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Abstract: Training-based algorithms significantly outperform training-free methods in terms of recognition performance for steady-state visual-evoked potential (SSVEP)-based brain–computer Interfaces ...

In a wide-ranging conversation, Abhinandan Sekhri speaks with writer and creator Anurag Minus Verma about his book, The Great Indian Brain Rot: Love, Lies and Algorithms in Digital India, which ...

To understand complex brain processes, there is a clear need to shift from traditional single-cell studies of trial-averaged responses to single-trial analyses of multiple neurons. In this respect, ...

New applications of AI and machine learning techniques were presented at Neuroscience 2025, the annual meeting of the Society for Neuroscience and the world’s largest source of emerging news about ...

Losing an arm cuts more than muscle and bone. It also severs the easy, wordless link between what you want to do and what ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Reference implementation of the Extended Parity-Check Transformation Algorithm (EPTA) for iterative soft-decision decoding of binary cyclic codes. There was an error ...

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...