Results 81 to 90 of about 10,304,482 (352)

Organic Ferroelectric Synaptic Transistors for Neural Image Recognition Networks

open access: yesAdvanced Materials Interfaces, EarlyView.
All organic transistors, where both the dielectric and semiconducting layers are polymeric, are developed as electrical synaptic devices. Two copolymers of PVDF as the dielectric layer with large differences in their saturation polarizability and memory window are chosen.
Evan Restuccia   +2 more
wiley   +1 more source

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing [PDF]

open access: yesarXiv, 2005
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient ascent the likelihood of postsynaptic firing at one or several desired firing times.
arxiv  

Mimicking synaptic plasticity with wedged Pt/Co/Pt spin-orbit torque device [PDF]

open access: yesJ. Phys. D: Appl. Phys. 55, 095001 (2022)
We fabricated a wedge-shaped Pt/Co/Pt device with perpendicular magnetic anisotropy and manifested that the Co magnetization can be solely switched by spin-orbit torque without any magnetic field. Similar to the synaptic weight, we observed that the state of Co magnetization (presented by the anomalous Hall resistance RH) of the wedged Pt/Co/Pt device ...
arxiv   +1 more source

Synaptic Plasticity with Discrete state synapses [PDF]

open access: yes, 2005
Experimental observations on synaptic plasticity at individual glutamatergic synapses from the CA3 Shaffer collateral pathway onto CA1 pyramidal cells in the hippocampus suggest that the transitions in synaptic strength occur among discrete levels at individual synapses (~\cite{Peter} and S. S.-H.
arxiv   +1 more source

PyTorch-Hebbian: facilitating local learning in a deep learning framework [PDF]

open access: yesarXiv, 2021
Recently, unsupervised local learning, based on Hebb's idea that change in synaptic efficacy depends on the activity of the pre- and postsynaptic neuron only, has shown potential as an alternative training mechanism to backpropagation. Unfortunately, Hebbian learning remains experimental and rarely makes it way into standard deep learning frameworks ...
arxiv  

Roles of Kdm6a and Kdm6b in Regulation of Mammalian Neural Regeneration

open access: yesAdvanced Science, EarlyView.
This study reveals that Kdm6a plays key roles in repressing either peripheral nervous system (PNS) or central nervous system (CNS) axon regeneration, whereas Kdm6b is not involved in regulating CNS axon regeneration. Moreover, both demethylases are able to regulate CNS neuronal survival after injury, but with non‐overlapping mechanisms.
Shu‐Guang Yang   +13 more
wiley   +1 more source

Molecular and structural bases for postsynaptic signal processing: interaction between postsynaptic density and postsynaptic membrane rafts

open access: yesJournal of Neurorestoratology, 2013
Tatsuo Suzuki,1 Wei-Dong Yao21Department of Neuroplasticity, Shinshu University Graduate School of Medicine, Matsumoto, Japan; 2Department of Psychiatry, Beth Israel Deaconess Medical Center, and Division of Neuroscience, New England Primate Research ...
Suzuki T, Yao WD
doaj  

Lycium barbarum Glycopeptide Alleviates Neomycin‐Induced Ototoxicity by Inhibiting Tryptophan Hydroxylase‐Mediated Serotonin Biosynthesis

open access: yesAdvanced Science, EarlyView.
Lycium barbarum glycopeptide (LBGP), which is further extracted from Lycium barbarum polysaccharides, exhibits significant protective effects against neomycin‐induced hearing dysfunction including oxidative stress in cochlea and loss of key cells in cochlea.
Yunhao Wu   +12 more
wiley   +1 more source

Synaptic sampling: A connection between PSP variability and uncertainty explains neurophysiological observations [PDF]

open access: yesarXiv, 2015
When an action potential is transmitted to a postsynaptic neuron, a small change in the postsynaptic neuron's membrane potential occurs. These small changes, known as a postsynaptic potentials (PSPs), are highly variable, and current models assume that this variability is corrupting noise.
arxiv  

Novel Solution‐Processed Fe2O3/WS2 Hybrid Nanocomposite Dynamic Memristor for Advanced Power Efficiency in Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
Solution‐processed approach for integration of Fe2O3/WS2 nano‐hybrid composite memristor devices. Remarkable switching characteristics and excellent durability for up to 105 cycles. The device shows ultra‐low energy consumption of 0.072 pJ and excellent environmental stability.
Faisal Ghafoor   +11 more
wiley   +1 more source

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