0000000000916229

AUTHOR

Tomas Kulvicius

showing 2 related works from this author

Self-organization of Computation in Neural Systems

2015

When learning a complex task our nervous system self-organizes large groups of neurons into coherent dynamic activity patterns. During this, a cell assembly network with multiple, simultaneously active, and computationally powerful assemblies is formed; a process which is so far not understood. Here we show that the combination of synaptic plasticity with the slower process of synaptic scaling achieves formation of such assembly networks. This type of self-organization allows executing a difficult, six degrees of freedom, manipulation task with a robot where assemblies need to learn computing complex non-linear transforms and - for execution - must cooperate with each other without interfer…

Nervous systemSelf-organizationSynaptic scalingComputer sciencebusiness.industryComputationDistributed computingProcess (computing)Task (project management)medicine.anatomical_structureSynaptic plasticitymedicineRobotArtificial intelligencebusiness
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

2017

International audience; No abstract available

0301 basic medicineCerebellumComputer science[SDV]Life Sciences [q-bio]General Neurosciencelcsh:QP351-495Meeting Abstractslcsh:RC321-57103 medical and health sciencesCellular and Molecular Neurosciencelcsh:Neurophysiology and neuropsychology030104 developmental biologymedicine.anatomical_structuremedicineNeuronlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscienceComputingMilieux_MISCELLANEOUScomputational neuroscienceBMC Neuroscience
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