Sven Dahne

Bernstein Center for Computational Neuroscience
Berlin, Germany

spike train analysis, attention/memory
general principles of neural computation,
objective functions (predictability)

Dejan Pecevski

Institute for Theoretical Computer Science
Graz University of Technology, Austria

plasticity, self-organization, development

Marcelo Dietrich

Department of Biochemistry, UFRGS, Brazil

synaptic plasticity, neuroenergetics, 
small neuronal networks, ion channels

Daniel Schad

University of Potsdam, Germany

reward, decision making, reinforcement
learning, eye movements, reading

Dmitry Kit

University of Texas, Austin, USA

active vision, predictive sensor models
machine learning

Tom Fitzgerald

King's College London/University College London, UK

LFPs, Synchronisation, Time Series Analysis

Marian Tsanov

Trinity College Institute of Neuroscince, Dublin,
Ireland

synaptic plasticity, episodic memory, 
learning models, reinforcement learning,
neural networks.

Roberto A. Vazquez

Center for Computing Research-IPN

pattern recognition, visual system,
associative memory

Cyrus Omar

Carnegie Mellon University 
Center for the Neural Basis of Cognition, USA

realistic models of neurons(particularly
plasticity) and networks

Garrett Neske

New York University, Center for Neural Science,
Courant Institute of Mathematical Sciences, USA

dynamical systems theory, oscillations
and synchronization, signal propagation
in biological neural networks,
reliability in spike timing

Constantin Rothkopf

FIAS, Germany

reinforcement Learning, eye movements,
statistical learning, natural tasks

Jon Newman

The Georgia Institute of Technology and 
Emory University, USA

Homeostatic regulation of patterned
activity at the network level, the role
of multistability in neural computation,
activity dependent memory storage in 
small neural circuits(the physical
basis of short term memory, dynamical
systems and invertebrate neuroscience

Daliang Li

Information processing, self organization
representation/coding of information in 
networks, association

Emre Yaksi

small network simulations, time based 
analysis,multivariate statistical analysis

Valentina Pasquale

Italian Institute of Technology and 
University of Genova, Italy

in vitro neuronal cultures, multichannel
recordings, neural coding,
synaptic plasticity

Julian Gehring

University of Freiburg, Germany

synchronous activity, LFP,
broadband high-gamma, modeling,
networks

Lucas Pinto

Federal University of Minas Gerais - Brazil

Multi-electrode recordings (spikes, LFP)
visual system, visual perception
neural synchrony, time series anaysis

Thomas Rajat Mani 

Kapteyn Astronomical Institute, The Netherlands

Non-linear dynamics, synchronization.
network theory (small worlds)
information flow

Simon-Shlomo Poil

Section Integrative Neurophysiology , CNCR
VU University Amsterdam

modelling of neuronal oscillations

Hernan Rey

University of Buenos Aires, Argentina

rules learning, concept learning,
reinforcement learning, associative
cortices, psychophysics

Otti D'Huys

Vrije Universiteit Brussel, Brussels, Belgium

synchronization, (small) networks,
influence of delays

Davide Viggiano

Dept.Helth Sciences, University Campobasso, Italy

reinforcement learning, attention/memory
locomotor activity, neuroanatomy
dopamine system
 

Hannah Dold

Bernstein Center for Computational Neuroscience
Berlin, Germany

population codes, neural coding,
visual processing, learning

Guadalupe C. Garcia

Departamento de Fisica, Universidad de Buenos Aires,
Argentina

nonlinear dynamics, neural networks,
synchronization, auditory system

Somayeh Raiesdana

Islamic Azad University, Tehran, Iran

neural synchrony in brain disorder,
epilepsy, nonlinear dynamics and chaos,
network modelling, self organization,
nonlinear ISI analysis

Aatira Nedungadi

Indian Institute of Science, Bangalore, India

time series modelling, causality analysis,
networking

Eleonora Russo

SISSA Trieste, Italy

cortex, layer, column, subnetwork, network
efficiency

Robert Martin

Institute of Cognitive Science, University of Osnabruck

multivariate time-series analysis
(sensorimotor data), learning state space
representations, prediction, predictability,
objective functions, (computer) vision

Guillaume Hennequin

EPFL Lausanne, Switzerland

STDP, sensory processing, RF development,
networks