Work

Learning and spiking dynamics in brain-like nanoscale networks

Year: 2025

Type: article

Abstract: Percolating networks of nanoparticles are self-assembled nanoscale neural networks. Replacement of some ‘spiking neurons’ with memristive 'synapses' allows demonstrate of biologically realistic potentiation behaviour i.e . learning.

Source: Nanoscale Horizons

DOI: 10.1039/d5nh00407a

Authors: B. L. Monaghan, Z. E. Heywood, S. J. Studholme, F. Houard, J. Grisolia, S. Tricard, S. A. Brown

Institutions: University of Canterbury, MacDiarmid Institute for Advanced Materials and Nanotechnology, Centre National de la Recherche Scientifique, Institut National des Sciences Appliquées de Toulouse, Laboratoire de Physique et Chimie des Nano-Objets, Université de Toulouse

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Agence Nationale de la Recherche, MacDiarmid Institute for Advanced Materials and Nanotechnology, Marsden Fund

Awards: Dipolar relaxation on-demand in nanoparticle-polypeptide hybrid materials, Science et Ingénierie à l'Echelle Nano, Molecular switch in nanostructured hybrid materials for neuromorphic learning

OpenAlex ID: W4412601603

FWCI: 0.453

Cites: 52

Cited by: 2

Related to: 10