Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons

Neural Networks

Volumn 12, Issue 7-8, 1999, Pages 1181-1190

  Sakai, Y ^a   Funahashi, S ^a   Shinomoto, S ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

Coefficient of variation; Correlation coefficient; Leaky integrate and fire model; Memory; Prefrontal cortex; Skewness coefficient; Temporally correlated inputs

Indexed keywords

BRAIN; CORRELATION METHODS; MATHEMATICAL MODELS; STATISTICS;

LEAKY INTEGRATE AND FIRE MODEL; MEMORY; PREFRONTAL CORTEX; SKEWNESS COEFFICIENT; TEMPORALLY CORRELATED INPUTS;

NEURAL NETWORKS;

ARTICLE; BRAIN CELL; HUMAN; MEMORY; MODEL; NERVE CELL NETWORK; NONHUMAN; PREFRONTAL CORTEX; PRIORITY JOURNAL; SPIKE WAVE; STIMULUS;

EID: 0033213820     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(99)00053-2     Document Type: Article

References (24)

1. Amit D.J., Brunel N. Global spontaneous activity and local structured (learned) delay activity in cortex. Cerebral Cortex. 7:1997;237-252.
2. Amit D.J. Modeling brain function. 1989;Cambridge University Press, Cambridge.
3. Cox D.R., Lewis P.A.W. The statistical analysis of series of events. 1966;Methuen, London.
4. Funahashi S., Bruce C.J., Goldman-Rakic P.S. Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. Journal of Neurophysiology. 61:1989;331-349.
5. Goldman-Rakic P.S., Bruce C.J., Funahashi S. Neocortical memory circuits. Cold Spring Harbor Symposia on Quantitative Biology. LV:1990;Cold Spring Harbor Laboratory Press, Cold Spring Harbor. pp. 1025-1038.
6. Hertz J., Krough A., Palmer R.G. Introduction to the theory of neural computation. 1991;Addison-Wesley, Reading, MA.
7. Holt G.R., Koch C. Shunting inhibition does not have a divisive effect on firing rates. Neural Computation. 9:1997;1001-1013.
8. Kaneko T., Kang Y., Mizuno N. Glutaminase-positive and glutaminase-negative pyramidal cells in layer VI of the primary motor and somatosensory cortices: a combined analysis by intracellular staining and immunocytochemistry in the rat. Journal of Neuroscience. 15:1995;8362-8377.
9. Koch C. Computation and the single neuron. Nature. 385:1997;207-210.
10. Lansky P., Sacerdote L., Tomassetti F. On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity. Biological Cybernetics. 73:1995;457-465.
11. McCormick D.A. Membrane properties and neurotransmitter actions. Shepherd G.M. The synaptic organization of the brain. 1998;37-75 Oxford University Press, Oxford.
12. Nicholls J.G., Martin A.R., Wallace B.G. From neuron to brain. 1992;Sinauer, Massachusetts.
13. Shadlen M.N., Newsome W.T. Noise, neural codes and cortical organization. Current Opinion in Neurobiology. 4:1994;569-579.
14. Shadlen M.N., Newsome W.T. The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. Journal of Neuroscience. 18:1998;3870-3896.
15. Shinomoto S., Sakai Y. Spiking mechanisms of cortical neurons. Philosophical Magazine B. 77:1998;1549-1555.
16. Shinomoto S., Sakai Y., Funahashi S. The Ornstein-Uhlenbeck process does not reproduce spiking statistics of neurons in prefrontal cortex. Neural Computation. 11:1999;935-951.
17. Softky W.R., Koch C. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. Journal of Neuroscience. 13:1993;334-350.
18. Stevens C.F., Zador A.M. Input synchrony and the irregular firing of cortical neurons. Nature Neuroscience. 1:1998;210-217.
19. Thomson A.M., Deuchars J. Synaptic interactions in neocortical local circuits: dual intracellular recordings in vitro. Cerebral Cortex. 7:1997;510-522.
20. Tsodyks M.V., Sejnowski T. Rapid state switching in balanced cortical network models. Network. 6:1995;111-124.
21. Tuckwell H.C. Introduction to theoretical neurobiology. 1988;Cambridge University Press, Cambridge.
22. van Vreeswijk C., Sompolinsky H. Chaos in neural networks with balanced excitatory and inhibitory activity. Science. 274:1996;1724-1726.
23. van Vreeswijk C., Sompolinsky H. Chaotic balanced state in a model of cortical circuits. Neural Computation. 10:1998;1321-1327.
24. Yamada W.M., Koch C., Adams P.R. Multiple channels and calcium dynamics. Koch C., Segev I. Methods in neuronal modeling. 1989;97-133 MIT Press, Cambridge, MA.