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Large-scale modeling – a tool for conquering the complexity of the brain
by
Djurfeldt, Mikael
in
Biologi
/ Biology
/ Brain
/ Cell and molecular biology
/ Cell- och molekylärbiologi
/ Computational neuroscience
/ Cortex
/ large-scale model
/ Memory
/ modeling methodology
/ NATURAL SCIENCES
/ NATURVETENSKAP
/ Neurobiologi
/ Neurobiology
/ Neurons
/ Neuroscience
/ Neurosciences
/ Ordinary differential equations
/ Parallel Computing
/ Realism
/ Reductionism
/ simulation
/ subsampling
2008
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Large-scale modeling – a tool for conquering the complexity of the brain
by
Djurfeldt, Mikael
in
Biologi
/ Biology
/ Brain
/ Cell and molecular biology
/ Cell- och molekylärbiologi
/ Computational neuroscience
/ Cortex
/ large-scale model
/ Memory
/ modeling methodology
/ NATURAL SCIENCES
/ NATURVETENSKAP
/ Neurobiologi
/ Neurobiology
/ Neurons
/ Neuroscience
/ Neurosciences
/ Ordinary differential equations
/ Parallel Computing
/ Realism
/ Reductionism
/ simulation
/ subsampling
2008
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Do you wish to request the book?
Large-scale modeling – a tool for conquering the complexity of the brain
by
Djurfeldt, Mikael
in
Biologi
/ Biology
/ Brain
/ Cell and molecular biology
/ Cell- och molekylärbiologi
/ Computational neuroscience
/ Cortex
/ large-scale model
/ Memory
/ modeling methodology
/ NATURAL SCIENCES
/ NATURVETENSKAP
/ Neurobiologi
/ Neurobiology
/ Neurons
/ Neuroscience
/ Neurosciences
/ Ordinary differential equations
/ Parallel Computing
/ Realism
/ Reductionism
/ simulation
/ subsampling
2008
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Large-scale modeling – a tool for conquering the complexity of the brain
Journal Article
Large-scale modeling – a tool for conquering the complexity of the brain
2008
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Overview
Is there any hope of achieving a thorough understanding of higher functions such as perception, memory, thought and emotion or is the stunning complexity of the brain a barrier which will limit such efforts for the foreseeable future? In this perspective we discuss methods to handle complexity, approaches to model building, and point to detailed large-scale models as a new contribution to the toolbox of the computational neuroscientist. We elucidate some aspects which distinguishes large-scale models and some of the technological challenges which they entail.
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