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High dimensional dynamics and low dimensional readouts in neural microcircuits (Haeusler et al 2006)
Accession: 82394
We investigate generic models for cortical microcircuits, i.e. recurrent circuits of integrate-and fire neurons with dynamic synapses. These complex dynamic systems subserve the amazing information processing capabilities of the cortex, but are at the present time very little understood. We analyze the transient dynamics of models for neural microcircuits from the point of view of one or two readout neurons that collapse the high dimensional transient dynamics of a neural circuit into a 1- or 2--dimensional output stream. See paper for more and details.
Reference: Haeusler S, Markram H, Maass W (2003) Perspectives of the high dimensional dynamics of neural microcircuits from the point of view of low dimensional readouts. Complexity (special issue on Complex Adaptive Systems)
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Model Type:  Network;
Brain Region(s)/Organism:  Neocortex;
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Simulation Environment:  CSIM (web link to model);
Model Concept(s):  Activity Patterns; Simplified Models; Attractor Neural Network;
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neural micro circuits
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S. Häusler, H. Markram, and W. Maass, 2003

    The package haeusler_etal_2003.zip contains the software for the simulations for figure 1, 2, 3, 5, 6 and 7 of the article Perspectives of the high dimensional dynamics of neural microcircuits from the point of view of low dimensional readouts.

    Installation

    If you have Linux or Windows it should basically suffice to unpack the zip files in a directory of your choice and to add this directory to your Matlab search path.

    Here is a step by step installation procedure:

    1. Install the Learning-Tool package.
    2. Download the haeusler_etal_2003 package from above.
    3. Unzip the file (e.g. using WinZip). This will create a subdirectory haeusler_etal_2003.
    4. Start Matlab and change into the directory haeusler_etal_2003
    5. Add the path haeusler_etal_2003 to the Matlab search path; e. g:
      • addpath('/yourpath/haeusler_etal_2003');
      • addpath('c:\yourpath\haeusler_etal_2003');
    6. Add the lsm path 'yourpath/lsm' to the Matlab search path where lsm_startup resides; e. g:
      • addpath('/yourpath/lsm');
      • addpath('c:\yourpath\lsm');

    Software description

    The package contains the following executable files:

    1. Figure_1&2_Classification.m
    2. Figure_3_Noisy_classification.m
    3. Figure_5_Trajectories_for_different_weight_setups.m
    4. Figure_6&7_Dependence_of_the_smoothness_on_the_circuit_size.m
 
(C) 2003, Thomas Natschläger last modified 06/12/2006

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