Results 81 to 90 of about 10,304,482 (352)
Organic Ferroelectric Synaptic Transistors for Neural Image Recognition Networks
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]
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]
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]
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]
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
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
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 (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]
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
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