What Halbwachs called 'social frameworks of memory' are not the simple product of isolated individual memories, constructed after the fact by combinations of separate reminiscences, but are rather, in part, their source, the instruments used in particular acts of recall.
A particularly strong recommendation, elaborated in point 2, is to consider presenting the new perspective in the framework of a memory priming model, in which non synaptic priming mechanisms may be long-lasting and store memory.
A set of theories that contribute to the framework of collective memory such as those of Bourdieu and Geertz are detailed.
We proposed a framework of virtual memory in streaming server and at the client to reduce the bit rate of video to be streamed, by dropping of frames, based on the variance information, which in turn reduces the bandwidth requirement of clients connected to each multicast group and assists the coding process.
There's a sharp contrast, argues Halbwachs, between remembering and "the actual state of isolation" of a dreamer, who isn't capable directly of relying on these frameworks of collective memory: "it is not in memory but in the dream that the mind is most removed from society" (1925/1992, p. 42).
By re-conceptualizing the relationship between memory, sleep and the environment; SEAP provides a radically new framework for memory research, with implications for the measurement of memory and the design of empirical investigations in clinical, psychopharmacological and creative domains.
We have proposed a novel framework of kernel associative memory as an attractor neural network with a high degree of flexibility.
We show a design framework of shift register memories, which is usable for the high-speed register file of the RSFQ microprocessor.
OMEGA, The International Journal of Management Science 1978 6:1–9], replacing its tree search memory by the adaptive memory framework of tabu-search and introducing new associated strategies that are more flexible than the mechanisms of branch and bound.
By means of a distributed message-based event-driven framework, the size of memory-limited tractable problems increased 8-fold, resulting in a mere 8.3% increase in elapsed CPU time, attributable to inter-process communication overhead.
