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Key dates

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ACCN 2012 schedule


January

January 9: application start

April

April 15: application deadline
April 22: deadline for letters of recommendation

May

May: notification of results
May: deadline for acceptance of invitation
Late May: tutor review phase starts

June

early June: tutor review phase ends; start of work with tutors
mid June: course fee due
late June: accommodation forms due

July/August (Course: July 31-August 24)

July 28-29: arrival
July 29, 20:00 welcome party at the hotel
July 30, 9:00 course starts
August 24: final presentations
August 24, 20:00: farewell party



Program of the course



Week 1 (director: Dieter Jaeger)


Monday:
  • 9:15-9:30 Introduction to 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
   Later:  Discussions between tutors and directors

Tuesday

  • 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 John Rinzel
  • 16.30-18.00 - Python tutorial, by Friedmann Zenke, Michael Hull
Wednesday
  • 9:15-9:30 Announcements
  • 9.30-11.00 Alain Destexhe
     Cortical microcircuits and cell types - from anatomy to models.

  • 11.30-13.00 Erik de Schutter
      Modeling biochemical reactions and diffusion: from simple to detailed

  • 15.00-16.30 - Neuron tutorial, Michael Hull, Daniele Linaro
  • 16.30-18.00 - Matlab tutorial, Daniele Linaro, Cristina Savin
    
  • Evening lecture: Eric de Schutter “Data sharing and data publishing”


Thursday
  • 9:15-9:30 Announcements
  • 9.30-11.00  Alain Destexhe.
          The in vivo high-conductance state of cortical networks - computational implications

  • 11.30-13.00 Magnus Richardson

        From Hodgkin-Huxley to integrate-and-fire models
       

  • 15.00 - 16.30 - NEST tutorial, Brigit Kriener
  • 16.30 - 18.30 - Brian tutorial, Laure Buhrer, Friedmann Zenke

Friday
  • 9:15 - 9:30 Announcements
  • 9.30 - 11.00    Magnus Richardson

       Using Fokker-Planck methods for populations/networks of neurons.
  • 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)


Monday

  • 9:15 - 9:30 Announcements
  • 9.30-11.00 Carl van Vreeswijk
    From Neuron to Network
  • 11.30-13.00 Daniel Wojcik
    From transmembrane currents to extracellular potentials and back

Tuesday
  • 9:15-9:30 Announcements
  • 9.30-11.00 German Mato
    Collective dynamics and synchrony in large networks.
  • 11.30-13.00 Ad Aertsen
    Application of neural field potentials: brain-machine interfaces
  • 15.00-16.30 - tutorial on Fokker-Planck equation - by Carl van Vreesvijk
Wednesday

  • 9:15-9:30 Announcements
  • 9.30-11.00 Carole Levenes
    Developement of the cerebellum
  • 11.30-13.00 Daniel Wojcik
    From spike trains to mice behavior - an introduction to point processes.
Thursday

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

  • 9:15-9:30 Announcements:
  • 9.30-11.00 German Mato
    Dynamics and coding in spiking and bursting neurons
  • 11.30-13.00 Ad Aertsen
    Synchrony in spiking network models
  • 16.00 - PARTY PREPARATIONS

Saturday
  • 10.00 to be announced


Week 3 (Director: Mate Lengyel, updated)


Monday:

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

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

Wednesday:
  •  9.30-11.00 Peggy Series
      Neural coding and population coding II
  •  11:30 - 13:00 Quentin Huys
       Reinforcement learning I
Thursday:
  •  9.30-11.00 Quentin Huys   
       Reinforcement learning II
  • 11:30 - 13:00 Gasper Tkacik
      Maximum entropy models and natural scene statistics I
 
Friday:
  •  9.30-11.00 Gasper Tkacik
       Maximum entropy models and natural scene statistics II

  •  11:30 - 13:00 Mate Lengyel
         Learning and memory II

Week 4 (Director: Yifat Prut, updated)

Monday:
  • 9.30-11.00 Yifat Prut
      Organizational principles in the motor system.
  • 11:30 - 13:00 Ronen Segev
      Information processing in the retina.

Tuesday:
  • 9.30-11.00 Eli Nelken
      Modeling the auditory system.
  • 11:30 - 13:00 Yifat Prut
      Computational approach to motor control.

Wednesday:
  • 9.30-11.00 Ronen Segev
      Information processing in the early visual system
  • 11:30 - 13:00 Eli Nelken
     The coding of surprise in the auditory system

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