The Experts below are selected from a list of 1383 Experts worldwide ranked by ideXlab platform
Felipe Garciasanchez - One of the best experts on this subject based on the ideXlab platform.
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shape based magnetic domain wall drift for an artificial spintronic leaky integrate and fire neuron
IEEE Transactions on Electron Devices, 2019Co-Authors: Wesley H Brigner, Naimul Hassan, Christopher H Bennett, Jean Anne C Incorvia, Joseph S Friedman, Lucian Jiangwei, Diptish Saha, Matthew J Marinella, Felipe GarciasanchezAbstract:Spintronic devices based on domain wall (DW) motion through ferromagnetic nanowire tracks have received great interest as components of neuromorphic information processing systems. Previous proposals for spintronic artificial neurons required external stimuli to perform the leaking functionality, one of the three fundamental functions of a leaky integrate-and-fire (LIF) neuron. The use of this external magnetic field or electrical current stimulus results in either a decrease in energy efficiency or an increase in fabrication complexity. In this article, we modify the shape of previously demonstrated three-terminal magnetic tunnel junction neurons to perform the leaking operation without any external stimuli. The trapezoidal structure causes a shape-based DW drift, thus intrinsically providing the leaking functionality with no hardware cost. This LIF neuron, therefore, promises to advance the development of spintronic neural network crossbar arrays.
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graded anisotropy induced magnetic domain wall drift for an artificial spintronic leaky integrate and fire neuron
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019Co-Authors: Wesley H Brigner, Naimul Hassan, Christopher H Bennett, Jean Anne C Incorvia, Felipe Garciasanchez, Joseph S FriedmanAbstract:Spintronic three-terminal magnetic-tunnel-junction (3T-MTJ) devices have gained considerable interest in the field of neuromorphic computing. Previously, these devices required external circuitry to implement the leaking functionality that leaky integrate-and-fire (LIF) neurons should display. However, the use of external circuitry results in decreased device efficiency. We previously demonstrated lateral inhibition with a 3T-MTJ neuron that intrinsically performs the leaking, integrating, and firing functions; however, it required the fabrication of a complex multilayer structure. In this paper, we introduce an anisotropy gradient to implement a single-layer intrinsically leaking 3T-MTJ LIF neuron without the use of any external circuitry. This provides the leaking functionality with no hardware cost and reduced fabrication complexity, which increases the device, circuit, system, and cost efficiency.
Joseph S Friedman - One of the best experts on this subject based on the ideXlab platform.
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shape based magnetic domain wall drift for an artificial spintronic leaky integrate and fire neuron
IEEE Transactions on Electron Devices, 2019Co-Authors: Wesley H Brigner, Naimul Hassan, Christopher H Bennett, Jean Anne C Incorvia, Joseph S Friedman, Lucian Jiangwei, Diptish Saha, Matthew J Marinella, Felipe GarciasanchezAbstract:Spintronic devices based on domain wall (DW) motion through ferromagnetic nanowire tracks have received great interest as components of neuromorphic information processing systems. Previous proposals for spintronic artificial neurons required external stimuli to perform the leaking functionality, one of the three fundamental functions of a leaky integrate-and-fire (LIF) neuron. The use of this external magnetic field or electrical current stimulus results in either a decrease in energy efficiency or an increase in fabrication complexity. In this article, we modify the shape of previously demonstrated three-terminal magnetic tunnel junction neurons to perform the leaking operation without any external stimuli. The trapezoidal structure causes a shape-based DW drift, thus intrinsically providing the leaking functionality with no hardware cost. This LIF neuron, therefore, promises to advance the development of spintronic neural network crossbar arrays.
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graded anisotropy induced magnetic domain wall drift for an artificial spintronic leaky integrate and fire neuron
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019Co-Authors: Wesley H Brigner, Naimul Hassan, Christopher H Bennett, Jean Anne C Incorvia, Felipe Garciasanchez, Joseph S FriedmanAbstract:Spintronic three-terminal magnetic-tunnel-junction (3T-MTJ) devices have gained considerable interest in the field of neuromorphic computing. Previously, these devices required external circuitry to implement the leaking functionality that leaky integrate-and-fire (LIF) neurons should display. However, the use of external circuitry results in decreased device efficiency. We previously demonstrated lateral inhibition with a 3T-MTJ neuron that intrinsically performs the leaking, integrating, and firing functions; however, it required the fabrication of a complex multilayer structure. In this paper, we introduce an anisotropy gradient to implement a single-layer intrinsically leaking 3T-MTJ LIF neuron without the use of any external circuitry. This provides the leaking functionality with no hardware cost and reduced fabrication complexity, which increases the device, circuit, system, and cost efficiency.
Wesley H Brigner - One of the best experts on this subject based on the ideXlab platform.
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shape based magnetic domain wall drift for an artificial spintronic leaky integrate and fire neuron
IEEE Transactions on Electron Devices, 2019Co-Authors: Wesley H Brigner, Naimul Hassan, Christopher H Bennett, Jean Anne C Incorvia, Joseph S Friedman, Lucian Jiangwei, Diptish Saha, Matthew J Marinella, Felipe GarciasanchezAbstract:Spintronic devices based on domain wall (DW) motion through ferromagnetic nanowire tracks have received great interest as components of neuromorphic information processing systems. Previous proposals for spintronic artificial neurons required external stimuli to perform the leaking functionality, one of the three fundamental functions of a leaky integrate-and-fire (LIF) neuron. The use of this external magnetic field or electrical current stimulus results in either a decrease in energy efficiency or an increase in fabrication complexity. In this article, we modify the shape of previously demonstrated three-terminal magnetic tunnel junction neurons to perform the leaking operation without any external stimuli. The trapezoidal structure causes a shape-based DW drift, thus intrinsically providing the leaking functionality with no hardware cost. This LIF neuron, therefore, promises to advance the development of spintronic neural network crossbar arrays.
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graded anisotropy induced magnetic domain wall drift for an artificial spintronic leaky integrate and fire neuron
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019Co-Authors: Wesley H Brigner, Naimul Hassan, Christopher H Bennett, Jean Anne C Incorvia, Felipe Garciasanchez, Joseph S FriedmanAbstract:Spintronic three-terminal magnetic-tunnel-junction (3T-MTJ) devices have gained considerable interest in the field of neuromorphic computing. Previously, these devices required external circuitry to implement the leaking functionality that leaky integrate-and-fire (LIF) neurons should display. However, the use of external circuitry results in decreased device efficiency. We previously demonstrated lateral inhibition with a 3T-MTJ neuron that intrinsically performs the leaking, integrating, and firing functions; however, it required the fabrication of a complex multilayer structure. In this paper, we introduce an anisotropy gradient to implement a single-layer intrinsically leaking 3T-MTJ LIF neuron without the use of any external circuitry. This provides the leaking functionality with no hardware cost and reduced fabrication complexity, which increases the device, circuit, system, and cost efficiency.
Fredrik Widemo - One of the best experts on this subject based on the ideXlab platform.
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The Social Implications of traditional use of lek sites in the ruff Philomachus pugnax
Behavioral Ecology, 1997Co-Authors: Fredrik WidemoAbstract:In almost every Lekking vertebrate, adult males use traditional lek sites. This paper attempts to explain this phenomenon by investigating the social implications of traditional use of lek sites. A population of ruffs Philomachus pugnax was observed durin
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Distribution Models and the Evolution of Lekking: With Empirical Tests on the Ruff, Philomachus Pugnax
1995Co-Authors: Fredrik WidemoAbstract:Distribution models and the evolution of Lekking : with empirical tests on the ruff, Philomachus pugnax
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lek size male mating skew and the evolution of Lekking
Nature, 1995Co-Authors: Fredrik Widemo, Ian P F OwensAbstract:DESPITE extensive theoretical effort1–8, the evolution of Lekking as a mating system remains a controversial issue9,10. Leks are non-resource-based mating aggregations2, but may also be regarded as patches differing in female encounter rate2, 3, 5, 7. We report here a new distribution model that incorporates variation in male mating skew with lek size. The model predicts that, under specified conditions, high-ranking males have smaller optimal lek sizes than low-ranking males. All males benefit from initial clustering, but only low-ranking males gain from large aggregations. This generates progressive clustering around high-ranking males at hotspots determined by female spatial distributions. The predictions of our model were validated in two ways using empirical data on Lekking ruffs, Philomachus pugnax. Our model integrates the basic elements of the previously competing hotspot2, 3 and hotshot4 models of lek evolution by a simple mechanism, and could explain the evolution of Lekking.
Naimul Hassan - One of the best experts on this subject based on the ideXlab platform.
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shape based magnetic domain wall drift for an artificial spintronic leaky integrate and fire neuron
IEEE Transactions on Electron Devices, 2019Co-Authors: Wesley H Brigner, Naimul Hassan, Christopher H Bennett, Jean Anne C Incorvia, Joseph S Friedman, Lucian Jiangwei, Diptish Saha, Matthew J Marinella, Felipe GarciasanchezAbstract:Spintronic devices based on domain wall (DW) motion through ferromagnetic nanowire tracks have received great interest as components of neuromorphic information processing systems. Previous proposals for spintronic artificial neurons required external stimuli to perform the leaking functionality, one of the three fundamental functions of a leaky integrate-and-fire (LIF) neuron. The use of this external magnetic field or electrical current stimulus results in either a decrease in energy efficiency or an increase in fabrication complexity. In this article, we modify the shape of previously demonstrated three-terminal magnetic tunnel junction neurons to perform the leaking operation without any external stimuli. The trapezoidal structure causes a shape-based DW drift, thus intrinsically providing the leaking functionality with no hardware cost. This LIF neuron, therefore, promises to advance the development of spintronic neural network crossbar arrays.
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graded anisotropy induced magnetic domain wall drift for an artificial spintronic leaky integrate and fire neuron
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019Co-Authors: Wesley H Brigner, Naimul Hassan, Christopher H Bennett, Jean Anne C Incorvia, Felipe Garciasanchez, Joseph S FriedmanAbstract:Spintronic three-terminal magnetic-tunnel-junction (3T-MTJ) devices have gained considerable interest in the field of neuromorphic computing. Previously, these devices required external circuitry to implement the leaking functionality that leaky integrate-and-fire (LIF) neurons should display. However, the use of external circuitry results in decreased device efficiency. We previously demonstrated lateral inhibition with a 3T-MTJ neuron that intrinsically performs the leaking, integrating, and firing functions; however, it required the fabrication of a complex multilayer structure. In this paper, we introduce an anisotropy gradient to implement a single-layer intrinsically leaking 3T-MTJ LIF neuron without the use of any external circuitry. This provides the leaking functionality with no hardware cost and reduced fabrication complexity, which increases the device, circuit, system, and cost efficiency.