Results 81 to 90 of about 3,555,912 (299)

Spiking Neural Networks: History, Current Status and the Future

Dynamics
Simulated spiking neural networks have been explored for over a hundred years. Many of these networks are driven by biological considerations and an attempt to simulate brains, but others are used with little biological consideration.
Christian R. Huyck
doaj   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

On Training Spiking Neural Networks by Means of a Novel Quantum Inspired Machine Learning Method

Applied AI Letters
In spite of the high potential shown by spiking neural networks (e.g., temporal patterns), training them remains an open and complex problem. In practice, while in theory these networks are computationally as powerful as mainstream artificial neural ...
Jean Michel Sellier, Alexandre Martini
doaj   +1 more source

Spike-Timing Dependent Learning Dynamics in Silicon-Doped Hafnium-Oxide-Based Ferroelectric Field Effect Transistors

IEEE Journal of the Electron Devices Society
Brain-inspired computing, with its potential for energy-efficient spatio-temporal data processing, has spurred significant interest in spiking neural networks and their hardware implementations. Leveraging their non-volatile memory and analog tunability,
Masud Rana Sk, Apu Das, Gautham Kumar, Deepanshi Bhatnagar, Sourodeep Roy, Yannick Raffel, Maximilian Lederer, Konrad Seidel, Sourav De, Bhaswar Chakrabarti   +9 more
doaj   +1 more source

Real-time inference in a VLSI spiking neural network [PDF]

, 2012
The ongoing motor output of the brain depends on its remarkable ability to rapidly transform and fuse a variety of sensory streams in real-time.
Matthew Cook, Neftci, Emre O; https://orcid.org/, Corneil, Dane, Dane Corneil, Neftci, Emre, Emre Neftci, Sonnleithner, Daniel, Rodney Douglas, Chicca, Elisabetta; https://orcid.org/, Giacomo Indiveri, Elisabetta Chicca, Indiveri, Giacomo; https://orcid.org/, Indiveri, Giacomo, Chicca, Elisabetta ; https://orcid.org/, Cook, Matthew, Daniel Sonnleithner, Douglas, Rodney   +16 more
core   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons [PDF]

, 2001
Chicca E, Fusi S. Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons. In: Rattay F, ed. Proceedings of the World Congress on Neuroinformatics.
Fusi, S., Chicca, Elisabetta ; https://orcid.org/, Rattay, Frank   +2 more
core  

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Linking structure and activity in nonlinear spiking networks. [PDF]

PLoS Computational Biology, 2017
Recent experimental advances are producing an avalanche of data on both neural connectivity and neural activity. To take full advantage of these two emerging datasets we need a framework that links them, revealing how collective neural activity arises ...
Gabriel Koch Ocker, Krešimir Josić, Eric Shea-Brown, Michael A Buice   +3 more
doaj   +1 more source