IPEG meeting

 

 

 

The 19th biennial IPEG Meeting will be held in NIJMEGEN, THE NETHERLANDS from 26th to 30th October 2016

 

Download FINAL PROGRAM

 

REGISTER NOW

 

Keynote speakers include:

 

Fernando Lopes da Silva

Ole Jensen

Igor Timofeev
Hans-Peter Landolt
Sandra Loo

 

CERTIFICATE OF ATTENDANCE

 

 

This conference has been accredited by the Dutch association for Psychiatrists (NVvP) for 24 points

 

Note: In case that an announced speaker will not appear at the meeting, the IPEG will not be able to reimburse your registration.


The IPEG is a professional association for scientists and researchers actively involved in electrophysiological brain research in preclinical and clinical pharmacology, neurotoxicology, personalized medicine and related areas of interest.

The IPEG has been organizing biennial meetings since its conception in 1980. The last meetings were in Leipzig (Germany - 2014), New York (USA – 2012), Prague (Czech Republic - 2010), Rouffach (France - 2008), Awaji (Japan - 2006), Antwerp (Belgium - 2004) and Barcelona (Spain - 2002).

 

 The abstract book for the IPEG 2014 meeting in Leipzig can be downloaded here

 The abstract book for the IPEG 2012 meeting in New York can be downloaded here.

 

  

Consider becoming an IPEG Member? See our updated membership application page.

 

 

 

News



Facebook to Brainbook

Ever since humans have thought of communication without the spoken language. Be it a dream or a trip on psychoactive drugs such as LSD [...] read more

...
Read more

International Conference on Basic and Clinical Multimodal Imaging

BaCI conference - where experts in basic and clinical neuroscience meet - is taking place in Bern, Switzerland from August 29 to September 2 2017.

...
Read more

Brain Computation Is Organized via Power-of-Two-Based Permutation Logic

The power-of-two-based permutation logic – which has been proposed to be the root origin of intelligence – has been shown to be used widely in cortical and subcortical circuits, across animal species and can account for a large range of neural networks.

...
Read more