A multi-timescale adaptive threshold model for the SAI tactile afferent to predict response to mechanical vibration

2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011

Volumn , Issue , 2011, Pages 152-155

  Jahangiri, Anila F ^a   Gerling, Gregory J ^a  

^a University of Virginia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIALS; ADAPTIVE THRESHOLDS; CORTICAL NEURONS; CURRENT LIMITATION; FIXED THRESHOLD; INTEGRATE-AND-FIRE MODEL; MECHANICAL VIBRATIONS; MECHANORECEPTORS; MECHANOTRANSDUCTION; NEURAL DATA; SPIKE TIMING; SPIKING NEURON;

MODELS;

VIBRATIONS (MECHANICAL);

EID: 79960343134     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NER.2011.5910511     Document Type: Conference Paper

References (21)

1. A. W. Freeman and K. O. Johnson, Cutaneous mechanoreceptors in macaque monkey: Temporal discharge patterns evoked by vibration, and a receptor model. J. Physiol. 323, pages 21-41 1982.
2. P. Slavik and J. Bell, A mechanoreceptor model for rapidly and slowly adapting afferents subjected to periodic vibratory stimuli. Mathematical Biosciences. 130, pages 1-23, 1995.
3. F. J. Looft, Response of monkey glabrous skin mechanoreceptors to random noise sequences. II. Dynamic Stimulus State Analysis, Somatosens Motor Res. Vol. 13, No. 1, pages 11-28, 1996.
4. S. Bensmaia, A transduction model of the Meissner corpuscle. Mathematical Biosciences, 176, pages 203-217, 2002.
5. D. R. Lesniak and G. J. Gerling. Predicting SA-I mechanoreceptor spike times with a skin-neuron model. Mathematical Biosciences, Vol. 220, pages 15-23, 2009.
6. E. K. Kim, G. J. Gerling, S. A. Wellnitz and E. A. Lumpkin. Using force sensors and neural models to encode tactile stimuli as spikebased responses. IEEE Haptics Symposium, pages 195-198, 2010.
7. S. S. Kim, A. P. Sripati and S. J. Bensmaia, Predicting the timing of Spikes Evoked by Tactile Stimulation of the Hand. J Neurophysiol, Vol. 104, pages 1484-1496, 2010.
8. O. Macherey, R. P. Carlyon, A. V. Wieringen and J. Wouters. A dualprocess integrator-resonator model of the electrically stimulated human auditory nerve. JARO, 8, pages 84-104, 2007.
9. A. L. Hodgkin and A. F. Huxley, A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. I7, pages 500-544, 1952.
10. R. Fitzhugh, Impulses and physiological states in theoretical models of nerve membrane. Biophysical Journal, Vol. 1, pages 445-466, 1961.
11. E. M. Izhikevich, Simple model of spiking neurons. IEEE Transactions on Neural Networks, Vol. 14, No. 6, pages 1569-1572, November 2003.
12. R. Brette and W. Gerstner, Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J Neurophysiol 94:3637-3642, July 2005.
13. L. F. Abbott and T. B. Kepler, Model Neurons: From Hodgkin-Huxley to Hopfield. Pages 5-18.
14. F. J. Looft and D. T. Blake, A variable threshold mechanoreceptor model. Unpublished, January 2007.
15. R. Kobayashi, Y. Tsubo and S. Shinomoto, Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers in Computational Neuroscience, Vol. 3, Article 9:1-11, July 2009.
16. W. Gerstner and R. Naud, How good Are neuron models? Science Vol. 326, pages 379-380, 2009.
17. S. Jia, P. Dallos and D. Z. Z. He, Mechanoelectric Transduction of adult inner hair cells. The Journal of Neuroscience, Vol. 27 (5), pages 1006-1014, 2007.
18. R. Jolivet, Timothy J. Lewis, and W. Gerstner, Generalized integrateand-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy, J Neurophysiol 92:959-976, 2004.
19. R. Jolivet, F. Schürmann, T. K. Berger, R. Naud, W. Gerstner and A. Roth, The quantitative single-neuron modeling competition, Biol Cybern 99:417-426, 2008.
20. M. Sarangdhar and C. Kambhampati, Spiking Neurons: Is coincidence-factor enough for comparing responses with fluctuating membrane voltage? Proceedings of the World Congress on Engineering Vol II 2008.
21. D. I. Standage and T. P. Trappenberg, Differences in the subthreshold dynamics of leaky integrate-and-fire and Hodgkin-Huxley neuron models. Proceedings of International Joint Conference on Neural Networks, Montreal, Canada, pages 396-399, 2005.