Micropower IC

Vittoz, E.A.

doi:10.1109/esscirc.1980.5468768

Cited by 23 publications

(17 citation statements)

References 30 publications

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“…In the passive case, ion channels selectively allow ions to flow through the membrane by the process of diffusion. In electronics, it is possible to implement the same physical process by using MOS transistor devices, operated in the subthreshold region (also referred to as weak inversion) [17,20].…”

Section: Subthreshold Analog Circuitsmentioning

confidence: 99%

Computation in Neuromorphic Analog VLSI Systems

Indiveri

2002

Perspectives in Neural Computing

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In this paper we present an overview of basic neuromorphic analog circuits that are typically used as building blocks for more complex neuromorphic systems. We present the main principles used by the neuromorphic engineering community and describe, as case example, a neuromorphic VLSI system for modeling selective visual attention. Neuromorphic EngineeringThe term "neuromorphic" was coined by Carver Mead to describe very large scale integration (VLSI) systems containing electronic analog circuits that mimic neurobiological architectures present in the nervous system [18]. Neuromorphic computation is related to modeling and simulation of networks of neurons and systems using the same organizing principles found in real nervous system. In recent times the term "neuromorphic" has also been used to describe mixed analog/digital VLSI systems that implement computational models of real neural systems. These VLSI systems, rather than implementing abstract neural networks only remotely related to biological systems, in large part, directly exploit the physics of silicon (and of CMOS VLSI technology) to implement the physical processes that underlie neural computation.Neuromorphic engineering is a new discipline at the boundary between engineering and neuroscience, but which crosses many other fields, including biology, physics, computer science, psychology, physiology, etc.

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Section: Subthreshold Analog Circuitsmentioning

confidence: 99%

Computation in Neuromorphic Analog VLSI Systems

Indiveri

2002

Perspectives in Neural Computing

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“…CMOS is the technology of choice for low cost low power systemon-a-chip solutions [5]. The high flicker noise exhibited by CMOS devices demands much attention from the designer to achieve the required signal-to-noise ratio.…”

Section: Introductionmentioning

confidence: 99%

An Ultra Low Power Low Noise Chopper Amplifier for Wireless BEG

Yates

Rodriguez‐Villegas

2006

2006 49th IEEE International Midwest Symposium on Circuits and Systems

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Abstract-The realisation of wireless EEG systems suitable for long term monitoring requires low noise, low power and low voltage circuit design. Presented in this paper is a 1 V, 1.4 ,uW chopper amplifier implemented in a 0.35 ,um CMOS process. The achieved input referred noise voltage is 1.5 ,uV rms and the gain is 44 dB. Since the dynamic range of the input EEG signal is dominated by the offset voltage generated at the electrode-tissue interface, a novel input high pass filter has been designed. The required filter capacitance is limited to 40 pF by recognising that the input chopper switches can be combined with the amplifier input capacitance to emulate a large resistance.

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“…Another exciting research area that evolved in last few years, is the synthesis of analog VLSI for sensory information processing systems [2,3] employing MOS transistors operating in subthreshold region [4,5]. To exploit translinear behavior, MOSFET is made to operate in subthreshold region and has wide application in analog neuromorphic LSI and VLSI systems [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Design of Low Power Current Mode Square-Root Circuit

Thakral¹

2015

IJEM

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Analog circuits have been viewed as a voltage dominated type of signal processing. With the advent of CMOS technology, shrinking feature size, and reduction of supply voltage a new class of circuits developed: currentmode circuits. Among current-mode circuits "Translinear circuits" is one of the important and emerging research interests for low power analog designers. It is the practical means of implementing nonlinear signal processing functions. The performance of analog circuits strongly depends upon techniques used to exploit the characteristics of the transistors. In this paper, using exponential current-voltage relationship of MOS transistor when biased in subthreshold-mode, a square-root circuit is proposed. The circuit simulations were carried on TSMC 0.18 micrometer technology using ELDO Simulator.

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Micropower IC

Cited by 23 publications

References 30 publications

Computation in Neuromorphic Analog VLSI Systems

Computation in Neuromorphic Analog VLSI Systems

An Ultra Low Power Low Noise Chopper Amplifier for Wireless BEG

Design of Low Power Current Mode Square-Root Circuit

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