Speakers

Experiments

• Barbara Birtoli, Berne
  Firing mode dependent synaptic plasticity in rat neocortical pyramidal neurons abstract
• Dean Buonomano, UCLA
  STDP is not a good learning rule for temporal processing. abstract
• G.Q Bi, Pittsburgh
  Time-Dependent Interaction between Synaptic Potentiation and Depression abstract
• Dominique Debanne, Marseille
  STDP, intrinsic plasticity and reliability of spike timing abstract
• Nace Golding, Texas
  Dendritically-initiated spikes and synaptic plasticity abstract
• Mark Hubener, MPI of Neurobiology, Munich
  Modification of functional maps in the visual cortex by STDP abstract
• Mayank Mehta, Brown
  Rhythm, rate and timing abstract
• Henry Markram, EPFL, Lausanne
  Some old (and some new) results on STDP abstract
• Miguel Remondes, Caltech
  The temporoammonic control of CA1 synaptic activity . plasticity of time-dependent modulation abstract
• Alice René, CNRS, Gif
  Revisiting the impact of spike-timing-dependent plasticity in the shaping of adult visual cortical receptive fields in vivo abstract
• Jesper Sjoestroem, Brandeis and London Presynaptic NMDA receptors, cannabinoid release and LTD induction in neocortical layer-5 cells
  abstract
• Sam Wang, Princeton
  Functional dissection of the CA3-CA1 learning rule abstract

• Henry D.I. Abarbanel, UCSD
  Dynamics of Birdsong Stability abstract
• Michael Eisele, UCF
  Mending existing links instead of learning new ones abstract
• S. Fusi, Bern
  A multi-timescale model of memory abstract
• W. Gerstner, Lausanne
  In what sense is STDP optimal? abstract
• R. Guetig, Berlin
  Learning Input Correlations through Nonlinear Temporally Asymmetric > Hebbian Plasticity abstract
• Leo van Hemmen, TU Munich .
  What Avian and Mammalian Sound Localization Have in Common: STDP abstract
• John J. Hopfield, Princeton
  Learning rules and network repair abstract
• Mickey London, UCL
  abstract
• Paul Munro, Pittsburgh
  Tutorial on BCM rules abstract
• R. Rao, Univ. of Washington
  STDP and Predictive Coding abstract
• P.D. Roberts, Oregon
  Stochastic Approaches to Spike-timing dependent plasticity: Electrosensory adaptation abstract
• Ausra Saudargiene
  Local rules of synaptic modification abstract
• Ila Fiete, MIT
  Learning by reinforcement of variation due to injected noise in spiking networks abstract
• Harel Shouval, University of Texas
  An integrated approach to synaptic plasticity: from biophysics to receptive fields. abstract
• Haim Sompolinsky, Jerusalem
  Can Neurons Trade Space for Time abstract
• Walter Senn, Bern
  Learning with bounded synapses generates synaptic democracy and balanced neurons abstract
• Misha Tsodyks, Weizmann
  Asymmetric synaptic plasticity and learning of context in recurrent neural networks abstract