Cornelius Weber

Junior Fellow, Neuro-Group
Frankfurt Institute for Advanced Studies
Johann Wolfgang Goethe University
Room 1.403, Ruth-Moufang-Straße 1
60438 Frankfurt am Main, Germany
Tel: +49 69 798 47530
Email:

Research

My work is committed to describe the structure of the brain in a simple way. Because the brain is very complex it has to be described by the mechanisms which generate it. Intrinsic mechanisms are those which have to be specified either by the genetic code or by the programmer. Activity-driven mechanisms are the contribution of the environment. More. ShortDescr.ppt
I have participated in the proposals and now administration of the following projects: Bernstein Focus: Neurotechnology Frankfurt and IM-CLeVeR.

CV

2002-5 Research Scientist, University of Sunderland, UK, Hybrid Intelligent Systems
2000-1 Postdoc, University of Rochester, NY, Brain and Cognitive Science
1995-2000 Teaching Assistant, acquisition of PhD, Technische Universität Berlin, NI group
1989-95 Study of Physics, Diploma, University of Bielefeld, department of physics, techfak
1987 Abitur, Max-Planck-Gymnasium Bielefeld

Web

Goal-Directed Learning of Features and Forward Models
S. Saeb, C. Weber and J. Triesch (2009) Neural Networks, 22(5-6), pp. 586-92.

Goal-Directed Feature Learning
C. Weber and J. Triesch (2009) In: Proc. IJCNN
; talk:

A Neural Model for the Adaptive Control of Saccadic Eye Movements
S. Saeb, C. Weber and J. Triesch (2009) In: Proc. IJCNN
; talk:

Implementations and Implications of Foveated Vision
C. Weber and J. Triesch (2009) Recent Patents on Computer Science, 2(1), pp. 75-85

From Exploration to Planning
C. Weber and J. Triesch (2008) In: Proc. ICANN

From Motor Babbling to Planning
C. Weber (March 2008) Bio-Inspired Autonomous Systems Workshop, Southampton, UK, invited talk
(abstract); talk:

How do we approach intrinsic motivation computationally?
C. Weber (2008) A commentary on this paper in Frontiers in Neurorobotics.

Reinforcement Learning Embedded in Brains and Robots
C. Weber, M. Elshaw, S. Wermter, J. Triesch and C. Willmot (2008) In: Reinforcement Learning: Theory and Applications
Simple examples in Python : Actor Critic , SARSA. GUI in Tcl/TK

Reservoir Computing for Sensory Prediction and Classification in Adaptive Agents
C. Weber, K. Masui, N.M. Mayer, J. Triesch and M. Asada (2008) In: Machine Learning Research Progress, NOVA publishers


A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
C. Weber and J. Triesch (2008) Neural Computation, 20, pp. 1261-84

Intrinsic plasticity in a generative model of V1
C. Weber and J. Triesch (2007) In: Proc. Dynamic Brain Forum
; poster:

Fire together — wire together — come together
C. Weber and J. Triesch (2007) In: Proceedings of COSYNE
(1-page abstract); animated gif

Neuronal tension may co-shape V1 orientation maps
C. Weber and J. Triesch (2007) In: Proceedings of the 31st Göttingen Neurobiology Conference
(1-page abstract); poster:

Toward Understanding the Visual System: the emergence of simple cells in V1
C. Weber (Oct. 2006) Internal talk at FIAS, and at a meeting of the "Daisy" EU project, Zürich, March 2007


Neural control of actions involving different coordinate systems
C. Weber, M. Elshaw,, J. Triesch and S. Wermter (2007) In: Humanoid Robots: Human-like Machines

A Self-organizing map of Sigma-Pi units
C. Weber and S. Wermter (2007) Neurocomputing, 70(13-15), 2552-2560
science direct link;

A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot
C. Weber and Muse, D. and M. Elshaw and S. Wermter (2006) Knowledge-Based Systems, 19(5), 348-55
Abstract

A possible representation of reward in the learning of saccades
C. Weber and J. Triesch (2006) In: Proc. Epigenetic Robotics, pp. 153-60
; talk:

A hybrid generative and predictive model of the motor cortex
C. Weber and S. Wermter and M. Elshaw (2006) Neural Networks, 19(4), 339-53
Abstract code intro: Simulator.ppt

Robot docking based on omnidirectional vision and reinforcement learning
D. Muse, C. Weber and S. Wermter (2006) Knowledge-Based Systems, 19(5), 324-32
Abstract

orig.	reconstr.	phase reconstr.

Image segmentation by complex-valued units
C. Weber and S. Wermter (2005) In: Proceedings of the ICANN Conference © Springer-Verlag
; talk:

Grasping with flexible viewing-direction with a learned coordinate transformation network
C. Weber, K. Karantzis and S. Wermter (2005) In: Proc. Humanoids
; demo's:

Reinforcement learning in MirrorBot
C. Weber, D. Muse, M. Elshaw and S. Wermter (2005) In: Proceedings of the ICANN Conference
; talk:

Grounding neural robot language in action
S. Wermter, C. Weber, M. Elshaw, V. Gallese and F. Pulvermuller (2005) In: Biomimetic Neural Learning for Intelligent Robots
Eds: S. Wermter, Palm, G. and M. Elshaw Springer, Heidelberg, ISBN: 3-540-27440-5
Abstract

A mirror neuron inspired hierarchical network for action selection
M. Elshaw, C. Weber, A. Zochios and S. Wermter (2004) In: Proceedings of NeuroBotics Workshop, Ulm, Germany, pp. 98-105


Neural robot control
C. Weber (December 2004) Invited talk at Nottingham Trent University


Associative neural models for biomimetic multi-modal learning in a mirror neuron-based robot
S. Wermter, C. Weber and M. Elshaw (2004) In: Modeling Language, Cognition and Action
Eds: Cangelosi, A. and Bugmann, G. and Borisyuk, R., World Scientific Publishing, ISBN 981-256-324-5
Abstract

Towards multimodal neural robot learning
S. Wermter, C. Weber, M. Elshaw, C. Panchev, H. Erwin and F. Pulvermuller (2004) Robotics and Autonomous Systems, 47, pp. 171-5


Robot docking with neural vision and reinforcement
C. Weber, S. Wermter and A. Zochios (2004) Knowledge-Based Systems, 17 (2-4), pp. 165-72
; demo's:

Visually guided grasping robot MIRA
C. Weber, A. Zochios, C. Rowan, M. Elshaw and S. Wermter (2003) Contribution winning the MACHiNE iNTELLiGENCE PRiZE
-article in the local newspaper Sunderland Echo; lab demo:

Object localization using laterally connected "what" and "where" associator networks
C. Weber and S. Wermter (2003) In: Proceedings of the joint ICANN/ICONIP Conference © Springer-Verlag
; animated gif

Self-organization of orientation maps, lateral connections, and dynamic receptive fields in the primary visual cortex
C. Weber (2001) In: Proceedings of the ICANN Conference
; GIF's of the weights: $Wbu$ $Vtd$ $Vlat$
One-page essay: De-noised coding by lateral interactions


Maximum a posteriori models for cortical modeling: feature detectors, topography and modularity
C. Weber (2000) PhD thesis, Technical University of Berlin


Emergence of modularity within one sheet of neurons: a model comparison
C. Weber and K. Obermayer (2001) In: Emergent Neural Computational Architectures based on Neuroscience
Eds: S. Wermter, J. Austin, D. Willshaw. Springer, Heidelberg, ISBN: 3-540-42363-X


Emergence of modularity within one sheet of intrinsically active stochastic neurons
C. Weber and K. Obermayer (2000) In: Proceedings of the ICONIP Conference, invited
; talk:

Structured models from structured data: emergence of modular information processing within one sheet of neurons
C. Weber and K. Obermayer (2000) In: Proceedings of the IJCNN Conference


Orientation selective cells emerge in a sparsely coding Boltzmann machine
C. Weber and K. Obermayer (1999) In: Proceedings of the 9th ICANN Conference

C. Weber and K. Obermayer (1999) In: Proceedings of the 27th Göttingen Neurobiology Conference
(1-page Abstract) Weight growth as animated gif (2.6 MB). Scales: 1x , 2x

Development and regeneration of the retinotectal map in goldfish: a computational study
C. Weber and H. Ritter, J. Cowan, and K. Obermayer (1997) Phil. Trans. Roy. Soc. Lond. B., 352, pp. 1603-1623

Support

I am working at the FIAS which is supported by a couple of sponsors .