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Three dimensional (3D) integration technology merged with neuromorphic computing system plays a significant role for the implementation of energy efficient advanced neurobiological architecture. This work explores a novel 3D neuromorphic system that utilizes the Through Silicon Via (TSV) interconnects to build the complicated hardware neural structure. It allows the ultra-high density integrated system...
Scaling down the transistor to gain more computation power will eventually reach the unsurmountable physical limitation. Neuromorphic Computing is a novel and promising computing scheme emulating the nervous structure and data processing methodology of a human brain. This paper presents the comparison between the conventional Von Neumann architecture and the neuromorphic computing architecture. We...
3D integration technology offers a near term strategy for bypassing Moore's Law. Applying 3D integration to neuromorphic computing (NC) could provide a low power consumption, high-connectivity, and massively parallel processed system that can accommodate high demand computational tasks. This paper proposes a novel analog spiking nanoscale 3D NC system, wherein both neurons and synapses are stacked...
This work details how a neuromorphic system is simulated with a 3D integrated electronic system. The neural system is modeled as a 3D integrated circuit to investigate a highly efficient neuromorphic computing system that ameliorates implementation issues induced by prior 2D circuital systems. A 3D neuronal model incorporating the Through Silicon Via (TSV) is constructed and the performance is simulated...
Making a computing system that mimic biological neural behavior in mammalian brain has attracted worldwide attention and endeavor. Neuromorphic computing systems, employing very-large-scale integration circuits to implement onto hardware, incorporates learning. Neural encoder, as one of the crucial component in neuromorphic computing systems, encodes the input information into spikes. By taking the...
Three-dimensional (3D) integrated circuits (ICs) offer a promising near-term solution for pushing beyond Moore's Law because of their compatibility with current technology while providing high system speed, high density, massively parallel processing, low power consumption, and a small footprint. In this paper, a novel 3D neuromorphic IC architecture combining monolithic 3D integration and vertical...
Neurophysiological architecture using 3D integration technology offers a high device interconnection density as well as fast and energy efficient links among the neuron and synapses layers. In this paper, we propose to reconfigure the Through-Silicon-Vias (TSVs) to serve as the neuronal membrane capacitors that map the membrane electrical activities in a hybrid 3D neuromorphic system. We also investigate...
Neuromorphic computing hardware has undergone a rapid development and progress in the past few years. One of the key components in neuromorphic computing systems is the neural encoder which transforms sensory information into spike trains. In this paper, both rate encoding and temporal encoding schemes are discussed. Two novel temporal encoding schemes, parallel and iteration, are presented. The power...
Neuromorphic computing is an emerging computing technology which utilizes very-large-scale integration (VLSI) technology to mimic neuro-biological architectures present in the nervous system. It promises the realization of parallel computing with extremely low power consumption. To fully take advantage of this computing technology, its scalability and complexity need to be extended beyond its current...
Neural encoder is one of the key components in neuromorphic computing systems, whereby sensory information is transformed into spike coded trains. The design of temporal encoder has attracted a widespread attention in the field of neuromorphic computing in the past few years. The information in the temporal encoding scheme with inter-spike intervals can arise from correlations between spike times,...
Neuromorphic computation is recognized as a break-through technology which is very energy efficient and has a huge potential for significant contribution in hardware architecture using integrated circuit technology. Due to the huge parallelism between the neuron layers, hardware implementation of neuromorphic system using three dimensional (3D) integration could provide a sustainable and promising...
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