- About our group
- How to contact us
- Computational Neuroscience Projects
- Complex Systems Projects
- Past projects
- EURESIST - Project
- ICEA - Modelling goal-directed navigation of the rat
- Hippocampal oscillations
- Study of sensory systems
- Software package for complex network analysis
- Dynamics of evolving networks
- A populational model of hippocampus CA3 region slices
- Development of hippocampal place fields
- Hippocampal coding and dynamics
- Location dependent differences between somatic and dendritic IPSPs
- Olfaction and its underlying stochastic phenomena
- The role of self-excitation in the development of topographic order
- CNS '15 Host Proposal
- IJCNN 11 Workshop
- Past events
- Minisymposium on Computational Aspects of Neurological and Psychatric Diseases
- Workshop on large scale random graphs
- Workshop on Cortico- Hippocampal dynamics: Navigation and Neuromodulation
- Joint Workshop on Neural Autonomous Robots
- Workshop on System Neuroscience
- Neuronhálózatok strukturális kérdései
- 7th Tamagawa Dynamic Brain Forum 2002
- Minisymposium on Computational Neuroscience
- Számítógepes neurológia konferencia, Problemák - Adatok - Modellek
- Budapest - Tampere Minisymposium on Computational Neurolgy
- Education / Oktatás
- Lectures and News
ICEA - Modelling goal-directed navigation of the rat
Our group takes part in a European Integrated Project (IST-027819) ICEA since January 2006. ICEA (Integrating Cognition, Emotion and Autonomy) is a four-year project on bio-inspired cognitive robotics and embodied cognition, bringing together cognitive scientists, neuroscientists, psychologists, computational modelers, roboticists and control engineers.
The primary aim of the project is to develop a cognitive systems architecture integrating cognitive, emotional and bioregulatory (self-maintenance) processes, based on the architecture and physiology of the mammalian brain. The twofold hypothesis behind this research is that:
- the emotional and bioregulatory mechanisms that come with the organismic embodiment of living cognitive systems also play a crucial role in the constitution of their high-level cognitive processes, and
- models of these mechanisms can be usefully integrated in artificial cognitive systems architectures, which will constitute a significant step towards truly autonomous robotic cognitive systems that reason and behave in accordance with energy and other self-preservation requirements.
Our primary aim is to built a computational model of the rat's hippocampal system which is able to navigate in several situations.
We work in close cooperation with the LPPA. The key aim of their neuro-physiological studies in the current proposal will be to identify the neural activity, and ensemble dynamics, underlying the acquisition and recall of three complementary strategies (praxic, beacon guidance and place recognition triggered response; see Trullier et al., 1997 for reference) for goal-directed action.
These different spatial orientation strategies may cooperate as well as compete during navigation behavior. We intend to build a model for these three strategies and study how the cooperation between them can help more precise localization.