References

1. “Home Page - Sadique Sheik.” Accessed

September 27, 2017.

http://sheiksadique.github.io/projects/BENG_2016_fall

_design.html .

2. Vreeken, Jilles. Spiking Neural Networks, an

Introduction . Utrecht University: Information and

Computing Sciences, 2003.

https://dspace.library.uu.nl/bitstream/handle/1874/2441

6/vreeken_03_spikingneuralnetworks.pdf?sequence=

2 .

3. Niebur, Ernst. “Electrical Properties of Cell

Membranes.” Scholarpedia 3, no. 6 (June 30, 2008):

7166. doi:10.4249/scholarpedia.7166.

4. Gerstner, W., Kistler, W., Naud, R. & Paninski, L.

(2014). Neuronal dynamics : from single neurons to

networks and models of cognition . Cambridge, United

Kingdom: Cambridge University Press.

5. Goodman, Dan F. M., and Romain Brette. “The

Brian Simulator.” Frontiers in Neuroscience 3 (2009).

doi:10.3389/neuro.01.026.2009.

6. Llinas, Rodolfo. “Neuron.” Scholarpedia 3, no. 8

(August 31, 2008): 1490.

doi:10.4249/scholarpedia.1490.

7. Feng, J. & Brown, D. Integrate-and-fire Models

with Nonlinear Leakage, Bulletin of Mathematical

Biology vol. 62, p.467-481 (2000)

8. Gerstner, W., Kistler, W. Spiking Neuron Models,

Cambridge University Press (2002)

9. Kempter, G. & van Hemmen, J. L. Hebbian

Learning and Spiking Neurons, Physical Review E4, p.

4498-4514 (1999).

10. DasGupta, B. & Schnitger, G. The power of

approximating: a comparison of activation functions,

Advances in Neural Information Processing Systems,

vol. 5 p.363-374 (1992).

11. Hodgkin, A. L., Huxley, A. F., Katz, B., (1952),

Measurement of current-voltage relations in the

membrane of the giant axon of Loligo. The Journal of

Physiology, 116 doi: 10.1113/jphysiol.1952.sp004716.

12. Hodgkin, A L, and A F Huxley. “Currents Carried

by Sodium and Potassium Ions through the Membrane

of the Giant Axon of Loligo.” The Journal of Physiology

116, no. 4 (April 28, 1952): 449–72.

13. Bower, J. & Beeman, D. (1995). The book of

GENESIS : exploring realistic neural models with the

GEneral NEural SImulation System. Santa Clara, Calif:

TELOS

14. Goodman, Dan F M. “The Brian Simulator.”

Frontiers in Neuroscience 3, no. 2 (September 15,

2009): 192–97. doi:10.3389/neuro.01.026.2009.

15. Carnevale, N. T., and Hines, M. L. (2006). The

NEURON Book. Cambridge, Cambridge University

Press.

16. “NEST (NEural Simulation Tool) - Scholarpedia.”

Accessed October 2, 2017.

http://www.scholarpedia.org/article/NEST_%28NEural_

Simulation_Tool%29.

17. Gerstner, W. (2010). From Hebb Rules to

Spike-Timing-Dependent Plasticity: A Personal

Account. Frontiers in Synaptic Neuroscience, 2, 151.

http://doi.org/10.3389/fnsyn.2010.00151

18. Pillow, J. W. “Prediction and Decoding of Retinal

Ganglion Cell Responses with a Probabilistic Spiking

Model.” Journal of Neuroscience 25, no. 47

(November 23, 2005): 11003–13.

doi:10.1523/JNEUROSCI.3305-05.2005.

19. “Lapicque’s 1907 Paper: From Frogs to

Integrate-and-Fire | SpringerLink.” Accessed October

2, 2017.

https://link.springer.com/article/10.1007%2Fs00422-00

7-0190-0 .

20. Daniel J. Friedman, et. al. “ Producing

spike-timing dependent plasticity in a

neuromorphic network utilizing phase change

synaptic devices”

https://patents.google.com/patent/US201200842

41A1/en?q=spiking&q=neuromorphic&q=hardwar

e,chip