Results 91 to 100 of about 31,264 (300)

Neuromorphic motivated systems [PDF]

The 2011 International Joint Conference on Neural Networks, 2011
Although reinforcement learning has been extensively modeled, few agent models that incorporate values use biologically plausible neural networks as a uniform computational architecture. We call biologically plausible neural network architecture neuromorphic. This paper discusses some theoretical constraints on neuromorphic intrinsic value systems [3].
James C. Daly, Jacob D. Brown, Juyang Weng   +2 more
openaire   +2 more sources

An FPGA-based neuromorphic vision system accelerator [PDF]

Rapid reaction to a specific event is a critical feature for an embedded computer vision system to ensure reliable and secure interaction with the environment in resource-limited real-time applications.
Bhowmick, Deepayan, Ali, Teymoor, Lau, Sook Yen, Rainey, James, Appiah, Kofi, Maier, Patrick, Gheorghiu, Elena   +6 more
core   +1 more source

Operando Tracking of Oxygen‐Vacancy Dynamics and Negative Capacitance in Ca‐Doped BiFeO3

Advanced Functional Materials, EarlyView.
Operando electrochemical impedance spectroscopy, combined with electrocoloration, enables a direct correlation between real‐space ionic redistribution and the corresponding frequency‐domain electrical response. In lateral Ca‐doped BiFeO3 devices, time‐resolved impedance snapshots capture the evolution from bulk‐dominated mixed conduction to an ...
Jeonghun Suh, Heung‐Sik Park, Jong‐Sook Lee, Chan‐Ho Yang   +3 more
wiley   +1 more source

An event-based VLSI network of integrate-and-fire neurons [PDF]

, 2004
Chicca E, Indiveri G, Douglas RJ. An event-based VLSI network of integrate-and-fire neurons. Presented at the Proceedings of the 2004 International Symposium on Circuits and Systems (ISCAS).The growing interest in pulse-based neural networks is ...
Douglas, R. J., Indiveri, G., E. Chicca, Chicca, Elisabetta ; https://orcid.org/, G. Indiveri, R.J. Douglas   +5 more
core   +1 more source

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +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

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

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

Halide Perovskites for Neuromorphic Computing

, 2023
The next generation of neuromorphic computing, which is related to emulating the neural structure and operation of the human brain, will extend into areas that correspond to human cognition, such as interpretation and autonomous adaptation.
Anthopoulos, Thomas D., Nazeeruddin, Mohammad Khaja, Vasilopoulou, Maria, Mohd Yusoff, Abd Rashid bin, Chai, Yang, Davazoglou, Konstantinos, Noh, Yong-Young   +6 more
core   +1 more source