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