Brain-computer interfaces (BCI) translate brain signals into artificial output to restore or replace natural central nervous system (CNS) functions. Multiple processes, including sensorimotor integration, decision-mak...
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Brain-computer interfaces (BCI) translate brain signals into artificial output to restore or replace natural central nervous system (CNS) functions. Multiple processes, including sensorimotor integration, decision-making, motor planning, execution, and updating, are involved in any movement. For example, a BCI may be better able to restore naturalistic motor behaviors if it uses signals from multiple brain areas and decodes natural behaviors' cognitive and motor aspects. This review provides an overview of the preliminary information necessary to plan a BCI project focusing on intracortical implants in primates. Since the brain structure and areas of non-human primates (NHP) are similar to humans, exploring the result of NHP studies will eventually benefit human BCI studies. The different types of BCI systems based on the target cortical area, types of signals, and decoding methods will be discussed. In addition, various successful state-of-the-art cases will be reviewed in more detail, focusing on the general algorithm followed in the real-time system. Finally, an outlook for improving the current BCI research studies will be debated.
The combination of non-orthogonal multiple access (NOMA) and multi-input multi-output (MIMO) approaches has been considered as assuring multiple access for the fifth generation technology. In this study, the performan...
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The combination of non-orthogonal multiple access (NOMA) and multi-input multi-output (MIMO) approaches has been considered as assuring multiple access for the fifth generation technology. In this study, the performance of a $2\times 2$2x2 MIMO-NOMA system with low-density parity check (LDPC) codes is investigated. Redundancy with randomly interleaved differential encoding (R-RIDE) is proposed and applied to LDPC encoded messages by two users. LDPC decoding is done using the sum-product algorithm (SPA), which has two types of decoding methods, hard-decision and soft-decision. For hard-decision, bit-flipping decoder is used and for soft-decision, probability domain, log-domain, and simplified log-domain decoders are used. Bit error rate (BER) versus signal-to-noise ratio (SNR) in (dB) and average mutual information (AMI) in (bps/Hz) versus SNR (dB) are evaluated to compare the performance of the proposed and conventional LDPC schemes in NOMA and MIMO-NOMA systems. Simulation results show that both AMI and BER of the proposed LDPC-R-RIDE in MIMO-NOMA system greatly outperforms conventional LDPC coded schemes in NOMA and MIMO-NOMA systems. Moreover, the proposed R-RIDE-LDPC in MIMO-NOMA system outperforms the proposed scheme in the NOMA system. From the simulation results, LDPC-R-RIDE with simplified log-domain decoder has the best AMI result and BER performance compared with other decoding methods.
Bar codes, used for the automatic processing of financial payment records, may be protected by extended Reed-Solomon codes over prime field alphabets. New decoding methods which handle both random and erasure errors a...
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Bar codes, used for the automatic processing of financial payment records, may be protected by extended Reed-Solomon codes over prime field alphabets. New decoding methods which handle both random and erasure errors are presented.
We present an efficient hardware implementation of a Huffman decoding algorithm that is based on the prefix-free property of Huffman codes. The proposed method can be used to reduce tester memory requirements for inte...
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We present an efficient hardware implementation of a Huffman decoding algorithm that is based on the prefix-free property of Huffman codes. The proposed method can be used to reduce tester memory requirements for integrated circuit testing. (C) 1997 Elsevier Science B.V.
Sequential circuits are hard to test because they contain a large number of internal states that are difficult to control and observe. Scan design is often used to simplify testing;however, scan is not always applicab...
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Sequential circuits are hard to test because they contain a large number of internal states that are difficult to control and observe. Scan design is often used to simplify testing;however, scan is not always applicable because of area and performance penalties. Recent advances in sequential circuit testing have led to techniques and tools that provide test sets with high coverage of single stuck-line (SSL) faults for nonscan circuits, However, these test sets contain a large number of patterns and require a tester with considerable pattern depth, We investigate the application of Huffman codes to pattern encoding. This allows the use of low-cost testers that do not require excessive memory. Our method is especially applicable to nonscan and partial-scan embedded core circuits. We demonstrate the feasibility of our approach by applying it to SSL test sets for the ISCAS'89 benchmarks.
It is shown how single-error correction in a residue arithmetic system can be accomplished in an efficient and fast manner. Two redundant moduli are necessary. This construction is extended to multiple errors. Another...
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It is shown how single-error correction in a residue arithmetic system can be accomplished in an efficient and fast manner. Two redundant moduli are necessary. This construction is extended to multiple errors. Another method of error detection or correction for residue arithmetic is also described. Implementation of these methods is considered. An example of the single-error correction procedure is given.
In a partial report paradigm, subjects observe during a brief presentation a cluttered field and after some time - typically ranging from 100 ms to a second - are asked to report a subset of the presented elements. A ...
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ISBN:
(纸本)9781424441242
In a partial report paradigm, subjects observe during a brief presentation a cluttered field and after some time - typically ranging from 100 ms to a second - are asked to report a subset of the presented elements. A vast buffer of information is transiently available to be broadcasted which, if not retrieved in time, fades rapidly without reaching consciousness. An interesting feature of this experiment is that objective performance and subjective confidence is decoupled. This converts this paradigm in an ideal vehicle to understand the brain dynamics of the construction of confidence. Here we report a high-density EEG experiment in which we infer elements of the EEG response which are indicative of subjective confidence. We find that an early response during encoding partially correlates with perceived confidence. However, the bulk of the weight of subjective confidence is determined during a late, N400-like waveform, during the retrieval stage. This shows that we can find markers of access to internal, subjective states, that are uncoupled from objective response and stimulus properties of the task, and we propose that this can be used with decoding methods of EEG to infer subjective mental states.
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