Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Spiking Neural P Systems with Addition/Subtraction Computing on Synapses [PDF]
Spiking neural P systems (SN P systems, for short) are a class of distributed and parallel computing models inspired from biological spiking neurons.
Chen, Zhiqiang, Jiang, Yun
core
Alkali Ion‐Incorporated HfO2 Dielectrics for Reconfigurable Neuromorphic Computing
This work presents an indium gallium zinc oxide (IGZO) transistor with an alkali cation‐integrated hafnium dioxide (HfO2) dielectric exhibiting synaptic behavior via ion retention. The solution‐based film fabrication strategy overcomes the limitations of atomic layer deposition (ALD) and precursor coating, enabling the control of synaptic retention ...
Seung Yeon Ki +7 more
wiley +1 more source
Postsynaptic protein organization revealed by electron microscopy. [PDF]
Neuronal synapses are key devices for transmitting and processing information in the nervous system. Synaptic plasticity, generally regarded as the cellular basis of learning and memory, involves changes of subcellular structures that take place at the ...
Bi, Guo-Qiang +4 more
core
Structure–Transport–Ion Retention Coupling for Enhanced Nonvolatile Artificial Synapses
Nitrogen incorporation into the conjugated backbone of donor–acceptor polymers enables efficient charge transfer and deep ion embedding in organic electrochemical synaptic transistors (OESTs). This molecular‐level design enhances non‐volatile synaptic properties, providing a new strategy for developing high‐performance and reliable neuromorphic devices.
Donghwa Lee +5 more
wiley +1 more source
Neuromorphic Learning towards Nano Second Precision [PDF]
Temporal coding is one approach to representing information in spiking neural networks. An example of its application is the location of sounds by barn owls that requires especially precise temporal coding. Dependent upon the azimuthal angle, the arrival
Meier, Karlheinz +3 more
core +1 more source
Cell-type specific innervation of cortical pyramidal cells at their apical dendrites
We investigated the synaptic innervation of apical dendrites of cortical pyramidal cells in a region between layers (L) 1 and 2 using 3-D electron microscopy applied to four cortical regions in mouse.
Ali Karimi +4 more
doaj +1 more source
A modular biosynthetic PVA–gelatin hydrogel crosslinked via visible‐light thiol‐ene chemistry is engineered as a coating for neural electrodes. Optimizing matrix composition and mechanical properties enables the hydrogel to support astrocytic populations that guide neural differentiation and functional maturation.
Martina Genta +4 more
wiley +1 more source
Controlling chaos in diluted networks with continuous neurons
Diluted neural networks with continuous neurons and nonmonotonic transfer function are studied, with both fixed and dynamic synapses. A noisy stimulus with periodic variance results in a mechanism for controlling chaos in neural systems with fixed ...
Caroppo D. +11 more
core +1 more source
Beta-rhythm oscillations and synchronization transition in network models of Izhikevich neurons: effect of topology and synaptic type [PDF]
Despite their significant functional roles, beta-band oscillations are least understood. Synchronization in neuronal networks have attracted much attention in recent years with the main focus on transition type.
Khoshkhou, Mahsa, Montakhab, Afshin
core +2 more sources

