Results 31 to 40 of about 467,421 (344)
Parallel window decoding enables scalable fault tolerant quantum computation [PDF]
Nature Communications, 2022 Large-scale quantum computers have the potential to hold computational capabilities beyond conventional computers. However, the physical qubits are prone to noise which must be corrected in order to perform fault-tolerant quantum computations.
L. Skoric +4 more
semanticscholar +1 more source
Frontiers in Neuroinformatics, 2019 Many cognitive, sensory and motor processes have correlates in oscillatory neural source activity, which is embedded as a subspace in the recorded brain signals. Decoding such processes from noisy magnetoencephalogram/electroencephalogram (M/EEG) signals
Sebastián Castaño-Candamil +3 more
doaj +1 more source
Principles of Intelligence: On Evolutionary Logic of the Brains
Frontiers in Systems Neuroscience, 2016 Humans and animals may encounter numerous events, objects, scenes, foods and countless social interactions in a lifetime. This means that the brain is constructed by evolution to deal with uncertainties and various possibilities.
Joe Z Tsien, Joe Z Tsien
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Reduced complexity hard‐ and soft‐input BCH decoding with applications in concatenated codes
IET Circuits, Devices and Systems, 2021 Error correction coding for optical communication and storage requires high rate codes that enable high data throughput and low residual errors. Recently, different concatenated coding schemes were proposed that are based on binary BCH codes with low ...
Jürgen Freudenberger +2 more
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Time-to-Digital Converter IP-Core for FPGA at State of the Art
IEEE Access, 2021 The Field Programmable Gate Array (FPGA) structure poses several constraints that make the implementation of complex asynchronous circuits such as Time–Mode (TM) circuits almost unfeasible.
Fabio Garzetti +3 more
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NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 The dominant paradigm for neural text generation is left-to-right decoding from autoregressive language models. Constrained or controllable generation under complex lexical constraints, however, requires foresight to plan ahead feasible future paths ...
Ximing Lu +11 more
semanticscholar +1 more source
Frontiers in Cellular Neuroscience, 2017 A major stumbling block to cracking the real-time neural code is neuronal variability - neurons discharge spikes with enormous variability not only across trials within the same experiments but also in resting states.
Meng Li +3 more
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Revisiting Persistent Neuronal Activity During Covert Spatial Attention
Frontiers in Neural Circuits, 2021 Persistent activity has been observed in the prefrontal cortex (PFC), in particular during the delay periods of visual attention tasks. Classical approaches based on the average activity over multiple trials have revealed that such an activity encodes ...
Julian L. Amengual, Suliann Ben Hamed
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ZEM: Zero-Cycle Bit-Masking Module for Deep Learning Refresh-Less DRAM
IEEE Access, 2021 In sub-20 nm technologies, DRAM cells suffer from poor retention time. With the technology scaling, this problem tends to be worse, significantly increasing refresh power of DRAM.
Duy-Thanh Nguyen +4 more
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Blood, 2017 In this issue of Blood, Alvarez-Dominguez et al reveal the strategies used to achieve precise but highly dynamic translational control of protein synthesis during red blood cell development.
openaire +3 more sources