Results 151 to 160 of about 276,610 (317)

Harnessing Nonidealities in Analog In‐Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems

Advanced Intelligent Systems, EarlyView.
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi, Yuji Okamoto, Takashi Morie, Sou Nobukawa, Takeo Hosomi, Kazuyuki Aihara   +5 more
wiley   +1 more source

Neuromorphic Device Based on Material and Device Innovation toward Multimode and Multifunction

Advanced Intelligent Systems, EarlyView.
In the era of big data, multimodal and multifunctional neuromorphic devices offer significant opportunities in designing AI hardware. In this work, recent advances about emerging material systems and novel device structures in this field are summarized in detail. Potential applications are reviewed.
Feng Guo, Hongda Ren, Yang Zhang, Jianhua Hao   +3 more
wiley   +1 more source

Cryogenic Neuromorphic Synaptic Behavior in 180 nm Silicon Transistors for Emerging Computing Systems

Advanced Intelligent Systems, EarlyView.
This study investigates the neuromorphic plasticity behavior of 180 nm bulk complementary metal oxide semiconductor (CMOS) transistors at cryogenic temperatures. The observed hysteresis data reveal a signature of synaptic behavior in CMOS transistors at 4 K.
Fiheon Imroze, Bhavani Yalagala, Naveen Kumar, Mostafa Elsayed, Meraj Ahmad, Robert Graham, Vihar Georgiev, Hadi Heidari, Martin Weides   +8 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Dynamic properties of corticothalamic excitatory postsynaptic potentials and thalamic reticular inhibitory postsynaptic potentials in thalamocortical neurons of the guinea-pig dorsal lateral geniculate nucleus

, 1999
M. von Krosigk, James E. Monckton, Peter B. Reiner, David A. McCormick   +3 more
openalex   +1 more source

The anorexic agents, sibutramine and fenfluramine, depress GABA_B‐induced inhibitory postsynaptic potentials in rat mesencephalic dopaminergic cells [PDF]

, 2009
Ada Ledonne, Luca Sebastianelli, Mauro Federici, Giorgio Bernardi, Nicola Biagio Mercuri   +4 more
openalex   +1 more source

Buried Treasure? Overlooked and Newly Discovered Evolutionary Contributions to Human Brain Diseases

Annals of Neurology, EarlyView.
Recapitulative schema of different exploratory levels of the evolutionary impact on human neurological diseases. Clinical neuroscience focuses on the mechanisms of brain function, but this approach falls short of insights into how the central nervous system (CNS) evolved, both in health and disease.
Nico J. Diederich, Martin Brüne, John S. Allen, Nicole Bender, Emiliano Bruner, Jean‐Pierre Changeux, Corrado Cali, Olga Dolgova, Anne Grünewald, Geneviève Konopka, Peng Jin, Roger Lemon, Gilberto Levy, Pierre Magistretti, Markus J. Rantala, Kathleen S. Rockland, Roger Sullivan, Annie Swanepoel, Toshiki Uchihara, Katrin Amunts, Christopher G. Goetz   +20 more
wiley   +1 more source

Subcellular resolution recordings of inhibitory postsynaptic potentials via voltage-sensitive dye imaging

, 2010
Kaspar E. Vogt
openalex   +1 more source

Mapping of excitatory and inhibitory postsynaptic potentials of neuronal populations in hippocampal slices using the GEVI, ArcLight [PDF]

, 2018
Ryuichi Nakajima, Bradley J. Baker
openalex   +1 more source

Back Again to the Future: A New Era for Cerebroprotection

Annals of Neurology, EarlyView.
Cerebroprotection is a fresh framework for designing neurological therapy that targets glia and vascular cells, in addition to neurons. In the future, successful cerebroprotection will involve targeting all elements of the neurovascular unit. Preclinical trials must include functional outcomes, as well as lesion morphometry.
Patrick Lyden
wiley   +1 more source