ICA

[1]	M. V. Albert, A. Schnabel, and D. J. Field. Innate visual learning through spontaneous activity patterns. PLoS Comput Biol, 4(8):e1000137, 2008. [ bib \| DOI \| http ]
[2]	L. Almeida. Separating a Real-Life Nonlinear Image Mixture. The Journal of Machine Learning Research, 6:1199-1229, 2005. [ bib ]
[3]	L. Almeida. MISEPólinear and nonlinear ICA based on mutual information. The Journal of Machine Learning Research, 4:1297-1318, 2003. [ bib ]
[4]	Y. Aviel, C. Mehring, M. Abeles, and D. Horn. On embedding synfire chains in a balanced network. Neural Comput, 15(6):1321-1340, Jun 2003. [ bib \| DOI \| http ]
[5]	M. Badoual, Q. Zou, A. P. Davison, M. Rudolph, T. Bal, Y. Fr?gnac, and A. Destexhe. Biophysical and phenomenological models of multiple spike interactions in spike-timing dependent plasticity. Int J Neural Syst, 16(2):79-97, Apr 2006. [ bib ]
[6]	A. J. Bell and T. J. Sejnowski. The 'independent components' of natural scenes are edge filters. Vision Research, 37:3327-3338, 1997. [ bib ]
[7]	A. J. Bell and T. J. Sejnowski. An information maximisation approach to blind separation and blind deconvolution. Neural Computation, 7(6):1129-1159, 1995. [ bib ]
[8]	A. Belouchrani, K. Abed-Meraim, J.-F. Cardoso, and E. Moulines. A blind source separation technique using second order statistics. IEEE Transactions on Signal Processing, 45:434-444, 1997. [ bib ]
[9]	J. A. Birdwell, J. H. Solomon, M. Thajchayapong, M. A. Taylor, M. Cheely, R. B. Towal, J. Conradt, and M. J. Z. Hartmann. Biomechanical models for radial distance determination by the rat vibrissal system. J Neurophysiol, 98(4):2439-2455, Oct 2007. [ bib \| DOI \| http ]
[10]	T. Blaschke, P. Berkes, and L. Wiskott. What is the relation between slow feature analysis and independent component analysis? Neural Computation, 18(10):2495-2508, 2006. [ bib ]
[11]	T. Blaschke and L. Wiskott. CuBICA: Independent component analysis by simultaneous third- and fourth-order cumulant diagonalization. IEEE Transactions on Signal Processing, 52(5):1250-1256, May 2004. [ bib ]
[12]	T. Blaschke, T. Zito, and L. Wiskott. Independent slow feature analysis and nonlinear blind source separation. Neural Computation, 19(4):994-1021, 2007. [ bib ]
[13]	C. Boucheny, N. Brunel, and A. Arleo. A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system. J Comput Neurosci, 18(2):205-227, 2005. [ bib \| DOI \| http ]
[14]	J. C. Brumberg, D. J. Pinto, and D. J. Simons. Cortical columnar processing in the rat whisker-to-barrel system. J Neurophysiol, 82(4):1808-1817, Oct 1999. [ bib ]
[15]	C. Buia and P. Tiesinga. Attentional modulation of firing rate and synchrony in a model cortical network. J Comput Neurosci, 20(3):247-264, Jun 2006. [ bib \| DOI \| http ]
[16]	E. Burgui?re, A. Arleo, M. reza Hojjati, Y. Elgersma, C. I. D. Zeeuw, A. Berthoz, and L. Rondi-Reig. Spatial navigation impairment in mice lacking cerebellar ltd: a motor adaptation deficit? Nat Neurosci, 8(10):1292-1294, Oct 2005. [ bib \| DOI \| http ]
[17]	A. N. Burkitt, M. Gilson, and J. L. van Hemmen. Spike-timing-dependent plasticity for neurons with recurrent connections. Biol Cybern, 96(5):533-546, May 2007. [ bib \| DOI \| http ]
[18]	A. N. Burkitt and J. L. van Hemmen. How synapses in the auditory system wax and wane: theoretical perspectives. Biol Cybern, 89(5):318-332, Nov 2003. [ bib \| DOI \| http ]
[19]	H. Câteau and A. D. Reyes. Relation between single neuron and population spiking statistics and effects on network activity. Phys Rev Lett, 96(5):058101, Feb 2006. [ bib ]
[20]	M. Carandini, D. J. Heeger, and J. A. Movshon. Linearity and normalization in simple cells of the macaque primary visual cortex. J Neurosci, 17(21):8621-8644, Nov 1997. [ bib ]
[21]	M. J. Chacron, A. Longtin, and L. Maler. Delayed excitatory and inhibitory feedback shape neural information transmission. Phys Rev E Stat Nonlin Soft Matter Phys, 72(5 Pt 1):051917, Nov 2005. [ bib ]
[22]	S. Coombes, M. R. Owen, and G. D. Smith. Mode locking in a periodically forced integrate-and-fire-or-burst neuron model. Phys Rev E Stat Nonlin Soft Matter Phys, 64(4 Pt 1):041914, Oct 2001. [ bib ]
[23]	S. Corchs and G. Deco. Large-scale neural model for visual attention: integration of experimental single-cell and fmri data. Cereb Cortex, 12(4):339-348, Apr 2002. [ bib ]
[24]	A. P. Davison and Y. Fr?gnac. Learning cross-modal spatial transformations through spike timing-dependent plasticity. J Neurosci, 26(21):5604-5615, May 2006. [ bib \| DOI \| http ]
[25]	M. E. Diamond, M. von Heimendahl, and E. Arabzadeh. Whisker-mediated texture discrimination. PLoS Biol, 6(8):e220, Aug 2008. [ bib \| DOI \| http ]
[26]	J. T. Dudman, D. Tsay, and S. A. Siegelbaum. A role for synaptic inputs at distal dendrites: instructive signals for hippocampal long-term plasticity. Neuron, 56(5):866-879, Dec 2007. [ bib \| DOI \| http ]
[27]	G. B. Ermentrout, R. F. Gal?n, and N. N. Urban. Relating neural dynamics to neural coding. Phys Rev Lett, 99(24):248103, Dec 2007. [ bib ]
[28]	M. Falconbridge, R. Stamps, and D. Badcock. A simple hebbian/anti-hebbian network learns the sparse, independent components of natural images. Neural Computation, 18:415-429, 2006. [ bib ]
[29]	S. Fusi, W. F. Asaad, E. K. Miller, and X.-J. Wang. A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales. Neuron, 54(2):319-333, Apr 2007. [ bib \| DOI \| http ]
[30]	R. F. Gal?n, G. B. Ermentrout, and N. N. Urban. Optimal time scale for spike-time reliability: theory, simulations, and experiments. J Neurophysiol, 99(1):277-283, Jan 2008. [ bib \| DOI \| http ]
[31]	J. P. Gavornik, M. G. H. Shuler, Y. Loewenstein, M. F. Bear, and H. Z. Shouval. Learning reward timing in cortex through reward dependent expression of synaptic plasticity. Proc Natl Acad Sci U S A, 106(16):6826-6831, Apr 2009. [ bib \| DOI \| http ]
[32]	M. Giugliano, P. Darbon, M. Arsiero, H.-R. L?scher, and J. Streit. Single-neuron discharge properties and network activity in dissociated cultures of neocortex. J Neurophysiol, 92(2):977-996, Aug 2004. [ bib \| DOI \| http ]
[33]	C. Gold, D. A. Henze, and C. Koch. Using extracellular action potential recordings to constrain compartmental models. J Comput Neurosci, 23(1):39-58, Aug 2007. [ bib \| DOI \| http ]
[34]	T. Gollisch and M. Meister. Rapid neural coding in the retina with relative spike latencies. Science, 319(5866):1108-1111, Feb 2008. [ bib \| DOI \| http ]
[35]	J. Goulet, J. Engelmann, B. P. Chagnaud, J.-M. P. Franosch, M. D. Suttner, and J. L. van Hemmen. Object localization through the lateral line system of fish: theory and experiment. J Comp Physiol A Neuroethol Sens Neural Behav Physiol, 194(1):1-17, Jan 2008. [ bib \| DOI \| http ]
[36]	S. Grossberg. The link between brain learning, attention, and consciousness. Conscious Cogn, 8(1):1-44, Mar 1999. [ bib \| DOI \| http ]
[37]	B. S. Gutkin, G. B. Ermentrout, and A. D. Reyes. Phase-response curves give the responses of neurons to transient inputs. J Neurophysiol, 94(2):1623-1635, Aug 2005. [ bib \| DOI \| http ]
[38]	J. S. Haas, T. Nowotny, and H. D. I. Abarbanel. Spike-timing-dependent plasticity of inhibitory synapses in the entorhinal cortex. J Neurophysiol, 96(6):3305-3313, Dec 2006. [ bib \| DOI \| http ]
[39]	S. Harmeling, A. Ziehe, M. Kawanabe, and K.-R. Müller. Kernel-based nonlinear blind source separation. Neural Computation, 15:1089-1124, 2003. [ bib ]
[40]	P. Heil and H. Neubauer. A unifying basis of auditory thresholds based on temporal summation. Proc Natl Acad Sci U S A, 100(10):6151-6156, May 2003. [ bib \| DOI \| http ]
[41]	P. Heil and H. Neubauer. Temporal integration of sound pressure determines thresholds of auditory-nerve fibers. J Neurosci, 21(18):7404-7415, Sep 2001. [ bib ]
[42]	M. Helmstaedter, C. P. J. de Kock, D. Feldmeyer, R. M. Bruno, and B. Sakmann. Reconstruction of an average cortical column in silico. Brain Res Rev, 55(2):193-203, Oct 2007. [ bib \| DOI \| http ]
[43]	M. Helmstaedter, J. F. Staiger, B. Sakmann, and D. Feldmeyer. Efficient recruitment of layer 2/3 interneurons by layer 4 input in single columns of rat somatosensory cortex. J Neurosci, 28(33):8273-8284, Aug 2008. [ bib \| DOI \| http ]
[44]	O. Hendin, D. Horn, and J. J. Hopfield. Decomposition of a mixture of signals in a model of the olfactory bulb. Proc Natl Acad Sci U S A, 91(13):5942-5946, Jun 1994. [ bib ]
[45]	M. L. Hines and N. T. Carnevale. The neuron simulation environment. Neural Comput, 9(6):1179-1209, Aug 1997. [ bib ]
[46]	J. Hipp, E. Arabzadeh, E. Zorzin, J. Conradt, C. Kayser, M. E. Diamond, and P. K?nig. Texture signals in whisker vibrations. J Neurophysiol, 95(3):1792-1799, Mar 2006. [ bib \| DOI \| http ]
[47]	J. J. Hopfield. Olfactory computation and object perception. Proc Natl Acad Sci U S A, 88(15):6462-6466, Aug 1991. [ bib ]
[48]	A. Hyvärinen. Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks, 10:626-634, 1999. [ bib ]
[49]	A. Hyvärinen. Survey on independent component analysis. Neural Computing Surveys, 2:94-128, 1999. [ bib ]
[50]	A. Hyvärinen, J. Karhunen, and E. Oja. Independent Component Analysis. Wiley, New York, 2001. [ bib ]
[51]	A. Hyvärinen and P. Pajunen. Nonlinear independent component analysis: Existence and uniqueness results. Neural Networks, 12(3):429-439, 1999. [ bib ]
[52]	D. Z. Jin. Fast convergence of spike sequences to periodic patterns in recurrent networks. Phys Rev Lett, 89(20):208102, Nov 2002. [ bib ]
[53]	R. Jolivet, A. Rauch, H.-R. Luscher, and W. Gerstner. Predicting spike timing of neocortical pyramidal neurons by simple threshold models. J Comput Neurosci, 21(1):35-49, 2006. [ bib \| DOI ]
[54]	C. Jutten and J. Karhunen. Advances in nonlinear blind source separation. Proc. of the 4th Int. Symp. on Independent Component Analysis and Blind Signal Separation (ICA2003), pages 245-256, 2003. [ bib ]
[55]	K. P. K?rding and P. K?nig. A spike based learning rule for generation of invariant representations. J Physiol Paris, 94(5-6):539-548, 2000. [ bib ]
[56]	K. P. K?rding and P. K?nig. Learning with two sites of synaptic integration. Network, 11(1):25-39, Feb 2000. [ bib ]
[57]	D. B. Kelley. Vocal communication in frogs. Curr Opin Neurobiol, 14(6):751-757, Dec 2004. [ bib \| DOI \| http ]
[58]	R. Kempter, C. Leibold, H. Wagner, and J. L. van Hemmen. Formation of temporal-feature maps by axonal propagation of synaptic learning. Proc Natl Acad Sci U S A, 98(7):4166-4171, Mar 2001. [ bib \| DOI \| http ]
[59]	N. Keren, N. Peled, and A. Korngreen. Constraining compartmental models using multiple voltage recordings and genetic algorithms. J Neurophysiol, 94(6):3730-3742, 2005. [ bib \| DOI ]
[60]	R. A. Koene and M. E. Hasselmo. Reversed and forward buffering of behavioral spike sequences enables retrospective and prospective retrieval in hippocampal regions ca3 and ca1. Neural Netw, 21(2-3):276-288, 2008. [ bib \| DOI \| http ]
[61]	A. Kuhn, A. Aertsen, and S. Rotter. Higher-order statistics of input ensembles and the response of simple model neurons. Neural Comput, 15(1):67-101, Jan 2003. [ bib \| DOI \| http ]
[62]	H. T. Kyriazi and D. J. Simons. Thalamocortical response transformations in simulated whisker barrels. J Neurosci, 13(4):1601-1615, Apr 1993. [ bib ]
[63]	S. L and F. Kaplan. Aibo's first words: The social learning of language and meaning. Evolution of communication, 4:3-32, 2000. [ bib ]
[64]	R. Luna, A. Hern?ndez, C. D. Brody, and R. Romo. Neural codes for perceptual discrimination in primary somatosensory cortex. Nat Neurosci, 8(9):1210-1219, Sep 2005. [ bib \| DOI \| http ]
[65]	Z. F. Mainen, J. Joerges, J. R. Huguenard, and T. J. Sejnowski. A model of spike initiation in neocortical pyramidal neurons. Neuron, 15(6):1427-1439, 1995. [ bib ]
[66]	H. Markram. The blue brain project. Nat Rev Neurosci, 7(2):153-160, 2006. [ bib \| DOI ]
[67]	H. Markram, M. Toledo-Rodriguez, Y. Wang, A. Gupta, G. Silberberg, and C. Wu. Interneurons of the neocortical inhibitory system. Nat Rev Neurosci, 5(10):793-807, 2004. [ bib \| DOI ]
[68]	P. Mazzoni, R. A. Andersen, and M. I. Jordan. A more biologically plausible learning rule for neural networks. Proc Natl Acad Sci U S A, 88(10):4433-4437, May 1991. [ bib ]
[69]	M. R. Mehta. Cooperative ltp can map memory sequences on dendritic branches. Trends Neurosci, 27(2):69-72, Feb 2004. [ bib ]
[70]	H. Mittelstaedt. Triple-loop model of path control by head direction and place cells. Biol Cybern, 83(3):261-270, Sep 2000. [ bib ]
[71]	S. Moldakarimov, J. E. Rollenhagen, C. R. Olson, and C. C. Chow. Competitive dynamics in cortical responses to visual stimuli. J Neurophysiol, 94(5):3388-3396, Nov 2005. [ bib \| DOI \| http ]
[72]	L. Molgedey and H. G. Schuster. Separation of a mixture of independent signals using time delayed correlations. Physical Review Letters, 72(23):3634-3637, 1994. [ bib ]
[73]	T. Nowotny and M. I. Rabinovich. Dynamical origin of independent spiking and bursting activity in neural microcircuits. Phys Rev Lett, 98(12):128106, Mar 2007. [ bib ]
[74]	E. Oja and J. Karhunen. Signal separation by nonlinear Hebbian learning. Computational Intelligence: A Dynamic System Perspective, pages 83-97, 1995. [ bib ]
[75]	T. U. Otto, M. H. Herzog, M. Fahle, and L. Zhaoping. Perceptual learning with spatial uncertainties. Vision Res, 46(19):3223-3233, Oct 2006. [ bib \| DOI \| http ]
[76]	D. J. Pinto, J. C. Brumberg, and D. J. Simons. Circuit dynamics and coding strategies in rodent somatosensory cortex. J Neurophysiol, 83(3):1158-1166, Mar 2000. [ bib ]
[77]	A. A. Prinz, C. P. Billimoria, and E. Marder. Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. J Neurophysiol, 90(6):3998-4015, 2003. [ bib \| DOI ]
[78]	M. I. Rabinovich, R. Huerta, P. Varona, and V. S. Afraimovich. Generation and reshaping of sequences in neural systems. Biol Cybern, 95(6):519-536, Dec 2006. [ bib \| DOI \| http ]
[79]	K. G. Reymann and J. U. Frey. The late maintenance of hippocampal ltp: requirements, phases, 'synaptic tagging', 'late-associativity' and implications. Neuropharmacology, 52(1):24-40, Jan 2007. [ bib \| DOI \| http ]
[80]	J. E. Rollenhagen and C. R. Olson. Low-frequency oscillations arising from competitive interactions between visual stimuli in macaque inferotemporal cortex. J Neurophysiol, 94(5):3368-3387, Nov 2005. [ bib \| DOI \| http ]
[81]	M. C. W. van Rossum, G. G. Turrigiano, and S. B. Nelson. Fast propagation of firing rates through layered networks of noisy neurons. J Neurosci, 22(5):1956-1966, Mar 2002. [ bib ]
[82]	M. Rudolph and A. Destexhe. Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural Comput, 18(9):2146-2210, Sep 2006. [ bib \| DOI \| http ]
[83]	S. Sajikumar and J. U. Frey. Late-associativity, synaptic tagging, and the role of dopamine during ltp and ltd. Neurobiol Learn Mem, 82(1):12-25, Jul 2004. [ bib \| DOI \| http ]
[84]	L. Sarid, R. Bruno, B. Sakmann, I. Segev, and D. Feldmeyer. Modeling a layer 4-to-layer 2/3 module of a single column in rat neocortex: interweaving in vitro and in vivo experimental observations. Proc Natl Acad Sci U S A, 104(41):16353-16358, Oct 2007. [ bib \| DOI \| http ]
[85]	A. Saudargiene, B. Porr, and F. W?rg?tter. Synaptic modifications depend on synapse location and activity: a biophysical model of stdp. Biosystems, 79(1-3):3-10, 2005. [ bib \| DOI \| http ]
[86]	R. Schaette, T. Gollisch, and A. V. M. Herz. Spike-train variability of auditory neurons in vivo: dynamic responses follow predictions from constant stimuli. J Neurophysiol, 93(6):3270-3281, Jun 2005. [ bib \| DOI \| http ]
[87]	W. Schultz, P. Dayan, and P. R. Montague. A neural substrate of prediction and reward. Science, 275(5306):1593-1599, Mar 1997. [ bib ]
[88]	D. J. Schulz, J.-M. Goaillard, and E. Marder. Variable channel expression in identified single and electrically coupled neurons in different animals. Nat Neurosci, 9(3):356-362, 2006. [ bib \| DOI ]
[89]	P. Seri?s, P. E. Latham, and A. Pouget. Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations. Nat Neurosci, 7(10):1129-1135, Oct 2004. [ bib \| DOI \| http ]
[90]	M. T. Shipley. Response characteristics of single units in the rat's trigeminal nuclei to vibrissa displacements. J Neurophysiol, 37(1):73-90, Jan 1974. [ bib ]
[91]	H. Z. Shouval. Clusters of interacting receptors can stabilize synaptic efficacies. Proc Natl Acad Sci U S A, 102(40):14440-14445, Oct 2005. [ bib \| DOI \| http ]
[92]	M. Siegel, K. P. K?rding, and P. K?nig. Integrating top-down and bottom-up sensory processing by somato-dendritic interactions. J Comput Neurosci, 8(2):161-173, 2000. [ bib ]
[93]	P. Simen, J. D. Cohen, and P. Holmes. Rapid decision threshold modulation by reward rate in a neural network. Neural Netw, 19(8):1013-1026, Oct 2006. [ bib \| DOI \| http ]
[94]	H. Sprekeler and D. L. Wiskott. Understanding slow feature analysis: A mathematical framework. August 2008. preprint on cogprints. [ bib \| http ]
[95]	D. Standage, S. Jalil, and T. Trappenberg. Computational consequences of experimentally derived spike-time and weight dependent plasticity rules. Biol Cybern, 96(6):615-623, Jun 2007. [ bib \| DOI \| http ]
[96]	J. V. Stone. Blind source separation using temporal predictability. Neural Computation, 13(7):1559-1574, 2001. [ bib ]
[97]	M. Sur and J. L. R. Rubenstein. Patterning and plasticity of the cerebral cortex. Science, 310(5749):805-810, Nov 2005. [ bib \| DOI \| http ]
[98]	B. Takacs and A. Lorincz. Independent component analysis forms place cells in realistic robot simulations. Neurocomputing, 69(10-12):1249-1252, 2006. [ bib ]
[99]	S. Tanabe, S. Sato, and K. Pakdaman. Response of an ensemble of noisy neuron models to a single input. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics, 60(6 Pt B):7235-7238, Dec 1999. [ bib ]
[100]	K. Tanaka, L. Khiroug, F. Santamaria, T. Doi, H. Ogasawara, G. C. R. Ellis-Davies, M. Kawato, and G. J. Augustine. Ca2+ requirements for cerebellar long-term synaptic depression: role for a postsynaptic leaky integrator. Neuron, 54(5):787-800, Jun 2007. [ bib \| DOI \| http ]
[101]	J. Tegn?r, A. Compte, and X.-J. Wang. The dynamical stability of reverberatory neural circuits. Biol Cybern, 87(5-6):471-481, Dec 2002. [ bib \| DOI \| http ]
[102]	G. Tononi and G. M. Edelman. Consciousness and complexity. Science, 282(5395):1846-1851, Dec 1998. [ bib ]
[103]	J. Touboul. Bifurcation analysis of a general class of nonlinear integrate-and-fire neurons. SIAM Journal on Applied Mathematics, 68(4):1045-1079, 2008. [ bib ]
[104]	M. Toussaint. A sensorimotor map: modulating lateral interactions for anticipation and planning. Neural Comput, 18(5):1132-1155, May 2006. [ bib \| DOI \| http ]
[105]	T. Toyoizumi, K. Aihara, and S. ichi Amari. Fisher information for spike-based population decoding. Phys Rev Lett, 97(9):098102, Sep 2006. [ bib ]
[106]	R. Urbanczik and W. Senn. Reinforcement learning in populations of spiking neurons. Nat Neurosci, 12(3):250-252, Mar 2009. [ bib \| DOI \| http ]
[107]	T. P. Vogels and L. F. Abbott. Signal propagation and logic gating in networks of integrate-and-fire neurons. J Neurosci, 25(46):10786-10795, Nov 2005. [ bib \| DOI \| http ]
[108]	J. Waters and F. Helmchen. Background synaptic activity is sparse in neocortex. J Neurosci, 26(32):8267-8277, Aug 2006. [ bib \| DOI \| http ]
[109]	V. Wespatat, F. Tennigkeit, and W. Singer. Phase sensitivity of synaptic modifications in oscillating cells of rat visual cortex. J Neurosci, 24(41):9067-9075, Oct 2004. [ bib \| DOI \| http ]
[110]	J. Wiemer, F. Spengler, F. Joublin, P. Stagge, and S. Wacquant. Learning cortical topography from spatiotemporal stimuli. Biol Cybern, 82(2):173-187, Feb 2000. [ bib ]
[111]	J. Wolfe, D. N. Hill, S. Pahlavan, P. J. Drew, D. Kleinfeld, and D. E. Feldman. Texture coding in the rat whisker system: slip-stick versus differential resonance. PLoS Biol, 6(8):e215, Aug 2008. [ bib \| DOI \| http ]
[112]	M. F. Yeckel and T. W. Berger. Feedforward excitation of the hippocampus by afferents from the entorhinal cortex: redefinition of the role of the trisynaptic pathway. Proc Natl Acad Sci U S A, 87(15):5832-5836, Aug 1990. [ bib ]
[113]	L. Zhaoping, M. H. Herzog, and P. Dayan. Nonlinear ideal observation and recurrent preprocessing in perceptual learning. Network, 14(2):233-247, May 2003. [ bib ]
[114]	A. Ziehe and K. Müller. TDSEP-an efficient algorithm for blind separation using time structure. Proc. Int. Conf. on Artificial Neural Networks (ICANN '98), pages 675-680, 1998. [ bib ]
[115]	Q. Zou and A. Destexhe. Kinetic models of spike-timing dependent plasticity and their functional consequences in detecting correlations. Biol Cybern, 97(1):81-97, Jul 2007. [ bib \| DOI \| http ]

This file was generated by bibtex2html 1.91.