• LNC2
New Ideas in Computational Neuroscience

The functional contribution of synaptic complexity to learning and memory

Surya Ganguli (Department of Applied Phyisics, Stanford University, USA)
  • LNC2
New Ideas in Computational Neuroscience

Breaking balance: how network architecture impacts spiking dynamics

  • IJN
  • LNC2
New Ideas in Social Cognition

Deference and Shared Concepts

Ecole Normale Supérieure,  45, rue d'Ulm 75005 Paris. Salle Dussane.

  • LNC2
New Ideas in Computational Neuroscience

Assembling coherence in neural populations

Eric Shea-Brown (University of Washington, Seattle, USA)
  • LNC2
New Ideas in Computational Neuroscience

Stability and computation in cortical circuits

Yashar Ahmadian (Center for Theoretical Neuroscience, Columbia University, New York, USA)
  • LNC2
New Ideas in Computational Neuroscience

Sensory signals for motor control during active sensing

Tansu Celikel (Radboud University Nijmegen, the Netherlands)
  • LNC2
New Ideas in Computational Neuroscience

Does the orbitofrontal cortex signal value?

Geoffrey Schoenbaum (NIH, USA)
  • LNC2
New Ideas in Computational Neuroscience

Normative models and identification of nonlinear neural representations

Matthias Bethge (Max Planck Institute for Biological Cybernetics, Tübingen, Germany)
  • LNC2
New Ideas in Computational Neuroscience

Gauging the influence of network activity on cortical neuron function

Daniel Butts (University of Maryland, USA)
  • LNC2
New Ideas in Computational Neuroscience

Physiology-Driven Models of Cortical Neurons & Networks: How Much Detail Do We Need?

Daniel Durstewitz (Zi-Mannheim, Germany)