Joshua B. Mallinson

University of Canterbury — New Zealand

Engineering · Physical Sciences

11h-index549citations22works4.82yr avg
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Research Topics

Advanced Memory and Neural Computing(18), Neural dynamics and brain function(13), Neural Networks and Reservoir Computing(12), Ferroelectric and Negative Capacitance Devices(3), Quantum Computing Algorithms and Architecture(2)

Publications22 total

Complexity of brain-like signals in self-organised nanoscale networks
Neural Networks·2025Open Access
Comparison of the properties of two-dimensional and three-dimensional percolating networks of nanoparticles
Physical review. E·2025
Silver-Based Self-Organized Resistive Switching Nanoparticle Networks with Neural-Like Spiking Behavior: Implications for Neuromorphic Computing
ACS Applied Nano Materials·2025· 1 citedOpen Access
Speaker Recognition and Braille Classification with a Physical Reservoir Computing System
2025
Report on Neural-like Criticality in Ag-based Nanoparticle Networks
arXiv (Cornell University)·2025Open Access
Probabilistic computing with percolating nanoparticle networks using experimental data with signatures of criticality
Neuromorphic Computing and Engineering·2025· 3 citedOpen Access
From ‘follow the leader’ to autonomous swarming: physical reservoir computing in two dimensions
Neuromorphic Computing and Engineering·2024· 4 citedOpen Access
Experimental Demonstration of Reservoir Computing with Self‐Assembled Percolating Networks of Nanoparticles
Advanced Materials·2024· 30 citedOpen Access
Computation via Neuron-like Spiking in Percolating Networks of Nanoparticles
Nano Letters·2023· 16 cited
Brainlike Networks of Nanowires and Nanoparticles: A Change of Perspective
Physical Review Applied·2023· 7 cited
Time-multiplexed Reservoir Computing with Percolating Networks of Nanoparticles
2023· 2 cited
Reservoir computing using networks of memristors: effects of topology and heterogeneity
Nanoscale·2023· 24 cited
Reservoir computing with 3D nanowire networks
Neural Networks·2022· 44 cited
Self-organized nanoscale networks: are neuromorphic properties conserved in realistic device geometries?
Neuromorphic Computing and Engineering·2022· 15 citedOpen Access
Neuromorphic behaviour in discontinuous metal films
Nanoscale Horizons·2022· 11 cited
Stochastic Spiking Behavior in Neuromorphic Networks Enables True Random Number Generation
ACS Applied Materials & Interfaces·2021· 36 cited
Atomic Scale Dynamics Drive Brain-like Avalanches in Percolating Nanostructured Networks
Nano Letters·2020· 76 citedOpen Access
Long-range temporal correlations in scale-free neuromorphic networks
Network Neuroscience·2020· 62 citedOpen Access
Percolating atomic switch networks for neuromorphic computing
University of Canterbury Research Repository (University of Canterbury)·2020Open Access
Avalanches and criticality in self-organized nanoscale networks
Science Advances·2019· 112 citedOpen Access
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Frequent Co-authors

S. A. Brown(21), Philip J. Bones(13), Matthew D. Arnold(10), Zachary E. Heywood(10), Saurabh K. Bose(8), Susant Kumar Acharya(7), Edoardo Galli(7), Jamie Steel(7), Shota Shirai(4), Ryan K. Daniels(4), Sofie J. Studholme(4), Matthew D. Pike(2), Ford Wagner(2), Blessing Adejube(2), Mariia Protsak(2), Daniil Nikitin(2), Thomas Strunskus(2), А. Х. Шукуров(2), Franz Faupel(2), Alexander Vahl(2)