Dynamical features of higher-order correlation events: Impact on cortical cells

Cognitive Neurodynamics

Volumn 1, Issue 1, 2007, Pages 53-69

  Benucci, Andrea ^a   Verschure, Paul F M J ^b   König, Peter ^c  

^a SMITH KETTLEWELL EYE RESEARCH INSTITUTE   (United States)

^b UNIVERSITAT POMPEU FABRA   (Spain)

^c UNIVERSITY OF OSNABRÜCK   (Germany)

Author keywords

Correlations; Neuronal selectivity; Single cell model; Sparseness; Unitary events

Indexed keywords

EID: 33847189216     PISSN: 18714080     EISSN: 18714099     Source Type: Journal    
DOI: 10.1007/s11571-006-9000-y     Document Type: Article

References (36)

1. Abeles M (1991) Corticonics. Cambridge Univ Press
2. Amit DJ, Brunel N (1997a) Dynamics of a recurrent network of spiking neurons before and following learning. Network 8:373-404
3. Amit DJ, Brunel N (1997b) Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cerebral Cortex 237-252
4. Azouz R, Gray CM (2000) Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivo. PNAS 97:8110-8115
5. Bair W (1999) Spike timing in the mammalian visual system. Curr Opin Neurobiol. 9(4):447-453
6. Berger T, Larkum ME, Luscher HR (2001) High I(h) channel density in the distal apical dendrite of layer V pyramidal cells increases bidirectional attenuation of EPSPs. J Neurophysiol 85:855-868
7. Bernander O, Kock C, Douglas RJ (1994) Amplification and linearization of distal synaptic input to cortical pyramidal cells. J Neurophysiol 72(6):2743-2753
8. Bothé SM, Spekreijse H, Roelfsema PR (2000) The effect of pair-wise and high-order correlations on the firing rate of a post-synaptic neuron. Neural Computation 12:153-179
9. Brunel N, Hakim V (1999) Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural Computation 11:1621-1671
10. Caianiello ER, Grimson WE (1975) Synthesis of boolean nets and time behavior of a general mathematical neuron. Biol Cybern 18:111-117
11. Dean AF (1981) The variability of discharge of simple cells in the cat striate cortex. Exp Brain Res 44:437-440
12. Destexhe A (2001) Simplified models of neocortical pyramidal cells preserving somatodendritic voltage attenuation. Neurocomputing 38-40:167-173
13. Engel AK, König P, Gray CM, Singer W (1990) Stimulusdependent neuronal oscillations in cat visual cortex: Intercolumnar interaction as determined by cross-correlation analysis. Eur J Neurosci 2:588-606
14. Feng J, Brown D (2000) Impact of correlated inputs on the output of the integrate and fire model. Neural Computation 12(3):671-692
15. Ferster D, Miller KD (2000) Neural mechanisms of orientation selectivity in the visual cortex. Annu Rev Neurosci 23:441-471
16. Gray CM, Viana di Prisco G (1997) Stimulus-dependent neuronal oscillations and local synchronization in striate cortex of the alert cat. J Neurosci 17:3239-3253
17. Grün S, Diesmann M, Aersten A (2001) Unitary events in multiple single-neuron spiking activity:I detection and significance. Neural Computation 14:43-80
18. Hines ML, Moore JW, Carnevale NT (2000) NEURON, Duke and Yale University
19. Hoffman KL, McNaughton BL (2002) Coordinated reactivation of distributed memory traces in primate neocortex. Science 297:2070-2073
20. Horn D and Opher I (1999) Collective excitation phenomena and their applications. In: Maass W (ed) Pulsed neural networks, Bishop CM MIT press, pp 297-320
21. Kisvarday ZF, Toth E, Rausch M, Eysel UT (1997) Orientationspecific relationship between populations of excitatory and inhibitory lateral connections in the visual cortex of the cat. Cerebral Cortex 7:605-618
22. Koch C (1999) Linear cable theory. In: Biophysics of computation, Anonymous. Oxford University Press, pp 25-48
23. Loebel A, Tsodyks M (2002) Computation by ensemble synchronization in recurrent networks with synaptic depression. J Comput Neurosci 13:111-124
24. Mainen ZF, Sejnowski TJ (1995) Reliability of spike timing in neocortical neurons. Science 268:1503-1506
25. Mainen ZF and Sejnowski TJ (1999) Modeling active dendrtitic processes in pyramidal neurons. In: Koch C, Segev I (eds) Methods in neuronal modeling. MIT press, pp 171-210
26. Mazurek ME and Shadlen MN (2002) Limits to the temporal fidelity of cortical spike rate signal. Nature neurosci 5:463-471
27. Ringach DL, Hawken MJ, Shapley R (2003) Dynamics of orientation tuning in macaque V1: the role of global and tuned suppressio. J Neurophysiol 90:342-352
28. Rudolph M and Destexhe A (2001) Correlation detection and resonance in neural systems with distributed noise sources. Phys Rev Lett 86(16):3662-3665
29. Salinas E, Sejnowski TJ (2000) Impact of Correlated Synaptic Input on Output Firing Rate and Variability in Simple Neuronal Models. J Neurosci 20:6193-6209
30. Salinas E, Sejnowski TJ (2001) Correlated neuronal activity and the flow of neural information. Nat Rev Neurosci 2:539-550 Shapley R, Hawken M, Ringach DL (2003) Dynamics of orientation selectivity in the primary visual cortex and the importance of cortical inhibition. Neuron 38:689-699
31. Softky WR, Koch C (1993) The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J Neurosci 13(1):334-350
32. Stevens CF, Zador AM (1998) Input synchrony and the irregular firing of cortical neurons. Nature neurosci 1:210-217
33. Verschure PF, Konig P (1999) On the role of biophysical properties of cortical neurons in binding and segmentation of visual scenes. Neural Comput 11:1113-1138
34. Vinje WE, Gallant JL (2000) Sparse coding and decorrelation in primary visual cortex during natural vision. Science 287:1273-1276
35. Von der Malsburg C (1981) The correlation theory of the brain function. Internal Report 81-2. Max-Plank-Institute fir Biophysical Chemestry, Göttingen
36. Willmore B, Tolhurst DJ (2001) Characterizing the sparseness of neural codes. Network 12:255-270