Scaling effects in a model of the olfactory bulb

Authors:
Malin Sandström;Jeanette Hellgren Kotaleski;Anders Lansner
Affiliations:
Department of Computer Science and Communication, Royal Institute of Technology, Sweden;Department of Computer Science and Communication, Royal Institute of Technology, Sweden;Department of Computer Science and Communication, Royal Institute of Technology, Sweden and Stockholm University, Stockholm, Sweden
Venue:
Neurocomputing
Year:
2007

Citing 5
Cited 0

Cholinergic modulation of sensory representations in the olfactory bulb

Neural Networks - Computational models of neuromodulation
Asynchronous states and the emergence of synchrony in large networks of interacting excitatory and inhibitory neurons

Neural Computation
Effects of Noisy Drive on Rhythms in Networks of Excitatory and Inhibitory Neurons

Neural Computation
Oscillatory Synchronization Requires Precise and Balanced Feedback Inhibition in a Model of the Insect Antennal Lobe

Neural Computation
The Number of Synaptic Inputs and the Synchrony of Large, Sparse Neuronal Networks

Neural Computation

Quantified Score

Hi-index	0.01

Visualization

Abstract

Most computational models of the olfactory bulb are much smaller than any biological olfactory bulb-usually because the number of granule cells is much lower. The resulting subsampling of the inhibitory input may distort network dynamics and processing. We have constructed a large-scale model of the zebrafish olfactory bulb, as well as two smaller models, using the efficient parallellizing neural simulator SPLIT and data from a previously existing GENESIS model. We are studying several characteristics-among them overall behaviour, degree of synchrony of mitral cells and the timescale of appearance of synchrony-using cross-correlation plots and synthesized EEGs. Larger models with higher proportions of granule cells to mitral cells appear to give more synchronized output, especially for stimuli with shorter timescales.