TY  - CHAP
AB  - Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications. These circuits are developed using standard silicon technologies, and exploit the analog properties of transistors to emulate the phenomena underlying the computations and the communication in the brain. Neuromorphic multi-neuron systems can provide a low-power and scalable information processing technology, that is optimally suited for advanced and future VLSI processes.
DO  - 10.1007/978-3-642-31525-1_52
KW  - WTA
KW  - neuromorphic
KW  - Computer Science
KW  - FSM
LA  - eng
PY  - 2012
SN  - 978-3-642-31524-4
SP  - 382-383
T3  - Biomimetic and Biohybrid Systems
TI  - Systematic Construction of Finite State Automata Using VLSI Spiking Neurons
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-25426810
Y2  - 2024-11-22T09:32:35
ER  -