Das Ende der Miniaturisierung von Transistoren hat zu einer zunehmenden Erforschung alternativer Computerparadigmen und Speichertechnologien geführt. Resistiv schaltende Bauelemente, gemeinhin als Memristoren bekannt, haben aufgrund ihres Potenzials, nichtflüchtige Speicher- und Logikfunktionen in einem…
Das Ziel der vorliegenden Ausarbeitung ist die Simulation einer Hardwarerealisierung des hippocampalen Schaltkreises mithilfe memristiver Bauelemente, welches dem Abgleich neurophysiologischer, klinischer und psychologischer Forschungsergebnisse weitestgehend standhalten kann. In dieser Dissertation…
Blooming and pruning is one of the most important developmental mechanisms of the biological brain in the first years of life, enabling it to adapt its network structure to the demands of the environment. The mechanism is thought to be fundamental for the development of cognitive skills. Inspired by…
Hopfield attractor networks are robust distributed models of human memory, but they lack a general mechanism for effecting state-dependent attractor transitions in response to input. We propose construction rules such that an attractor network may implement an arbitrary finite state machine (FSM), where…
Pre-processing of the sound signal during sensing is an integral functionality of the cochlea, the part of human hearing responsible for sound sensing. This pre-pocessing, which is integrated into the sensing stage directly, enables the remarkable properties of human hearing. Similarly, integrating some…
Melville, NY: American Institute of Physics, 2024-02-27
Two-dimensional layered transition metal dichalcogenides (TMDCs) are promising memristive materials for neuromorphic computing systems. Despite extensive experimental work, the underlying switching mechanisms are still not understood, impeding progress in material and device functionality. This study…
Many speech processing systems struggle in conditions with low signal-to-noise ratios and in changing acoustic environments. Adaptation at the transduction level with integrated signal processing could help to address this; in human hearing, transduction and signal processing are integrated and can be…
Auf Mehrlagen-Metalloxiden basierende memristive Bauelemente sind einer der vielversprechendsten Kandidaten für neuromorphes Computing. Allerdings stellen spezifische Anwendungen des neuromorphen Computings unterschiedliche Anforderungen an die memristiven Bauelemente. Eine ungelöste Herausforderung…
Redox-based memristive devices have shown great potential for application in neuromorphic computing systems. However, the demands on the device characteristics depend on the implemented computational scheme and unifying the desired properties in one stable device is still challenging. Understanding how…
London: Macmillan Publishers Limited, part of Springer Nature, 2022-11-29
The present paper guides the reader through six decades of research on 2D materials, thereby putting special focus on the use of these materials for electronic devices. It is shown that after a slow start and only little activity over many years, since 2004 the exploration of 2D materials advanced at…
Memristive devices have led to an increased interest in neuromorphic systems. However, different device requirements are needed for the multitude of computation schemes used there. While linear and time-independent conductance modulation is required for machine learning, non-linear and time-dependent…
Biological neural networks outperform current computer technology in terms of power consumption and computing speed while performing associative tasks, such as pattern recognition. The analogue and massive parallel in-memory computing in biology differs strongly from conventional transistor electronics…
London: Macmillan Publishers Limited, part of Springer Nature, 2020-09-02
Neuromorphic systems are currently experiencing a rapid upswing due to the fact that today's CMOS (complementary metal oxide silicon) based technologies are increasingly approaching their limits. In particular, for the area of machine learning, energy consumption of today's electronics is an important…
London: Macmillan Publishers Limited, part of Springer Nature, 2020-07-16
HEMTs (high electron mobility transistors) auf GaN-Basis besitzen großes Potenzial für die HF- (Hochfrequenz) und Leistungselektronik und werden bereits in HF-Leistungsverstärkern und als Leistungsschalter verwendet. Üblicherweise sind GaN HEMTs Normally-On Transistoren (d.h. Transistoren, die sich bei…