- About our group
- How to contact us
- People
- Projects
- 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
- Publications
- Events
- 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
- In the News
- Positions
- Intranet
Model-based source localization of extracellular action potentials
Traditional current source density calculation method (CSD) method allows calculation of neural current source distribution from the extracellular potential patterns, thus provides important information for neurophysiology. The traditional CSD method is based on strong physical foundations, but uses some assumptions, which can not hold for single cell activity. By this reason, traditional CSD method gives false results for single cell activity. A new, spike CSD (sCSD) method have been eveloped, directly designed for revealing current source density distribution of a single cell, during firing. This new method is based on the inverse solution of the Poisson-equation and were applied on extracellular spatial potential patterns of spikes.

The spikes were measured in cat primary auditory cortex with
a 16 channel chronically implanted linear probe in vivo. Using our new method, many fine
details of the spatio-temporal dynamics of spikes were uncovered. Dendritic back propa-
gation was proven to be much more frequent than it was known before, it was observable
in every cell. The speed of back propagation was typically different in the apical and basal
directions. In contrast to the literature, forward propagation preceding the spikes was also
observable. In perspective, this new method raises the possibility of identifying synaptic
inputs, which causes a cell fire.