Atomic Scale Dynamics Drive Brain-like Avalanches in Percolating Nanostructured Networks
| Autor: | Stephen J. Weddell, Simon Brown, S. K. Bose, Philip J. Bones, Matthew D. Pike, S. Shirai, Edoardo Galli, Matthew D. Arnold, Joshua B. Mallinson, Susant Kumar Acharya |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Physics
Percolation (cognitive psychology) Quantitative Biology::Neurons and Cognition Mechanical Engineering Computation Models Neurological Nanowire Bioengineering 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology Condensed Matter Physics Network dynamics Atomic units Radio propagation Neuromorphic engineering Criticality General Materials Science Statistical physics Neural Networks Computer Nanoscience & Nanotechnology 0210 nano-technology |
| Popis: | Self-assembled networks of nanoparticles and nanowires have recently emerged as promising systems for brain-like computation. Here, we focus on percolating networks of nanoparticles which exhibit brain-like dynamics. We use a combination of experiments and simulations to show that the brain-like network dynamics emerge from atomic-scale switching dynamics inside tunnel gaps that are distributed throughout the network. The atomic-scale dynamics emulate leaky integrate and fire (LIF) mechanisms in biological neurons, leading to the generation of critical avalanches of signals. These avalanches are quantitatively the same as those observed in cortical tissue and are signatures of the correlations that are required for computation. We show that the avalanches are associated with dynamical restructuring of the networks which self-tune to balanced states consistent with self-organized criticality. Our simulations allow visualization of the network states and detailed mechanisms of signal propagation. |
| Databáze: | OpenAIRE |
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