The Blue Brain Project

By Henry Markram. 2006

1,417 citations recorded by the source corpus.

IBM's Blue Gene supercomputer allows a quantum leap in the level of detail at which the brain can be modelled. I argue that the time is right to begin assimilating the wealth of data that has been accumulated over the past century and start building biologically accurate models of the brain from first principles to aid our understanding of brain function and dysfunction.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “…2015), based mainly on rate-based neurons and low precision in the computation appears to contrast with the low-level simulations of accurate bio-physical models such as the Blue Brain Project (Markram, 2006), intended to reveal the computational and learning properties of a cortical column.”
Artificial General Intelligence: Concept, State of the Art, and Future Prospects (2009, background): “The long-term goal of the project, now continuing in the EU with a large sum of government funding under the label “Human Brain Project”, is to “be able to simulate the full cortex of the human brain” (Markram, 2006).”
SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation (2013, background): “[10] in the Blue Brain Project at EPFL (which centres around in silico experimentation with the mammalian brain), Djurfeldt et al.”
Neuroscience-Inspired Artificial Intelligence. (2017, methodology): “Note this is where our approach to neuroscience-inspired AI differs from other initiatives, such as the Blue Brain Project (Markram, 2006) or the ﬁeld of neuromorphic computing systems (Esser et al., 2016), which attempt to closely mimic or directly reverse engineer the speciﬁcs of neural circuits (”
Colloquium: Criticality and dynamical scaling in living systems (2017, background): “Last but not least, the amazingly detailed computational model built within the large-scale collaborative Blue brain project (Markram, 2006) also suggests that the cortical dynamics operates at the edge of a synchronization phase transition (Markram et al., 2015).”
An efficient automated parameter tuning framework for spiking neural networks (2014, background): “…spiking neural networks (SNNs), there are still many challenges to overcome before these neurobiologically inspired algorithms can be used in practical applications that can be deployed on neuro-morphic hardware (Boahen, 2005; Markram, 2006; Nageswaran et al., 2010; Indiveri et al., 2011).”
Memory and Information Processing in Neuromorphic Systems (2015, background): “Questions still remain whether large-scale simulations are necessary to answer fundamental neuroscience questions [155], [156].”
Digital twin in healthcare: Recent updates and challenges (2023, background): “The Blue Brain Project, for example, began in 2005 as a collaboration between EPFL (Ecole Polytechnique Fédérale de Lausanne) and International Business Machines and aims to model the neocortical column.(23) Schütt et al.”
Firing patterns in the adaptive exponential integrate-and-fire model (2008, neutral): “Network simulations of large systems such as a column of the barrel cortex (Markram 2006), or thalamocortical systems (Hill and Tononi 2005; Izhikevich and Edelman 2008) require the description of different neuron types.”
Overview of the SpiNNaker System Architecture (2013, background): “The Blue Brain project at EPFL [10], is bringing together wet neuroscience with high-performance computing to deliver high-fidelity computer models of biological neural systems.”
Large-scale model of mammalian thalamocortical systems (2008, background): “16) and simulated (red smooth curve) by the model (3).”
The excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex. (2009, background): “Our results must therefore be considered only as a beginning, and much more experimental data is required before we can assemble a realistic working model (Markram, 2006) of the mouse C2 barrel column, including how it dynamically processes sensory experience (Allen et al.”