Results 251 to 260 of about 31,264 (300)
Self-Powered Neuromorphic Systems Based on Tribotronics Synaptic Devices. [PDF]
Shrestha K +4 more
europepmc +1 more source
Boosting Artificial Olfaction: Visual Cues-Enhanced Gas Classification by a Bimodal Neuromorphic Device. [PDF]
Chang C +15 more
europepmc +1 more source
Ion Compensation-Assisted Photolithography Enables High-Resolution Electrolytes for Neuromorphic Transistors. [PDF]
Zhang W +6 more
europepmc +1 more source
Basic Cells for Reconfigurable Superconducting Kinemonics. [PDF]
Maksimovskaya AA +6 more
europepmc +1 more source
Polymer-Based Linear and Symmetric Artificial Synaptic Memristors for Accurate and Reliable Neuromorphic Computing Applications. [PDF]
Kumar A, Tseng TY.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Homogeneous neuromorphic hardware
Science, 2021Bifunctional ferroelectric transistors enable collocation of memory and ...
Feng, Rao, Xutang, Tao
openaire +2 more sources
Scientific American, 2005
Compact, efficient electronics based on the brain's neural system could yield implantable silicon retinas to restore vision, as well as robotic eyes and other smart sensors.
openaire +2 more sources
Compact, efficient electronics based on the brain's neural system could yield implantable silicon retinas to restore vision, as well as robotic eyes and other smart sensors.
openaire +2 more sources
Current Opinion in Neurobiology, 2010
Biology provides examples of efficient machines which greatly outperform conventional technology. Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. This task requires a melding of novel engineering principles with knowledge gleaned from neuroscience.
Liu, S C, Delbruck, T
openaire +3 more sources
Biology provides examples of efficient machines which greatly outperform conventional technology. Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. This task requires a melding of novel engineering principles with knowledge gleaned from neuroscience.
Liu, S C, Delbruck, T
openaire +3 more sources

