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Related Experiment Video

Updated: Dec 23, 2025

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

Published on: August 1, 2011

Atomic Scale Dynamics Drive Brain-like Avalanches in Percolating Nanostructured Networks.

Matthew D Pike¹, Saurabh K Bose², Joshua B Mallinson²

¹Electrical and Computer Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand.

|April 30, 2020

Summary

This summary is machine-generated.

Networks of nanoparticles show brain-like dynamics by emulating neuron firing. These systems generate critical signal avalanches, essential for computation and self-organized criticality, paving the way for new computing paradigms.

Keywords:

Brain-like networks criticality long-range temporal correlations nanoparticle networks neuromorphic computing percolation scale-free dynamics

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Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons

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Last Updated: Dec 23, 2025

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

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Published on: August 1, 2011

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Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons

Published on: July 14, 2021

Area of Science:

Materials Science
Computational Neuroscience
Complex Systems

Background:

Self-assembled nanoparticle and nanowire networks are emerging as platforms for brain-like computation.
Percolating nanoparticle networks exhibit complex dynamics relevant to neural processing.

Purpose of the Study:

To investigate the origins of brain-like dynamics in percolating nanoparticle networks.
To demonstrate how atomic-scale switching dynamics contribute to network computation.

Main Methods:

Combination of experimental studies and computational simulations.
Analysis of atomic-scale switching dynamics within tunnel gaps.
Characterization of signal propagation and network restructuring.

Main Results:

Brain-like network dynamics arise from atomic-scale switching in tunnel gaps.
These dynamics emulate leaky integrate and fire (LIF) mechanisms, generating critical signal avalanches.
Avalanches match those in cortical tissue, indicating necessary correlations for computation.

Conclusions:

Nanoparticle networks self-tune to balanced states, consistent with self-organized criticality.
Dynamical network restructuring is linked to avalanche generation and computational capability.
Simulations provide insights into network states and signal propagation mechanisms.