Results 171 to 180 of about 76,325 (312)

A hybrid Spiking Neural Network-Transformer architecture for motor imagery and sleep apnea detection. [PDF]

Front Neurosci
Pham DT, Titkanlou MK, Mouček R.
europepmc   +1 more source

Evolving Spike Neural Network Sensors to Characterize the Alcoholic Brain Using Visually Evoked Response Potential

, 2013
Arnab Roy, J. David Schaffer, Craig B. Laramee   +2 more
openalex   +1 more source

Unraveling the Morphological and Functional Maturation Mechanisms Underlying Human Neural Development Using iPSCs‐Derived Neuronal Model

Advanced Science, EarlyView.
Using human induced pluripotent stem cells (hiPSCs)‐derived neuronal model, Tian and colleagues reveal that voltage‐gated calcium channels Cav1.2 and Cav1.3, and their mediated calcium ion influx, are essential for early morphogenesis of human neuronal development, while ECEL1 underlies human neuronal functional developmental maturation through CALM3 ...
Yue Tian, Yi‐Chun Ou, Zi‐Xian Zhang, Jie Cai, Si‐Qing Cai, Guo‐Gang Xing   +5 more
wiley   +1 more source

Spiking neural networks

Spiking Neural Networks (SNNs) sind eine spezielle Untergruppe von künstlichen neuronalen Netzen, die Informationen mittels diskreter Spike-Ereignisse verarbeiten. SNNs sind von besonderem Interesse aufgrund ihrer Energieeffizienz und ihrer Ähnlichkeiten zu biologischen neuronalen Netzen.Diese Arbeit hat zum Ziel, einen Überblick über das Gebiet der ...
openaire   +1 more source

PEDOT:PSS—A Key Material for Bioelectronics

Advanced Science, EarlyView.
PEDOT:PSS ‐ Poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate ‐ is typically processed from water dispersions to form multifunctional and multidimensional constructs with tunable electronic and ionic conductivity. Throught processing engineering, PEDOT:PSS is intergrated in bioelectronic devices that operate efficiently in physiological conditions
Alan Eduardo Ávila Ramírez, David Pieter van der Laan, Mustafeez Bashir Shah, Liwen Wang, Erica Zeglio, Achilleas Savva   +5 more
wiley   +1 more source

Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach. [PDF]

Neuroinformatics
Rudnicka Z, Szczepanski J, Pregowska A.
europepmc   +1 more source

Hybrid Spiking Neural Networks: Combining Spike Counts and Membrane Potentials for Energy-Efficient Language and Image Generation

Hiroto Funasaki
openalex   +1 more source

Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy

Advanced Science, EarlyView.
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro, Yoojin Chang, Jeeyoon Kim, Seungjae Lee, Sangyun Na, Cheolhong Park, Hyunhyub Ko   +6 more
wiley   +1 more source

Biologically-constrained spiking neural network for neuromodulation in locomotor recovery after spinal cord injury. [PDF]

PLoS Comput Biol
Chia R, Lin CT.
europepmc   +1 more source

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks

Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma   +6 more
openalex   +2 more sources