A biophysically accurate floating point somatic neuroprocessor

FPL 09: 19th International Conference on Field Programmable Logic and Applications

Volumn , Issue , 2009, Pages 26-31

  Zhang, Yiwei ^a   Nuñez Yañez, José ^a   McGeehan, Joe ^a   Regan, Edward ^b   Kelly, Stephen ^b  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERIMENTAL SETUP; FIRST ORDER KINETIC EQUATIONS; FIXED-POINT IMPLEMENTATION; FLOATING POINTS; FPGA DEVICES; IONIC CHANNELS; LEVEL OF DETAIL; MEMBRANE POTENTIALS; NEURON MODEL; NEUROPROCESSOR; NONLINEAR FUNCTIONS; RE-CONFIGURABLE; REALTIME PROCESSING; SPIKE GENERATION;

DIFFERENTIAL EQUATIONS; DIGITAL ARITHMETIC; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); INTEGRAL EQUATIONS;

BIOINFORMATICS;

EID: 70450064214     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FPL.2009.5272558     Document Type: Conference Paper

References (15)

1. W. Gertner and W.M.Kistler, "Spiking neuron models: single neurons, populations, plasticity," Cambridge University Press, 2002.
2. M. L. Hines, N. T. Carnevale, "The NEURON simulation environment", Neural Computation, vol. 9, No. 6, pp. 1179-1209, Aug. 1997
3. JM Bower, D Beeman, "The book of GENESIS: exploring realistic neural models with the GEneral NEural SImulation System", Springer-Verlag New York, Inc., 1998.
4. A. L. Hodgkin and A. F. Huxley, "A quantitative description of membrane current and its application to conduction and excitation in nerve," Journal of Physiology, Vol. 117, pp. 500-544 (1952).
5. Andreas V. M. Herz, Tim Gollisch, "Modeling single-neuron dynamics and computations: a balance of detail and abstraction," Science, vol. 314. no. 5796, pp. 80-85, Oct 2006.
6. R Brette, M Rudolph, T Carnevale, M Hines, "Simulation of networks of spiking neurons: A review of tools and strategies", Journal of Computational Neuroscience, vol. 23, No. 3, pp. 349-398, July 2007
7. Jim Harkin, F. Morgan, "Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks," in Conf. Field Programmable Logic and Applications, 2008.
8. L.P. Maguire, T.M. McGinnity, "Challenges for large-scale implementations of spiking neural networks FPGAs," Neurocomputing, vol. 71, issues 1-3, pp. 13-29, Dec 2007.
9. SW Hughes, M Locombining double acute accentrincz, DW Cope, V Crunelli, "NeuReal: An interactive simulation system for implementing artificial dendrites and large hybrid networks," Journal of Neuroscience Methods, vol. 169, issue 2, pp. 290-301, Oct. 2007.
10. Michael V. Mascagni and Arthur S. Sherman , Numerical Methods for Neuronal Modeling in Methods in Neuronal Modeling: From Ions to Networks, edited by Cristof Koch and Idan Segev, MIT Press, pp 569-606, 1998.
11. R Andraka, "A survey of CORDIC algorithms for FPGA based computers", International Symposium on Field Programmable Gate Arrays, pp. 191-200, 1998.
12. Xilinx UG431 XtremeDSP DSP48A for Spartan-3A DSP FPGAs User Guide, www.xilinx.com/support/ documentation/user-guides/ug431. pdf
13. DR Llamocca-Obregón, CP Agurto-Ríos, "A fixed-point implementation of the neural logrithm based on the expanded hyperbolic CORDIC algorithm," Lat. Am. Appl. Res. vol. 37, no.1, Mar. 2007.
14. T. Schoenauer, S. Atasoy, N. Mehrtash, and H. Klar, "NeuroPipe-Chip: A digital neuro-processor for spiking neuralnetworks," IEEE Transactions Neural Networks, vol. 13, issue 1, pp. 205-213, Jan 2002.
15. F. C. Hoppensteadt, "An introduction to the mathmatics of neurons", Cambridge University Press, 1986