Sentence examples for memory tokens from inspiring English sources

Three components – inference transition, volatile/non-volatile memory tokens – were newly developed to achieve required functions.

Each patient carried out a comprehensive neuropsychological evaluation including: MiniMental – State Examination (MMSE), Rey Auditory Verbal Learning Test (episodic memory), Token Test (verbal comprehension), Frontal Assessment Battery (executive functioning), and Visual Search (selective attention).

Table 2 Buffer sizes for the optimized dataflow model   Memory requirements (tokens) e 1 p s p r e 2 p d p s  + (p d  − p o )(p c  − 1 p s e 3 p f p c e 4, e 7, e 8, e 9 p c e 5 Mode LDA: pf(pf + pN) Mode SVM: (p sv1  + p sv2  + p sv3 )(p f  + 1) e 6 1 Again, edges that have identical buffer sizes are listed in the same row along with their common buffer size.

Table 1 Buffer sizes for the initial dataflow model   Memory requirements (tokens) e 1, e 6 p r p s e 2 (p r p s  − p fw )/(p fw  − p fo ) e 3 (p r p s  − p fw )/(p fw  − p fo )–1 e 8 p r p s e 9 2p N p f e 10 (p r p s )/(p d  − p o ) e 7, e 4, e 5, e 11 1 Edges that have identical buffer sizes are listed in the same row along with their common buffer size.

They have their brief season of radio airplay and then linger in memory as permanent tokens of generational identity.

J. Buck, "Scheduling Dynamic Dataflow Graphs With Bounded Memory Using the Token Flow Model," Memorandum No. UCB/ERL M93/69 (Ph.D. Thesis), EECS Dept., University of California, Berkeley, September 1993.

That is, the proposal is an exemplar-based model that "recognizes input and generates outputs by analogical evaluation across a lexicon of distinct memory traces of remembered tokens of speech" (Gahl & Yu, 2006: 213; see also Bod, 2009).

Pinwheel and Red Robot Labs are enabling users to interact with physical locations by creating digital tokens and memories, shareable with others.

These are the true tokens of historical memory.

Researchers had 48 healthy participants train on a test of short-term working memory involving a search for tokens hidden behind squares on the screen (totaling 13 hours of training over 20 days).

The interaction between the agent's external interfaces, the types, the tokens, and the memory must be hand in glove.