Speakers
Speakers are listed below:
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
Theory
-
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