Results 71 to 80 of about 13,938 (239)

Symmetric spike timing-dependent plasticity at CA3–CA3 synapses optimizes storage and recall in autoassociative networks

open access: yesNature Communications, 2016
STDP is dependent on the timing of pre- and post-synaptic activity. Here, the authors describe a symmetric STDP induction rule at CA3-CA3 synapses, which induces LTP over a broad range of paring intervals.
Rajiv K. Mishra   +3 more
doaj   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

open access: yesAdvanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann   +8 more
wiley   +1 more source

Refinement and Pattern Formation in Neural Circuits by the Interaction of Traveling Waves with Spike-Timing Dependent Plasticity. [PDF]

open access: yesPLoS Computational Biology, 2015
Traveling waves in the developing brain are a prominent source of highly correlated spiking activity that may instruct the refinement of neural circuits.
James E M Bennett, Wyeth Bair
doaj   +1 more source

Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP

open access: yes, 2019
Spiking neural networks (SNNs) are good candidates to produce ultra-energy-efficient hardware. However, the performance of these models is currently behind traditional methods. Introducing multi-layered SNNs is a promising way to reduce this gap.
Bilasco, Ioan Marius   +4 more
core   +1 more source

Organic Electrochemical Transistors for Neuromorphic Devices and Applications

open access: yesAdvanced Materials, EarlyView.
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang   +4 more
wiley   +1 more source

Ferroelectrics Hybrids: Harnessing Multifunctionality of 2D Semiconductors in the Post‐Moore Era

open access: yesAdvanced Materials, EarlyView.
In this Review, the state of art of ferroelectric hybrid systems—combining ferroelectrics, 2D semiconductors, and molecular switches is presented—as next‐generation platforms for high‐density, multifunctional electronics. By discussing 2D FeFET applications, nanoscale material downscaling, M3D integration, and emerging ferroelectrics, it highlights ...
Haixin Qiu   +3 more
wiley   +1 more source

Hardware software co-design for leveraging STDP in a memristive neuroprocessor

open access: yesNeuromorphic Computing and Engineering
In neuromorphic computing, different learning mechanisms are being widely adopted to improve the performance of a specific application. Among these techniques, spike-timing-dependent plasticity (STDP) stands out as one of the most favored. STDP is simply
Nishith N Chakraborty   +4 more
doaj   +1 more source

Single‐Field Evolution Rule Governs the Dynamics of Representational Drift in Mouse Hippocampal Dorsal CA1 Region

open access: yesAdvanced Science, EarlyView.
Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen   +10 more
wiley   +1 more source

Digital Implementation of a Spiking Convolutional Neural Network for Tumor Detection [PDF]

open access: yesInformacije MIDEM, 2020
A. Adineh-vand, G. Karimi, M. Khazaei
doaj   +1 more source

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