor neuron. J Comput Neurosci 3:51-72
20. Scharstein H (1979) Input-output relationship of the leaky-integrator neuron model. J Math Biol 8:403-420
21. Segev I (1992) Single neuron models: oversimple, complex and reduced. Trends Neurosci 15:414-421
22. Tal D, Schwartz EL (1997) Computing with the leaky integrate-and-fire neuron: logarithmic computation and multiplication. Neural Comput 9:305-318
23. Theunissen F, Miller JP (1995) Temporal encoding in nervous systems: a rigorous definition. J Comput Neurosci 2:149-162
24. Tuckwell HC (1988) Introduction to theoretical neurobiology. Cambridge University Press, Cambridge
25. Yu X, Lewis ER (1989) Studies with spike initiators: linearization by noise allows continuous signal modulation in neural networks. IEEE Trans Biomed Eng 36:36-43