Simultaneous rate-synchrony codes in populations of spiking neurons

Neural Computation

Volumn 18, Issue 1, 2006, Pages 45-59

  Masuda, Naoki ^a,b  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BRAIN; CORTICAL SYNCHRONIZATION; HUMAN; NERVE CELL; NERVE CELL NETWORK; NERVE TRACT; PERCEPTION; PHYSIOLOGY; SENSATION; SYNAPSE; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ANIMALS; BRAIN; CORTICAL SYNCHRONIZATION; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURAL PATHWAYS; NEURONS; PERCEPTION; SENSATION; SYNAPSES; SYNAPTIC TRANSMISSION;

EID: 33144486476     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/089976606774841521     Document Type: Article

References (32)

1. Abeles, M. (1991). Corticonics. Cambridge: Cambridge University Press.
2. Berry, M. J., Warland, D. K., & Meister, M. (1997). The structure and precision of retinal spike trains. Proc. Natl. Acad. Sci. USA, 94, 5411-5416.
3. Brunel, N. (2000). Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J. Comput. Neurosci., 8, 183-208.
4. Burkitt, A. N., & Clark, G. M. (2001). Synchronization of the neural response to noisy periodic synaptic input. Neural Comput., 13, 2639-2672.
5. Burkitt, A. N., Meffin, H., & Grayden, D. B. (2003). Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. Biol Cybern., 89, 119-125.
6. Chance, F. S., Abbott, L. F., & Reyes, A. D. (2002). Gain modulation from background synaptic input. Neuron, 35, 773-782.
7. de Oliveira, S. C., Thiele, A., & Hoffmann, K.-P. (1997). Synchronization of neuronal activity during stimulus expectation in a direction discrimination task. J. Neurosci., 17(23), 9248-9260.
8. Diesmann, M., Gewaltig, M.-O., & Aertsen, A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature, 402, 529-533.
9. Friedrich, R. W., Habermann, C. J., & Laurent, G. (2004). Multiplexing using synchrony in the zebrafish olfactory bulb. Nat. Neurosci., 7(8), 862-871.
10. Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001). Modulation of oscillatory neuronal synchronization by selective visual attention. Science, 291, 1560-1563.
11. Gerstner, W., & Kistler, W. M. (2002). Spiking neuron models. Cambridge: Cambridge University Press.
12. Herrmann, A., & Gerstner, W. (2001). Noise and the PSTH response to current transients: I. General theory and application to integrate-and-fire neuron. J. Comput. Neurosci., 11, 135-151.
13. Huxter, J., Burgess, N., & O'Keefe, J. (2003). Independent rate and temporal coding in hippocampal pyramidal cells. Nature, 425, 828-832.
14. Knight, B. W. (1972). Dynamics of encoding in a population of neurons, Journal of General Physiology, 59, 734-766.
15. Kuhn, A., Aertsen, A., & Rotter, S. (2004). Neuronal integration of synaptic input in the fluctuation-driven regime. J. Neurosci., 24(10), 2345-2356.
16. Lindner, B., & Schimansky-Geier, L. (2001). Transmission of noise coded versus additive signals through a neuronal ensemble. Phys. Rev. Lett., 86(14), 2934-2937.
17. Litvak, V., Sompolinsky, H., Segev, I., & Abeles, M. (2003). On the transmission of rate code in long feedforward networks with excitatory- inhibitory balance. J. Neurosci., 23(7), 3006-3015.
18. Mainen, Z. F., & Sejnowski, T. J. (1995). Reliability of spike timing in neocortical neurons, Science, 268, 1503-1506.
19. Masuda, N., & Aihara, K. (2002). Bridging rate coding and temporal spike coding by effect of noise. Phys. Rev. Lett., 88(24), 248101.
20. Masuda, N., & Aihara, K. (2003). Duality of rate coding and temporal spike coding in multilayered feedforward networks. Neural Comput., 15, 103-125.
21. Moreno, R., de la Rocha, J., Renart, A., & Parga, N. (2002). Response of spiking neurons to correlated inputs. Phys. Rev. Lett., 89(28), 288101.
22. Reyes, A. D. (2003). Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro. Nat. Neurosci., 6(6), 593-599.
23. Riehle, A., Grün, S., Diesmann, M., & Aertsen, A. (1997). Spike synchronization and rate modulation differently involved in motor cortical function. Science, 278, 1950-1953.
24. Rudolph, M., & Destexhe, A. (2003). The discharge variability of neocortical neurons during high-conductance states. Neuroscience, 119, 855-873.
25. Salinas, E., & Sejnowski, T. J. (2001). Correlated neuronal activity and the flow of neural information. Nat. Rev. Neurosci., 2, 539-550.
26. Shadlen, M. N., & Newsome, W. T. (1994). Noise, neural codes and cortical organization. Curr. Opin. Neurobiol., 4, 569-579.
27. Shadlen, M. N., & Newsome, W. T. (1998). The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding. J. Neurosci., 18(10), 3870-3896.
28. Silberberg, G., Bethge, M., Markram, H., Pawelzik, K., & Tsodyks, M. (2004). Dynamics of population rate codes in ensembles of neocortical neurons. J. Neurophysiol., 91, 704-709.
29. Steinmetz, P. N., Roy, A., Fitzgerald, P. J., Hsiao, S. S., Johnson, K. O., & Niebur, E. (2000). Attention modulates synchronized neuronal firing in primate somatosensory cortex. Nature, 404, 187-190.
30. Tiesinga, P. H. E., José, J. V., & Sejnowski, T. J. (2000). Comparison of current-driven and conductance-driven neocortical model neurons with Hodgkin-Huxley volt-agegated channels. Phys. Rev. E, 62, 8413-8419.
31. Tiesinga, P. H. E., & Sejnowski, T. J. (2004). Rapid temporal modulation of synchrony by competition in cortical interneuron networks. Neural Comput., 16, 251-275.
32. van Rossum, M. C. W., Turrigiano, G. G., & Nelson, S. B. (2002). Fast propagation of firing rates through layered networks of noisy neurons. J. Neurosci., 22(5), 1956-1966.