Encoding (memory)

About: Encoding (memory) is a research topic. Over the lifetime, 7547 publications have been published within this topic receiving 120214 citations. The topic is also known as: memory encoding & encoding of memories.

Memory mapping apparatus and method for video decoder/encoder

Abstract: A memory mapping apparatus and a method in a video decoder/encoder utilize a dividing unit, a storage unit and a memory allocation unit. The dividing unit divides picture data into macroblocks and divides each of the macroblocks, which are units of encoding, into partitions having a predetermined size. A storage unit comprises at least one memory bank which is independently accessible. A memory allocation unit allocates adjacent partitions to different memory banks. Accordingly, a total number of cycles necessary to read and write the picture data is reduced.

An Analysis of Prospective Memory

Abstract: Publisher Summary This chapter discusses prospective memory analysis and demonstrates that better integrating retrospective memory theories (and principles) with research on prospective memory can profitably advance understanding of prospective memory. Consequently, some similarities and functional relationships between retrospective and prospective memory phenomena that have previously been overlooked in the research reports on prospective memory have been elucidated. By making explicit the uniformities and analogous components of prospective and retrospective memory, it provides an overarching approach for generating new ideas for empirical work on prospective memory. How those cognitive processes that are well established in the retrospective memory literature might change the mental representation of prospective memories have been explained. The chapter analyzes how various intentions are formed in memory (encoding), consider next how they are realized (retrieved), and finally scrutinize how representations of intentions can change over the interval between formation and realization.

Post-silicon verification for cache coherence

Abstract: Modern processor designs are extremely complex and difficult to validate during development, causing a growing portion of the verification effort to shift to post-silicon, after the first few hardware prototypes become available. Extremely slow simulation speeds during pre-silicon verification result in functional errors escaping into silicon, a problem that is further exacerbated by the growing complexity of the memory subsystem in multi-core platforms. In this work we present CoSMa, a novel technology offering high coverage functional post-silicon validation of cache coherence protocols in multi-core systems. It enables the detection and diagnosis of functional errors in the memory subsystem by recording at runtime a compact encoding of the operations occurring at each cache line and checking their correctness at regular intervals. We leverage the systempsilas existing memory resources to store the required activity, thus minimizing area overhead. When the system is finally ready for customer shipment, CoSMa can be completely disabled, eliminating any performance or memory overhead. We reproduce in our experiments a set of coherence protocol bugs based on published errata documents of commercial multi-core designs, and show that CoSMa is highly effective in detecting them.

Ghosts in the Machine II: Neural Correlates of Memory Interference from the Previous Trial

Abstract: Previous memoranda interfere with working memory. For example, spatial memories are biased toward locations memorized on the previous trial. We predicted, based on attractor network models of memory, that activity in the frontal eye fields (FEFs) encoding a previous target location can persist into the subsequent trial and that this ghost will then bias the readout of the current target. Contrary to this prediction, we find that FEF memory representations appear biased away from (not toward) the previous target location. The behavioral and neural data can be reconciled by a model in which receptive fields of memory neurons converge toward remembered locations, much as receptive fields converge toward attended locations. Convergence increases the resources available to encode the relevant memoranda and decreases overall error in the network, but the residual convergence from the previous trial can give rise to an attractive behavioral bias on the next trial.