منابع مشابه
Multiplexing oscillatory biochemical signals.
In recent years it has been increasingly recognized that biochemical signals are not necessarily constant in time and that the temporal dynamics of a signal can be the information carrier. Moreover, it is now well established that the protein signaling network of living cells has a bow-tie structure and that components are often shared between different signaling pathways. Here we show by mathe...
متن کاملMultiplexing biochemical signals.
In this Letter we show that living cells can multiplex biochemical signals, i.e., transmit multiple signals through the same signaling pathway simultaneously, and yet respond to them very specifically. We demonstrate how two binary input signals can be encoded in the concentration of a common signaling protein, which is then decoded such that each of the two output signals provides reliable inf...
متن کاملMultiplexing of Signals using Superframes
In this paper I intend to present the concept of superframes and its use, primarily, in multiplexing techniques. The signals are supposed band limited and three multiplexing schemes are considered: Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA) and Frequency Hoping Multiple Access (FHMA). The rst two schemes give rise to tight superframes, whereas for FHMA, the ...
متن کاملOptical Wavelet Signals Processing and Multiplexing
We present compact integrable architectures to perform the discrete wavelet transform (DWT) and the wavelet packet (WP) decomposition of an optical digital signal, and we show that the combined use of planar lightwave circuits (PLC) technology and multiresolution analysis (MRA) can add flexibility to current multiple access optical networks. We furnish the design guidelines to synthesize wavele...
متن کاملMultiplexing signals in reinforcement learning with internal models and dopamine.
A fundamental challenge for computational and cognitive neuroscience is to understand how reward-based learning and decision-making are made and how accrued knowledge and internal models of the environment are incorporated. Remarkable progress has been made in the field, guided by the midbrain dopamine reward prediction error hypothesis and the underlying reinforcement learning framework, which...
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ژورنال
عنوان ژورنال: Physical Review Letters
سال: 2011
ISSN: 0031-9007,1079-7114
DOI: 10.1103/physrevlett.107.048101