CAJAL TRAINING COURSES 2015

The  CAJAL  Advanced  Neuroscience   Training  Programme   is   a   FENS  and   IBRO   ini>a>ve   in  partnership   with   Bordeaux   Neurocampus  and  the  Champalimaud  Founda>on.

The  CAJAL  Advanced  Neuroscience  Training  Programme  offers  state-­‐of-­‐the-­‐art  

interna>onal  hands-­‐on  training  courses  in  neuroscience.  Topics  in  the  2015  course  programme  include  behavioural  systems,  computa>onal  neuroscience,  neuro-­‐informa>cs  and  synapse  biology.  

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FENS  -­‐  Federation  of  European  Neuroscience  Societies  

• Contact  cajal@fens.org  

• Visit  FENS  website  fens.org/Training/CAJAL-­‐programme/

Behaviour  and  Neural  Systems  12  July  -­‐  1  August  2015

Champalimaud  FoundaDon  

Quan>ta>ve  and  qualita>ve  studies  of  behaviour  are  fundamental   in   order   to   understand   brain   func>on  and   malfunc>on.   Recently,   the   techniques   for  studying   behaviour,   or  monitoring   and  manipula>ng  neural   ac>vity   during   behaviour,   have   progressed  rapidly.

This   course  provides  experience   in   the  experimental  use   of   these   advanced   methods.   Popular   model  organisms  (rodents,  drosophila  and  zebrafish)  will  be  used   to   demonstrate   how   modern   technology   (e.g.  video   tracking,   virtual   reality,   etc.)   can  be   combined  with  traditional  behavioural  approaches   to  perform   truly  i n n o va t i v e  neuroscience  investigations.  !!ScienDfic  chairs:  • Florian  Engert  (Harvard,  US)  • Adam  Kampff  (Champalimaud     Founda>on  and  

UCL,  UK)  • Zachary  Mainen  (Champalimaud  Founda>on,  PT)

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Advanced  Course  in  Computa8onal  Neuroscience  

9  -­‐  29  August  2015Champalimaud  FoundaDon  

Computa>onal   Neuroscience   is   a   rapidly   evolving  field  whose  methods  and  techniques  are  cri>cal   for  understanding  and  modeling  the  brain,  and  also   for  des ign ing   and   interpre>ng   exper iments .  Mathema>cal   modeling   is   one   of   the   few   tools  available   to   cut   through   the   vast   complexity   of  neurobiological   systems   and   their  many   interac>ng  elements.  

Courses  objec>ves:  • Provide   an   overview   of   computa>onal  

neuroscience   from   both   experimental   and  theore>cal  angles  

• Develop  quan>ta>ve  and  modeling  skills  • Foster   collabora>on   and   good   scien>fic   prac>ce  

through  team  work  

ScienDfic  chairs:  • Máté  Lengyel  (University  of  Cambridge,  UK)  • Chris>an  Machens  (Champalimaud  Founda>on,  

PT)  • Gilles  Laurent  (MPI,  Frankfurt,  DE)  

!!5  -­‐  7  August  2015:  Pre-­‐school  for  students  with  liele  or  no  programming  skills.

Advanced  Techniques  for  Synapse  Biology  

10  October  -­‐  31  October  2015  Bordeaux  Neurocampus  

The  microscopic  study  of  synapses  relies  on  a  large  array  of  advanced  techniques.  Successful  research  in   the   field   requires   technological   innova>on   and  the  interweaving  of  a  variety  of  approaches  at  the  molecular,  cellular,  and  func>onal  levels.    

The   course   will   allow  the   students   to  integrate   the   basic  t e c h n i q u e s   i n  molecular   and   cellular  neurobiology   with  advanced   state-­‐of-­‐the  art  molecular,   imaging  and   f unc t i ona l  methodolog ies ,  through   direct   hands-­‐on  experiments.  !ScienDfic  chairs:  • Maehjis  Verhage  (University  of  Amsterdam,  

NL)  • Laurent  Groc  (University  of  Bordeaux,  FR)  • Nathalie  Sans  (University  of  Bordeaux,  FR)

Bio-­‐Neuroinforma8cs  for  the  Neuroscien8st  

21  September  -­‐  2  October  2015  Bordeaux  Neurocampus  

Many  disciplines   are   engaged   in   neuroscience,   from  neurophysiology  and  structural  biology   to  psychiatry  and   linguis>cs;   each   providing   data   in   a   different  format.   It   is   important   to   retrieve   informa>on   from  this   en>re   mul>disciplinary   arena   through   available  databases.    

This   course   will   combine   basic   bioinforma>cs   with  neuroinforma>cs,   and   provide   students   with  experience   on   the   analysis   of   large   and   complex  datasets,   and   with   in-­‐depths   descrip>ons   of   the  different  datasets  currently  available  in  neuroscience.  

ScienDfic  chairs:  •   Marie-­‐Claude  Po>er  (CNRS-­‐INSERM-­‐UPMC,  FR)  •   Nicolas  Le  Novère  (Babraham  Ins>tute,  UK)  •   Macha  Nikolski  (University  of  Bordeaux,  FR)

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