Program of the 2013 course

Week 1 (director: Dieter Jaeger)

• 9:15-9:30 Introduction to the course
• 9.30-11.00 Dieter Jaeger
  Introduction to biological neural circuitry
  
• 11.30-13.00 John Rinzel
  Hodgkin-Huxley and the nonlinear dynamics of neuronal excitability
  
• 15.00-16.00 Software previews and introduction of tutors
• 16.00-18.00 Discussions between students and tutors

• 9:15-9:30 Announcements
• 9.30-11.00 John Rinzel
  Dendritic integration and cable theory
  
• 11.30-13.00 Dieter Jaeger
  Building biophysical models of neuronal excitability and synaptic integration
  
• 15.00-16.30 - XPP tutorial, by Jorge Jaramillo
  
• 16.30-18.00 - Python tutorial, by Tomasz Smolinski
  

• 9:15-9:30 Announcements
• 9.30-11.00 Maria Sanchez-Vives
  Cortical microcircuits and cell types - from anatomy to models.
  
• 11.30-13.00 Astrid Prinz
  Models of synaptic plasticity: learning and homeostasis
  
• 15.00-16.30 - Neuron tutorial, Cliff Kerr
  
• 16.30-18.00 - Matlab tutorial, Paolo Massobrio, Sina Tootsoonian
  
• Evening lecture: Eric de Schutter
  Data sharing and data publishing. A foray into neuroinformatics
  

• 9:15-9:30 Announcements
• 9.30-11.00  Maria Sanchez-Vives
  Modeling cortical function with biophysical neuron models
  
• 11.30-13.00 Erik de Schutter
  Modeling biochemical reactions and diffusion: from simple to detailed
  
• 15.00-16.30 - NEST tutorial, Sacha Van Albada
  

• 9:15-9:30 Announcements
• 9.30-11.00 Astrid Prinz
  Principles and models of invertebrate motor pattern generation.
  
• 11:30-13:00 Erik De Schutter
  Parameter optimization in neural modeling
  
• Afternoon
  Short (2 minute) presentations of all projects by the students
  
• Evening
  Party organized by students

Week 2 (Director: Carl van Vreeswijk)

• 9:15-9:30 Announcements
• 9.30-11.00 Carl van Vreeswijk
  From Neuron to Network
  
• 11.30-13.00 Carole Levenes
  Developement of the cerebellum
  

• 9:15-9:30 Announcements
• 9.30-11.00 Daniel Wojcik
  From transmembrane currents to extracellular potentials and back
  
• 11.30-13.00 Ad Aertsen
  Application of neural field potentials: brain-machine interfaces
  

• 9:15-9:30 Announcements
• 9.30-11.00 Carole Levenes
  The function of the cerebellum
  
• 11.30-13.00 Carl van Vreeswijk
  Irregular activity: the balance hypothesis
  

• 9:15-9:30 Announcements
• 9.30-11.00 Daniel Wojcik
  From spike trains to mice behavior - an introduction to point processes.
  
• 11.30-13.00Ad Aertsen
  Synchrony in spiking network models
  

• 9:15-9:30 Announcements:
• 9.30-11.00 Hermann Cuntz
    Modeling the morphology of dendrites
  
• 11.30-13.00 Carl van Vreeswijk
  Function in balanced networks
  
• 16.00 - Party preparations
  

Week 3 (Director: Mate Lengyel)

• 9.30-11.00 Rich Turner
  Bayesian inference and generative models I
  
• 11:30-13:00 Mate Lengyel
  Learning and memory I
  

• 9.30-11.00 Rich Turner
  Bayesian inference and generative models II
  
• 11:30-13:00 Peggy Series
  Neural coding and population coding I
  

• 9.30-11.00 Peggy Series
  Neural coding and population coding II
  
• 11:30-13:00 Quentin Huys
  Reinforcement learning I
  

• 9.30-11.00 Quentin Huys
  Reinforcement learning II
  
• 11:30-13:00 Christian Machens
  Efficient coding and infomax I
  

• 9.30-11.00 Christian Machens
  Efficient coding and infomax II
  
• 11:30-13:00 Mate Lengyel
  Learning and memory II
  

Week 4 (Director: Ehud Ahissar)

• 9.30-11.00 Ehud Ahissar
  Empirically-testable theories in natural sciences
  
• 11:30-13:00 Kevin O'Regan
  A sensorimotor theory of perception and its testing
  

• 9.30-11.00 Mathew Diamond
  Extracting and remembering statistical data from complex sensory stimuli - hypotheses and testing
  
• 11:30-13:00 Kevin O’Regan
  Conscious versus unconscious perception: Theory and experiment.
  

• 9.30-11.00 Matthew Diamond
  Comparing stimulus dimensions across modalities: Theory and experiment
  
• 11:30-13:00 Ehud Ahissar
  Open versus closed loop theories of perception