000K utf8 1100 $c2015 1500 eng 2050 urn:nbn:de:gbv:8:3-2025-00393-9 2051 10.3389/fnins.2015.00376 3000 Ignatov, Marina 3010 Hansen, Mirko 3010 Kohlstedt, Hermann 3010 Petraru, Adrian 3010 Ziegler, Martin 4000 A memristive spiking neuron with firing rate coding$hFrontiers Media SA [Ignatov, Marina] 4030 $nFrontiers Media SA 4209 Perception, decisions, and sensations are all encoded into trains of action potentials in the brain. The relation between stimulus strength and all-or-nothing spiking of neurons is widely believed to be the basis of this coding. This initiated the development of spiking neuron models; one of today's most powerful conceptual tool for the analysis and emulation of neural dynamics. The success of electronic circuit models and their physical realization within silicon field-effect transistor circuits lead to elegant technical approaches. Recently, the spectrum of electronic devices for neural computing has been extended by memristive devices, mainly used to emulate static synaptic functionality. Their capabilities for emulations of neural activity were recently demonstrated using a memristive neuristor circuit, while a memristive neuron circuit has so far been elusive. Here, a spiking neuron model is experimentally realized in a compact circuit comprising memristive and memcapacitive devices based on the strongly correlated electron material vanadium dioxide (VO2) and on the chemical electromigration cell Ag/TiO2-x /Al. The circuit can emulate dynamical spiking patterns in response to an external stimulus including adaptation, which is at the heart of firing rate coding as first observed by E.D. Adrian in 1926. 4950 https://doi.org/10.3389/fnins.2015.00376$xR$3Volltext$534 4950 https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2025-00393-9$xR$3Volltext$534 4961 https://macau.uni-kiel.de/receive/macau_mods_00005925 5051 530 5051 600 5550 Memristive Devices 5550 Negative Differential Resistor 5550 Neural coding 5550 Neuromorphic Systems 5550 Spiking Neuron