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di rmaertin library [25 articles]

Articoli aggiunti di recente nella biblioteca di rmaertin .
  • Dimensionality and dynamics in the behavior of C. elegans.
    PLoS computational biology, Vol. 4, No. 4. (April 2008)
    by GJ Stephens, B Johnson-Kerner, W Bialek, WS Ryu
    posted to control sensorimotor theoretical_neuroscience by rmaertin on 2008-06-11 12:37:58 as ** along with 7 people and 2 groups davclark tharris bayesian jjray vhphys i-stevenson sen_cheng C. elegans / WormBase Kording Lab
  • Redundancy reduction revisited.
    Network, Vol. 12, No. 3. (August 2001), pp. 241-253.
    by H Barlow
    posted to computational_neuroscience neural_networks optimal_coding sensorimotor_organization theoretical_neuroscience vision by rmaertin on 2008-05-16 08:41:20 as ** along with 5 people and 1 group knuu klouie bayesian infogrind jagged_arrow Glimcher_Lab
  • Neural Ensembles in CA3 Transiently Encode Paths Forward of the Animal at a Decision Point
    J. Neurosci., Vol. 27, No. 45. (7 November 2007), pp. 12176-12189.
    by Adam Johnson, David A Redish
    posted to hippocampus place_fields planning by rmaertin on 2008-05-15 08:18:48 as ** along with 7 people nelmor subhacom brockkirwan starz1010101 Lyngbya sen_cheng robotact
  • Statistics of natural time-varying images
    (1995)
    by D Dong, J Atick
    posted to computational_neuroscience natural_scenes optimal_coding vision by rmaertin on 2008-05-11 10:05:23 as ** along with 3 people and 1 group taltversky dcorney i-stevenson Kording Lab
  • Statistics of natural images: Scaling in the woods
    Physical Review Letters, Vol. 73, No. 6. (1994), 814.
    by Daniel L Ruderman, William Bialek
    posted to computational_neuroscience computer_vision natural_scenes optimal_coding vision by rmaertin on 2008-05-11 10:04:44 as ** along with 1 person and 1 group i-stevenson Kording Lab
  • What does the retina know about natural scenes?
    Neural Comput., Vol. 4, No. 2. (March 1992), pp. 196-210.
    by Joseph J Atick, Norman A Redlich
    posted to computational_neuroscience optimal_coding vision by rmaertin on 2008-05-11 10:03:33 as ** along with 1 person and 1 group i-stevenson Kording Lab
  • How are complex cell properties adapted to the statistics of natural stimuli?
    J Neurophysiol, Vol. 91, No. 1. (January 2004), pp. 206-212.
    by KP Körding, C Kayser, W Einhäuser, P König
    posted to computational_neuroscience neural_networks optimal_coding unsupervised_learning vision by rmaertin on 2008-05-10 15:08:32 as ** along with 3 people and 2 groups bayesian rajatr i-stevenson vision-ng Kording Lab
  • Emergence of simple-cell receptive field properties by learning a sparse code for natural images.
    Nature, Vol. 381, No. 6583. (13 June 1996), pp. 607-609.
    by BA Olshausen, DJ Field
    posted to computational_neuroscience optimal_coding unsupervised_learning vision by rmaertin on 2008-05-10 15:03:56 as ** along with 6 people LaurentPerrinet starz1010101 bayesian yama_tah sbarthelme mrkrause
  • Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory.
    J Neurosci, Vol. 16, No. 10. (15 May 1996), pp. 3351-3362.
    by Y Dan, JJ Atick, RC Reid
    posted to computational_neuroscience lgn optimal_coding vision by rmaertin on 2008-05-10 15:00:53 as ** along with 5 people and 1 group memming sschafer napvasconcelos jagged_arrow i-stevenson Kording Lab
  • Development and plasticity of cortical areas and networks.
    Nat Rev Neurosci, Vol. 2, No. 4. (April 2001), pp. 251-262.
    by M Sur, CA Leamey
    posted to learning plasticity theoretical_neuroscience by rmaertin on 2008-05-08 11:00:18 as ** along with 3 people balicea r03ert0 cassandragould
  • Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
    Int. J. Comput. Vision, Vol. 42, No. 3. (2001), pp. 145-175.
    by Aude Oliva, Antonio Torralba
    posted to computer_vision gist support_vector_machines by rmaertin on 2008-02-26 13:04:18 as read along with 1 person emreakbas
  • Map learning with uninterpreted sensors and effectors
    Artificial Intelligence, Vol. 92, No. 1-2. (1997), pp. 169-227.
    by David Pierce, Benjamin J Kuipers
    posted to machine_learning sensorimotor sensorimotor_organization unsupervised_learning by rmaertin on 2008-02-03 14:25:42 as read along with 2 people kira reggiani
  • Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
    (01 June 1982)
    by David Marr
    posted to computational_neuroscience computer_vision neuroscience perception vision by rmaertin on 2008-01-02 14:16:17 as ** along with 7 people and 6 groups bayesian jekky neilh awooga ephel rlai napvasconcelos CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR S-Lab MITCCI
  • Support vector machine learning for interdependent and structured output spaces
    by I Tsochantaridis, T Hofmann, T Joachims, Y Altun
    posted to kernel_methods machine_learning support_vector_machines by rmaertin on 2007-11-19 16:48:28 as read along with 2 people frcchang bemike
  • Multi-class support vector machines
    (1998)
    by J Weston, C Watkins
    posted to kernel_methods machine_learning support_vector_machines by rmaertin on 2007-11-19 16:45:37 as read along with 2 people Mohan-S sachina
  • Ensemble based systems in decision making
    (2006)
    by Robi Polikar
    posted to boosting ensemble_methods machine_learning by rmaertin on 2007-11-14 09:54:33 as read along with 1 person mamadoudiao
  • Correlations Without Synchrony
    Neural Computation, Vol. 11, No. 7., pp. 1537-1551.
    by CD Brody
    posted to computational_neuroscience neuroscience shift_predictor spikes theoretical_neuroscience by rmaertin on 2007-11-14 09:44:58 as ** along with 2 people bayesian sam1001
  • Beyond sensory substitution—learning the sixth sense
    Journal of Neural Engineering, Vol. 2, No. 4. (December 2005), R13.
    by Saskia K Nagel, Christine Carl, Tobias Kringe, Robert Märtin, Peter König
    posted to sensorimotor sensory_substitution smc by rmaertin on 2007-11-10 13:31:20 as read along with 1 person fabianhemmert
  • Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells.
    J Neurophysiol, Vol. 79, No. 2. (February 1998), pp. 1017-1044.
    by K Zhang, I Ginzburg, BL McNaughton, TJ Sejnowski
    posted to bayesian computational_neuroscience decoding hippocampus place_fields theoretical_neuroscience by rmaertin on 2007-11-10 13:27:09 as *** along with 2 people bayesian apeyrache
  • Spatial Learning Depends on Both the Addition and Removal of New Hippocampal Neurons
    PLoS Biology, Vol. 5, No. 8. (1 August 2007), e214.
    by David Dupret, Annabelle Fabre, Màtè D Döbrössy, Aude Panatier, José J Rodríguez, Stéphanie Lamarque, Valerie Lemaire, Stephane H Oliet, Pier-Vincenzo Piazza, Djoher N Abrous
    posted to hippocampus learning navigation place_fields by rmaertin on 2007-11-10 13:19:58 as read along with 2 people clarowalnut sen_cheng
  • A Tutorial on Support Vector Machines for Pattern Recognition
    Data Mining and Knowledge Discovery, Vol. 2, No. 2. (1998), pp. 121-167.
    by Christopher JC Burges
    posted to kernel_methods machine_learning support_vector_machines by rmaertin on 2007-11-10 12:40:49 as read along with 2 people dreamneo PeterRabbit
  • On the decrease of entropy in a thermodynamic system by the intervention of intelligent beings
    Behavioral Science, Vol. 9, No. 4. (1964), pp. 301-310.
    by Leo Szilard
    posted to information_theory by rmaertin on 2007-11-10 12:38:57 as ** along with 1 person muraken
  • A tutorial on support vector regression
    (1998)
    by A Smola, B Sch
    posted to kernel_methods machine_learning support_vector_machines by rmaertin on 2007-11-10 12:35:11 as read along with 1 person and 1 group lmarti estimation_of_distribution_algorithms
  • A Model of the Ventral Visual System Based on Temporal Stability and Local Memory
    PLoS Biology, Vol. 4, No. 5. (1 May 2006), e120.
    by Reto Wyss, Peter König, Paul F Verschure
    posted to hippocampus neural_networks objective_functions place_fields unsupervised_learning by rmaertin on 2007-10-11 11:57:34 as read along with 2 people and 1 group neilh cijat S-Lab
  • Is there something out there?: Inferring space from sensorimotor dependencies
    Neural Comput., Vol. 15, No. 9. (September 2003), pp. 2029-2049.
    by D Philipona, JK O'Regan, JP Nadal
    posted to manifold sensorimotor smc unsupervised_learning by rmaertin on 2007-10-11 11:55:35 as read along with 1 person Peterfine
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