Rate and synchrony in feedforward networks of coincidence detectors: Analytical solution

Neural Computation

Volumn 17, Issue 4, 2005, Pages 881-902

  Mikula, Shawn ^a   Niebur, Ernst ^a  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATTENTION; BIOLOGICAL MODEL; BRAIN CORTEX; CORTICAL SYNCHRONIZATION; HUMAN; NERVE CELL; NERVE CELL INHIBITION; NERVE CELL NETWORK; NERVE TRACT; PHYSIOLOGY; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ANIMALS; ATTENTION; CEREBRAL CORTEX; CORTICAL SYNCHRONIZATION; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL INHIBITION; NEURAL NETWORKS (COMPUTER); NEURAL PATHWAYS; NEURONS; SYNAPTIC TRANSMISSION;

EID: 17044398518     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/0899766053429408     Document Type: Article

References (15)

1. Diesmann, M., Gewaltig, M. O., & Aertsen, A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature, 402, 529-533.
2. Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001). Modulation of oscillatory neuronal synchronization by selective visual attention. Science, 291, 1560-11563.
3. 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, 3006-3015.
4. Mikula, S., & Niebur, E. (2003a). The effects of input rate and synchrony on a coincidence detector: Analytical solution. Neural Computation, 15, 539-547.
5. Mikula, S., & Niebur, E. (2003b). Synaptic depression leads to nonmonotonic frequency dependence in the coincidence detector. Neural Computation, 15(10), 2339-2358.
6. Mikula, S., & Niebur, E. (2004). Correlated inhibitory and excitatory inputs to the coincidence detector: Analytical solution. IEEE Transactions on Neural Networks, 15(5), 957-962.
7. Moran, J., & Desimone, R. (1985), Selective attention gates visual processing in the extrastriate cortex. Science, 229, 782-784.
8. Niebur, E. (2002). Electrophysiological correlates of synchronous neural activity and attention: A short review. Biosystems, 67(1-3), 157-166.
9. Niebur, E., Hsiao, S. S., & Johnson, K. O. (2002). Synchrony: A neuronal mechanism for attentional selection? Current Opinion in Neurobiology, 12(2), 190-194.
10. Perkel, D., & Bullock, T. H. (1968). Neural coding. Neurosci. Res. Programm. Bull., 6, 221.
11. Reyes, A. D. (2003). Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro. Nat. Neurosci., 6, 593-599.
12. Salinas, E., & Sejnowski, T. J. (2000). Impact of correlated synaptic input on output firing rate and variability in simple neuronal models. J. Neurosci., 20(16), 6193-6209.
13. Salinas, E., & Sejnowski, T. J. (2001). Correlated neuronal activity and the flow of neural information. Nature Reviews Neuroscience, 2, 539-550.
14. Shadlen, M. N., & Newsome, W. T. (1998). The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding. J. Neurosci., 18, 3870-3896.
15. Steinmetz, P. N., Roy, A., Fitzgerald, P., Hsiao, S. S., Johnson, K. O., & Niebur, E. (2000). Attention modulates synchronized neuronal firing in primate somatosensory cortex. Nature, 404, 187-190.