-
1
-
-
84944495616
-
The impulses produced by sensory nerve endings: Part II: The response of a single end organ
-
Adrian, E. D., & Zotterman, Y. (1926). The impulses produced by sensory nerve endings: Part II: The response of a single end organ. Journal of Physiology, 61, 151-171.
-
(1926)
Journal of Physiology
, vol.61
, pp. 151-171
-
-
Adrian, E.D.1
Zotterman, Y.2
-
2
-
-
33646737767
-
A method for supervised training of spiking neural networks
-
Piscataway, NJ: IEEE
-
Belatreche, A., Maguire, L. P., McGinnity, M., & Wu, Q. X. (2003). A method for supervised training of spiking neural networks. In Proceedings of IEEE Cybernetics Intelligence-Challenges and Advances (CICA) 2003 (pp. 39-44). Piscataway, NJ: IEEE.
-
(2003)
Proceedings of IEEE Cybernetics Intelligence-Challenges and Advances (CICA) 2003
, pp. 39-44
-
-
Belatreche, A.1
Maguire, L.P.2
McGinnity, M.3
Wu, Q.X.4
-
3
-
-
0032535029
-
Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type
-
Bi, G. Q., & Poo, M. M. (1998). Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type. Journal of Neuroscience, 18, 10464-10472.
-
(1998)
Journal of Neuroscience
, vol.18
, pp. 10464-10472
-
-
Bi, G.Q.1
Poo, M.M.2
-
4
-
-
0036826068
-
Error-backpropagation in temporally encoded networks of spiking neurons
-
Bohte, S. M.,Kok, J. N.,&La Poutré, J. A. (2002). Error-backpropagation in temporally encoded networks of spiking neurons. Neurocomputing, 48, 17-37.
-
(2002)
Neurocomputing
, vol.48
, pp. 17-37
-
-
Bohte, S.M.1
Kok, J.N.2
La Poutré, J.A.3
-
6
-
-
85162329166
-
Sequence learning with hidden units in spiking neural networks
-
J. Shawe-Taylor, R. S. Zemal, P. Bartlett, F. Pereira, & K. Q. Weinberger (Eds.), Red Hook, NY: Curran
-
Brea, J., Senn, W., & Pfister, J. P. (2011). Sequence learning with hidden units in spiking neural networks. In J. Shawe-Taylor, R. S. Zemal, P. Bartlett, F. Pereira, & K. Q. Weinberger (Eds.), Advances in neural information processing systems, 24 (pp. 1422-1430). Red Hook, NY: Curran.
-
(2011)
Advances in neural information processing systems
, vol.24
, pp. 1422-1430
-
-
Brea, J.1
Senn, W.2
Pfister, J.P.3
-
7
-
-
0000621802
-
Multivariable functional interpolation and adaptive networks
-
Broomhead, D. S., & Lowe, D. (1988). Multivariable functional interpolation and adaptive networks. Complex Systems, 2, 321-355.
-
(1988)
Complex Systems
, vol.2
, pp. 321-355
-
-
Broomhead, D.S.1
Lowe, D.2
-
9
-
-
34249708388
-
Reinforcement learning through modulation of spike-timingdependent synaptic plasticity
-
Florian, R. V. (2007). Reinforcement learning through modulation of spike-timingdependent synaptic plasticity. Neural Computation, 19, 1468-1502.
-
(2007)
Neural Computation
, vol.19
, pp. 1468-1502
-
-
Florian, R.V.1
-
10
-
-
84864668988
-
The chronotron: A neuron that learns to fire temporally precise spike patterns
-
doi:10.1371/journal.pone.0040233
-
Florian, R. V. (2012). The chronotron: A neuron that learns to fire temporally precise spike patterns. PLoS ONE, 7, e40233. doi:10.1371/journal.pone.0040233.
-
(2012)
PLoS ONE
, vol.7
-
-
Florian, R.V.1
-
12
-
-
34547597104
-
Improved spiking neural networks for EEG classification and epilepsy and seizure detection
-
Ghosh-Dastidar, S., & Adeli, H. (2007). Improved spiking neural networks for EEG classification and epilepsy and seizure detection. Integrated Computer-Aided Engineering, 14, 187-212.
-
(2007)
Integrated Computer-Aided Engineering
, vol.14
, pp. 187-212
-
-
Ghosh-Dastidar, S.1
Adeli, H.2
-
13
-
-
71049128082
-
A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection
-
Ghosh-Dastidar, S., & Adeli, H. (2009). A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection. Neural Networks, 22, 1419-1431.
-
(2009)
Neural Networks
, vol.22
, pp. 1419-1431
-
-
Ghosh-Dastidar, S.1
Adeli, H.2
-
14
-
-
33344478663
-
The tempotron: A neuron that learns spike timing-based decisions
-
Gütig, R., & Sompolinsky, H. (2006). The tempotron: A neuron that learns spike timing-based decisions. Nature Neuroscience, 9, 420-428.
-
(2006)
Nature Neuroscience
, vol.9
, pp. 420-428
-
-
Gütig, R.1
Sompolinsky, H.2
-
16
-
-
0003979924
-
-
Reading, MA: Addison-Wesley
-
Hertz, J., Krogh, A., & Palmer, R. (1991). Introduction to the theory of neural networks. Reading, MA: Addison-Wesley.
-
(1991)
Introduction to the theory of neural networks
-
-
Hertz, J.1
Krogh, A.2
Palmer, R.3
-
17
-
-
34249859348
-
Special issue on echo state networks and liquid state machines: Editorial
-
Jaeger, H., Maass,W., & Principe, J. (2007). Special issue on echo state networks and liquid state machines: Editorial. Neural Networks, 20, 287-432.
-
(2007)
Neural Networks
, vol.20
, pp. 287-432
-
-
Jaeger, H.1
Maass, W.2
Principe, J.3
-
20
-
-
0040150397
-
Spike-timing dependent synaptic plasticity: A phenomenological framework
-
Kistler,W. (2002). Spike-timing dependent synaptic plasticity: A phenomenological framework. Biological Cybernetics, 87, 416-427.
-
(2002)
Biological Cybernetics
, vol.87
, pp. 416-427
-
-
Kistler, W.1
-
22
-
-
25144452832
-
What can a neuron learn with spiketiming- dependent plasticity?
-
Legenstein, R., Naeger, C., & Maass,W. (2005).What can a neuron learn with spiketiming- dependent plasticity? Neural Computation, 17, 2337-2382.
-
(2005)
Neural Computation
, vol.17
, pp. 2337-2382
-
-
Legenstein, R.1
Naeger, C.2
Maass, W.3
-
23
-
-
55449121121
-
A learning theory for rewardmodulated spike timing-dependent plasticity with application to biofeedback
-
Legenstein, R., Pecevski, D., & Maass, W. (2008). A learning theory for rewardmodulated spike timing-dependent plasticity with application to biofeedback. PLoS Computational Biology, 4, 1-27.
-
(2008)
PLoS Computational Biology
, vol.4
, pp. 1-27
-
-
Legenstein, R.1
Pecevski, D.2
Maass, W.3
-
24
-
-
0031568358
-
Fast sigmoidal networks via spiking neurons
-
Maass,W. (1997a). Fast sigmoidal networks via spiking neurons. Neural Computation, 9, 279-304.
-
(1997)
Neural Computation
, vol.9
, pp. 279-304
-
-
Maass, W.1
-
25
-
-
0031472340
-
Networks of spiking neurons: The third generation of neural network models
-
Maass, W. (1997b). Networks of spiking neurons: The third generation of neural network models. Neural Networks, 10, 1659-1671.
-
(1997)
Neural Networks
, vol.10
, pp. 1659-1671
-
-
Maass, W.1
-
26
-
-
84898929097
-
Noisy spiking neurons with temporal coding have more computational power than sigmoidal neurons
-
M. Mozer, M. I. Jordan, & T. Petsche (Eds.) Cambridge, MA: MIT Press
-
Maass,W. (1997c). Noisy spiking neurons with temporal coding have more computational power than sigmoidal neurons. In M. Mozer, M. I. Jordan, & T. Petsche (Eds.), Advances in neural information processing systems, 9 (pp. 211-217). Cambridge, MA: MIT Press.
-
(1997)
Advances in neural information processing systems
, vol.9
, pp. 211-217
-
-
Maass, W.1
-
27
-
-
0036834701
-
Real-time computing without stable states: A new framework for neural computation based on perturbations
-
Maass, W., Natschlager, T., & Markram, H. (2002). Real-time computing without stable states: A new framework for neural computation based on perturbations. Neural Computation, 14, 2531-2560.
-
(2002)
Neural Computation
, vol.14
, pp. 2531-2560
-
-
Maass, W.1
Natschlager, T.2
Markram, H.3
-
28
-
-
0029030249
-
Reliability of spike timing in neocortical neurons
-
Mainen, Z. F., & Sejnowski, T. J. (1995). Reliability of spike timing in neocortical neurons. Science, 268, 1503-1506.
-
(1995)
Science
, vol.268
, pp. 1503-1506
-
-
Mainen, Z.F.1
Sejnowski, T.J.2
-
29
-
-
0031012615
-
Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs
-
Markram, H., Lübke, J., Frotscher, M., & Sakmann, B. (1997). Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science, 275, 213-215.
-
(1997)
Science
, vol.275
, pp. 213-215
-
-
Markram, H.1
Lübke, J.2
Frotscher, M.3
Sakmann, B.4
-
30
-
-
34547588774
-
Fastmodifications of the spikeprop algorithm
-
Piscataway, NJ: IEEE
-
McKennoch, S., Liu, D., & Bushnell, L. G. (2006). Fastmodifications of the spikeprop algorithm. In Proceedings of the International Joint Conference on Neural Networks (pp. 3970-3977). Piscataway, NJ: IEEE.
-
(2006)
Proceedings of the International Joint Conference on Neural Networks
, pp. 3970-3977
-
-
McKennoch, S.1
Liu, D.2
Bushnell, L.G.3
-
32
-
-
35348864929
-
Role of precise spike timing in coding of dynamic vibrissa stimuli in somatosensory thalamus
-
Montemurro,M. A., Panzeri, S.,Maravall, M., Alenda, A., Bale, M. R., Brambilla,M., et al. (2007). Role of precise spike timing in coding of dynamic vibrissa stimuli in somatosensory thalamus. Journal of Neurophysiology, 98, 1871-1882.
-
(2007)
Journal of Neurophysiology
, vol.98
, pp. 1871-1882
-
-
Montemurro, M.A.1
Panzeri, S.2
Maravall, M.3
Alenda, A.4
Bale, M.R.5
Brambilla, M.6
-
33
-
-
33646801243
-
Optimal spike-timingdependent plasticity for precise action potential firing in supervised learning
-
Pfister, J.-P., Toyoizumi, T., Barber, D., & Gerstner,W. (2006). Optimal spike-timingdependent plasticity for precise action potential firing in supervised learning. Neural Computation, 18, 1318-1348.
-
(2006)
Neural Computation
, vol.18
, pp. 1318-1348
-
-
Pfister, J.-P.1
Toyoizumi, T.2
Barber, D.3
Gerstner, W.4
-
35
-
-
77649334232
-
Supervised learning in spiking neural networks with ReSuMe: Sequence learning, classification and spike-shifting
-
Ponulak, F., & Kasínski, A. (2010). Supervised learning in spiking neural networks with ReSuMe: Sequence learning, classification and spike-shifting. Neural Computation, 22, 467-510.
-
(2010)
Neural Computation
, vol.22
, pp. 467-510
-
-
Ponulak, F.1
Kasínski, A.2
-
36
-
-
0003634127
-
-
Cambridge, MA: MIT Press
-
Rieke, F., Warland, D., de Ruyter van Steveninck, R., & Bialek, W. (1997). Spikes: Exploring the neural code. Cambridge, MA: MIT Press.
-
(1997)
Spikes: Exploring the neural code
-
-
Rieke, F.1
Warland, D.2
de Ruyter van Steveninck, R.3
Bialek, W.4
-
38
-
-
0031072069
-
Learning temporally encoded patterns in networks of spiking neurons
-
Ruf, B., & Schmitt, M. (1997). Learning temporally encoded patterns in networks of spiking neurons. Neural Processing Letters, 5, 9-18.
-
(1997)
Neural Processing Letters
, vol.5
, pp. 9-18
-
-
Ruf, B.1
Schmitt, M.2
-
39
-
-
11144349546
-
Spike times make sense
-
Rullen, R. V., Guyonneau, R., & Thorpe, S. J. (2005). Spike times make sense. Trends in Neurosciences, 28, 1-4.
-
(2005)
Trends in Neurosciences
, vol.28
, pp. 1-4
-
-
Rullen, R.V.1
Guyonneau, R.2
Thorpe, S.J.3
-
40
-
-
0035380719
-
Rate coding versus temporal order coding: What the retinal ganglion cells tell the visual cortex
-
Rullen, R. V., & Thorpe, S. J. (2001). Rate coding versus temporal order coding: What the retinal ganglion cells tell the visual cortex. neural computation, 13, 1255-1283.
-
(2001)
neural computation
, vol.13
, pp. 1255-1283
-
-
Rullen, R.V.1
Thorpe, S.J.2
-
41
-
-
0022471098
-
Learning representations by back-propagating errors
-
Rumelhart, D. E., Hinton, G. E., &Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323, 533-536.
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
45
-
-
0038457829
-
A new correlation-basedmeasure of spike timing reliability
-
Schreiber, S., Fellous, J. M., Whitmer, D., Tiesinga, P., & Sejnowski, T. J. (2003). A new correlation-basedmeasure of spike timing reliability. Neurocomputing, 52-54, 925-931.
-
(2003)
Neurocomputing
, vol.52-54
, pp. 925-931
-
-
Schreiber, S.1
Fellous, J.M.2
Whitmer, D.3
Tiesinga, P.4
Sejnowski, T.J.5
-
46
-
-
48249087310
-
Oscillations and spiking pairs: Behavior of a neuronal model with STDP learning
-
Shen, X., Lin, X., & DeWilde, P. (2008). Oscillations and spiking pairs: Behavior of a neuronal model with STDP learning. Neural Computation, 20, 2037-2069.
-
(2008)
Neural Computation
, vol.20
, pp. 2037-2069
-
-
Shen, X.1
Lin, X.2
DeWilde, P.3
-
47
-
-
29444438321
-
Neurons of the cerebral cortex exhibit precise interspike timing in correspondence to behavior
-
Shmiel, T.,Drori,R., Shmiel, O., Ben-Shaul,Y., Nadasdy,Z., Shemesh, M., et al. (2005). Neurons of the cerebral cortex exhibit precise interspike timing in correspondence to behavior. Proceedings of the National Academy of Sciences of USA, 102, 18655-18657.
-
(2005)
Proceedings of the National Academy of Sciences of USA
, vol.102
, pp. 18655-18657
-
-
Shmiel, T.1
Drori, R.2
Shmiel, O.3
Ben-Shaul, Y.4
Nadasdy, Z.5
Shemesh, M.6
-
48
-
-
33847099148
-
Application of Levenberg-Marquardt method to the training of spiking neural networks
-
Piscataway, NJ: IEEE
-
Silva, S. M., & Ruano, A. E. (2005). Application of Levenberg-Marquardt method to the training of spiking neural networks. In Proceedings of the International Conference on Neural Networks and Brain (Vol. 3, pp. 1354-1358). Piscataway, NJ: IEEE.
-
(2005)
Proceedings of the International Conference on Neural Networks and Brain
, vol.3
, pp. 1354-1358
-
-
Silva, S.M.1
Ruano, A.E.2
-
49
-
-
0035798169
-
Sleep, learning, and dreams: Off-line memory reprocessing
-
Stickgold, R., Hobson, J.A., Fosse, R.,&Fosse,M. (2001). Sleep, learning, and dreams: Off-line memory reprocessing. Science, 294, 1052-1057.
-
(2001)
Science
, vol.294
, pp. 1052-1057
-
-
Stickgold, R.1
Hobson, J.A.2
Fosse, R.3
Fosse, M.4
-
51
-
-
38349183038
-
Regulation of spike timing in visual cortical circuits
-
Tiesinga, P., Fellous, J.-M., & Sejnowski, T. J. (2008). Regulation of spike timing in visual cortical circuits. Nature Reviews Neuroscience, 9, 97-107.
-
(2008)
Nature Reviews Neuroscience
, vol.9
, pp. 97-107
-
-
Tiesinga, P.1
Fellous, J.-M.2
Sejnowski, T.J.3
-
52
-
-
0037880378
-
Effects of noise on the spike timing precision of retinal ganglion cells
-
van Rossum, M. C., O'Brien, B. J., & Smith, R. G. (2003). Effects of noise on the spike timing precision of retinal ganglion cells. Journal of Neurophysiology, 89, 2406-2419.
-
(2003)
Journal of Neurophysiology
, vol.89
, pp. 2406-2419
-
-
van Rossum, M.C.1
O'Brien, B.J.2
Smith, R.G.3
-
53
-
-
0029791918
-
Nature and precision of temporal coding in the visual cortex: A metric-space analysis
-
Victor, J. D., & Purpura, K. P. (1996). Nature and precision of temporal coding in the visual cortex: A metric-space analysis. Journal of Neurophysiology, 76, 1310-1326.
-
(1996)
Journal of Neurophysiology
, vol.76
, pp. 1310-1326
-
-
Victor, J.D.1
Purpura, K.P.2
|