nips nips2005 nips2005-181 nips2005-181-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Matthias Oster, Shih-Chii Liu
Abstract: Recurrent networks that perform a winner-take-all computation have been studied extensively. Although some of these studies include spiking networks, they consider only analog input rates. We present results of this winner-take-all computation on a network of integrate-and-fire neurons which receives spike trains as inputs. We show how we can configure the connectivity in the network so that the winner is selected after a pre-determined number of input spikes. We discuss spiking inputs with both regular frequencies and Poisson-distributed rates. The robustness of the computation was tested by implementing the winner-take-all network on an analog VLSI array of 64 integrate-and-fire neurons which have an innate variance in their operating parameters. 1
[Boahen, 2000] Boahen, K. A. (2000). Point-to-point connectivity between neuromorphic chips using address-events. IEEE Transactions on Circuits & Systems II, 47(5):416–434. [Douglas and Martin, 2004] Douglas, R. and Martin, K. (2004). Cortical microcircuits. Annual Review of Neuroscience, 27(1f). [Hahnloser et al., 2000] Hahnloser, R., Sarpeshkar, R., Mahowald, M. A., Douglas, R. J., and Seung, S. (2000). Digital selection and analogue amplification coexist in a cortexinspired silicon circuit. Nature, 405:947–951. [Indiveri, 2000] Indiveri, G. (2000). Modeling selective attention using a neuromorphic analog VLSI device. Neural Computation, 12(12):2857–2880. [Itti et al., 1998] Itti, C., Niebur, E., and Koch, C. (1998). A model of saliency-based fast visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1254–1259. [Jin and Seung, 2002] Jin, D. Z. and Seung, H. S. (2002). Fast computation with spikes in a recurrent neural network. Physical Review E, 65:051922. [Lazzaro et al., 1989] Lazzaro, J., Ryckebusch, S., Mahowald, M. A., and Mead, C. A. (1989). Winner-take-all networks of O(n) complexity. In Touretzky, D., editor, Advances in Neural Information Processing Systems, volume 1, pages 703–711. Morgan Kaufmann, San Mateo, CA. [Lee et al., 1999] Lee, D., Itti, C., Koch, C., and Braun, J. (1999). Attention activates winner-take-all competition among visual filters. Nature Neuroscience, 2:375–381. [Liu et al., 2001] Liu, S.-C., Kramer, J., Indiveri, G., Delbr¨ ck, T., Burg, T., and Douglas, u R. (2001). Orientation-selective aVLSI spiking neurons. Neural Networks: Special Issue on Spiking Neurons in Neuroscience and Technology, 14(6/7):629–643. [Oster and Liu, 2004] Oster, M. and Liu, S.-C. (2004). A winner-take-all spiking network with spiking inputs. In 11th IEEE International Conference on Electronics, Circuits and Systems. ICECS ’04: Tel Aviv, Israel, 13–15 December.