Salk Institute

Papers and research supported in part or in whole by The Swartz Foundation

 

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Houweling AR, Bazhenov M, Timofeev I, Steriade M and Sejnowski TJ (1999). Cortical and thalamic components of augmenting responses: a modeling study. Neurocomputing, 26, 735-742. 

Houweling_etal_Neurocomputing_1999.pdf

 

Houweling AR, Bazhenov M, Timofeev I, Grenier F, Steriade M and Sejnowski TJ (2002). Frequency-selective augmenting responses by short-term synaptic depression in cat neocortex. J Physiol. Jul 15;542(Pt 2):599-617.

Houweling_etal_JPhysiol_2002.pdf

 

Huerta R, Bazhenov M, Rabinovich MI (1998).  Clusters of synchronization and bistability in lattices of chaotic neurons.  Europhysics Letters, 43, 719-724. 

Huerta_Bazhenov_Raminovich_EurophysicsLetters_1998.pdf

 

Huerta R, Rabinovich M, Abarbanel H, Bazhenov M  (1997). Spike-train bifurcation scaling in two coupled chaotic neurons. Physics Review E, 55, R2108-R2110. 

Huerta_etal_PhysicalReviewE_1997.pdf

 

Koulakov AA (2001)  Properties of synaptic transmission and the global stability of working memory states, Network.47, 47-74.

Koulakov_Network_2001.pdf

 

Koulakov AA and Chklovskii DB (2001).  Orientation preference patterns in mammalian visual cortex: A wire length minimization approach.  Neuron 29: 519527. 

Koulakov_Chklovskii_Neuron_2001.pdf

 

Kretzberg J, Sejnowski TJ, Warzecha A.-K and Egelhaaf M  (2003).Variability of Postsynaptic Responses Depends Non-Linearly on the Number of Synaptic Inputs, Neurocomputing, (52-54) 313-320.

Kretzberg_etal_Neurocomp_2003.pdf

 

Kretzberg J, Sejnowski TJ, Warzecha A.-K and Egelhaaf M  (2002). Variability of Postsynaptic Responses to Spike-Mediated and Graded Synaptic Input, Society for Neuroscience Abstracts, 28.

Kretzberg_etal_SFNabs_2002.pdf

 

Lee T-W, Wachtler T and Sejnowski TJ (1999).  The spectral independent components of natural scenes.  Institute for Neural Computation at UCSD Technical Report Series  INC-9901, September 1999. 

Lee_Wachtler_Sejnowski_TechReport_1999.pdf

 

Lee T-W, Wachtler T and Sejnowski TJ (2001).  Color opponency constitutes a sparse representation for the chromatic structure of natural scenes. Leen, T.K., Dietterich, T.G. and Tresp, V.; (Eds.),  Advances in Neural Information Processing Systems, 13, MIT Press, Cambridge, MA.866-872. 

Lee_Wachtler_Sejnwoski_NIPS_2001.pdf

 

Lee T-W, Wachtler T and Sejnowski TJ (2002).  Color opponency is an efficient representation of spectral properties in natural scenes.  Vision Res.,  42, 2095-2103.

Lee_Wachtler_Sejnwoski_VisionRes_2002.pdf

 

Lee T-W, Wachtler T and Sejnowski TJ (2000).  The spectral independent components of natural scenes.  Lecture Notes in Computer Science, 1811, 527-534.

Lee_Wachtler_Sejnwoski_LNCS_2000.pdf

 

Lewicki, MS and Sejnowski TJ (1997). Bayesian Unsupervised Learning of Higher Order Structure.  Mozer, M.; Jordan, M. I.; Petsche, T.; (Eds.), Advances in Neural Information Processing Systems, 9, MIT Press, Cambridge, MA. 529-535. 

Lewicki_Sejnowski_AdavNeuralInfoProcSys_1997.pdf

 

Lewicki MS and Sejnowski TJ (2000).  Learning overcomplete representations.  Neural Comput.,  12, 337-365. 

Lewicki_Sejnowski_NeuralComp_2000.pdf

 

Maass W and Zador A (1998).  Computing with dynamic synapses. NIPS 10.

Maass_Zador_NIPS_1998.pdf

 

Maass W and Zador A  (1999). Dynamic stochastic synapses as computational elements.  Neural Computation, 11:903-917.

Maass_Zador_NeuralComp_1999.pdf

 

Mainen Z, Carnevale N, Zador A, Claiborne B and Brown T (1996). Electrotonic structure of hippocampal CA1 pyramidal neurons based on three-dimensional reconstructions.  J. Neurophysiol. 76:1904-1923. 

Mainen_etal_JNeurophysiol_1996.pdf

 

Marnellos G, Deblandre G, Mjolsness E and Kintner C (2000).  Delta-Notch  lateral inhibitory patterning in the emergence of ciliated cells in Xenopus:  experimental observations and a gene-network model. In: Proceedings of the  Pacific Symposium on Biocomputing (R. Altman, A.K. Dunker, L. Hunter,  K. Lauderdale and T.E. Klein, eds.), 5:329-340.

Marnellos_etal_PacificSympBiocomp_2000.pdf

 

Marnellos G and Mjolsness E (1996).  Comparison of simulated annealing with genetic  algorithms in biological problems that use recurrent neural nets.  In: Proceedings of the 18th Annual Conference of the Cognitive Science Society. G.W.Cottrell, ed., Lawrence Erlbaum Associates.

Marnellos_Mjolsness_Proc18thAnnualConfCogSciSoc_1996.pdf

 

Marnellos G and Mjolsness E (1997).  A computational model of early neurogenesis in Drosophila. Technical report CS97-523, Department of Computer Science and Engineering, UCSD. 

Marnellos_Mjosness_TechReport_Computational_1997.pdf

 

Marnellos G and Mjolsness E (1997). Optimization in biological models that use recurrent neural nets. Technical report CS97-524, Department of Computer Science and Engineering, UCSD. 

Marnellos_Mjolsness_TechReport_Optimization_1997.pdf

 

Marnellos G and Mjolsness E (1998).  A gene network approach to modeling early neurogenesis in drosophila. In: Proceedings of the Pacific Symposium on Biocomputing  (R. Altman, A.K. Dunker, L. Hunter and  T.E. Klein, eds.), 3:30-41. 

Marnellos_Mjolsness_ProcPacificSympBiocomp_1998.pdf

 

Marnellos G and Mjolsness E (1998). A gene network model of resource  allocation to growth and reproduction. In: Artificial Life VI, Proceedings of  the Sixth International Conference on Artificial Life (C. Adami, R.K. Belew,  H. Kitano and C.E. Taylor, eds.), MIT Press, 433-437. 

Marnellos_Mjolsness_ArtificialLife_1998.pdf

 

Marnellos G and   Mjolsness E (1998). Probing the dynamics of cell  differentiation in a model of Drosophila neurogenesis. In: Artificial Life VI,  Proceedings of the Sixth International Conference on Artificial Life  (C. Adami, R.K. Belew, H. Kitano and C.E. Taylor, eds.), MIT Press, 161-170.

Marnellos_Mjolsness_ArtificialLifConf_1998.pdf

 

Messinger A,  Squire LR, Zola SM and Albright TD (2000).  Responses of Monkey Inferotemporal Neurons During Paired-associate Learning. Soc. for Neurosci. Abs., 106.4.

Messinger_etal_SFNabstract_2000.pdf

 

Messinger A, Squire LR, Zola SM, and Albright TD. (2001). Neuronal representations of stimulus associations develop in the temporal lobe during learning. Proc Natl Acad Sci USA. 98:12239-44.

Messinger_Squire_Zola_Albright_PNAS_2001.pdf

 

Messinger A, Squire LR, Zola SM, and Albright TD. (2005). Neural correlates of knowledge: stable representation of stimulus associations across variations in behavioral performance. Neuron. 48:359-71.  Messinger_Squire_Zola_Albright_Neuron_2005.pdf

 

Moortgat KT, Keller CH,  Bullock TH and  Sejnowski TJ (1998).  "Submicrosecond pacemaker precision is behaviorally modulated: the gymnotiform electromotor pathway." Proc Nat Acad Sci 95, p. 4684-4689.

Moortgat_etal_PNAS_1998.pdf

 

Moortgat KT, Bullock T H, and Sejnowski TJ (2000).  Precision of the pacemaker nucleus in a weakly electric fish:  network versus cellular influences. J. Neurophysiol., 83(2):971-983. 

Moortgat_Bullock_Sejnowski_JNeurophysiol_2000_P971.pdf

 

Moortgat KT, Bullock T H, and Sejnowski TJ (2000). Gap junction effects on precision and frequency of a model pacemaker network.  J. Neurophysiol., 83(2):984-997.

Moortgat_Bullock_Sejnowski_JNeurophysiol_2000_P984.pdf

 

Movellan JR,  Wachtler T, Albright TD and Sejnowski TJ  (2003). Morton-style factorial coding of color in primary visual cortex.  Advances in Neural Information Processing Systems, 15,  205-212. 

Movellan_Wachtler_Albright_Sejnowski_NIPS_2003.pdf

 

Needleman DJ, Tiesinga, PHE and Sejnowski TJ  (2001).  Collective enhancement of precision in networks of coupled oscillators, Physica D, 155, 324-336.

Needleman_Tiesinga_Sejnowski_PhysicaD_2001.pdf

 

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