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We propose a notion of prediction that does not require sufficiency. The corresponding models can be substantially smaller than the ε-machine and are closely related to generative HMMs. ... The causal states of computational mechanics define the minimal sufficient (prescient) memory for a given stationary stochastic process. ... Sufficient memory kernels are predictive. One could say that a predictive memory is sufficient for prediction. ...doi:10.1007/978-3-642-02466-5_25 fatcat:xw33u624xjcrznksfy36zzuiny
; and more importantly (2) the CA1 spike trains predicted from the CA3 spike trains by the MIMO model also are sufficient for predicting the locations on a single-trial basis. ... We have found that: (1) both hippocampal CA3 and CA1 spike trains contain sufficient information for predicting the locations of the sample responses (i.e., left and right memories) during the DNMS task ... signal model; second, both CA3 and CA1 patterns contains sufficient information for decoding the memory events; third, the MIMO-model predicted CA1 patterns also contain sufficient information of the memory ...doi:10.3389/fnsys.2014.00097 pmid:24904318 pmcid:PMC4036140 fatcat:z5yyonb6hbdnvdpy2kfjajjp3e
American Catholic Philosophical Quarterly
These are past events. For only past events are fully defined, ready ta be experienced. Thus the past we have is the only one we, as we now are, constituted by our experiences, could have had. ... The ultimate reason for the asymmetry is that process is creative, and creative out ‘ of past events as materials (not some “matter” having the events, but the events themselves). ...
(Utrecht University, Utrecht, Netherlands) Are space and time automatically integrated in episodic memory? Memory, 2006(Feb), Vol 14(2), 232-240. ... (Humboldt University, Berlin, Germany) Why are reasoning ability and working memory ca- pacity related to mental speed? ...
We then prove that there do not exist non-Markovian quantum processes that have finite Markov order with respect to all possible instruments; the same process exhibits distinct memory effects with respect ... The memory effects captured by different choices of instruments vary dramatically, providing a rich landscape for future exploration. ... Fortunately, even the most complex processes typically have an effectively finite-length memory, allowing for an efficient description that only considers the relevant portion of history necessary to predict ...doi:10.1103/physrevlett.122.140401 fatcat:rly6vtmavvdxvex7mcj5digssy
Targets were presented either in-phase or out-of-phase with rhythmically flickering coloured stimuli, in three conditions: 1. the rhythm was non-predictive; 2. the rhythm was non-predictive and temporal ... expectations were concurrently manipulated in a memory-based fashion using predictive colour cues; 3. the rhythm was predictive and intentionally used to form expectations. ... Targets were presented either in-phase or out-of-phase with rhythmically flickering coloured stimuli, in three conditions: 1. the rhythm was non-predictive; 2. the rhythm was non-predictive and temporal ...doi:10.1016/j.sbspro.2014.02.312 fatcat:7vavh6p4y5ex3jkmihrum676lm
This suggests that adjustment to non-native speakers depends on working memory. This research has implications for the role of interpersonal expectations in the way people process language. ... Experiment 2 shows that, above a certain threshold, the higher participants' working memory is, the less they are able to detect the change with a non-native speaker. ... ACKNOWLEDGMENTS We thank Andrew McLeod and Lelia Glass for carrying out the experiments and James Vandermeer for comments on an earlier draft. ...doi:10.1080/0163853x.2012.698493 fatcat:5jxeq2vrifgtxfzxx54z6rfrja
By design, the model predicts most accurately I-V relation at small non-disturbing electrical stresses, which is often the most critical range of operation for circuit modeling. ... devices which feature smooth non-abrupt resistance switching. ... In the proposed modeling approach slow transients are neglected assuming that there is sufficiently long time >> ∆ between applied voltage pulses. ...doi:10.1007/s00339-015-8993-7 fatcat:fcpercuzk5g3nanu4fwfuabvmi
Which can be used for fast prediction of new samples in real-time. ... The improved task based ensemble extraction is compared with non-linear computation models using various SVM kernels for speed and accuracy. ... Narayanan, Kannan Srinathan and Rama Murthy for their help in the submission of the paper (Garimella and Iyer., 2007) which helped the formulation of the dual for our overlap functions. ...doi:10.5194/isprsannals-ii-4-w2-119-2015 fatcat:pcmln6w4bjdj3jjh73km2xlzo4
In cloud computing, services share the same resource pool and compete for critical resources, such as CPU and memory resources. ... The comparative experiments show that the proposed approach can meet service requests and can improve resource utilization regardless of whether the resource pool is sufficient. ... As a result of memory over-allocation for VM1 and CPU over-allocation for VM2, both CPU and memory resources are insufficient for VM3. ...doi:10.1109/access.2019.2894188 fatcat:kkqjhyxpx5cqzgy7axi5nk6334
In the event that these "bridge" predictions are inaccurate, this architecture enables the rapid encoding of novel contingencies. ... The medial temporal lobe-conduit of parallel connectivity: a model for attention, memory, and perception. Front. Integr. Neurosci. 8:86. ... Overall, SMSC predicts that the hippocampus is not required for retrieval of remote memories, but is required for recent ones that lack sufficient consolidation. ...doi:10.3389/fnint.2014.00086 pmid:25426036 pmcid:PMC4227493 fatcat:wtunpzl5aneora4xdqgysgsj2i
As a by-product this can produce a prediction accuracy gain that, if required, can be traded for further reductions in memory size and prediction time. ... For image patch recognition our proposal produced a 90% memory reduction, and improved in several percentage points the prediction accuracy. ... The speed can also be optimized by selecting on demand the number of trees that are consulted for each prediction  . ...doi:10.1109/iccv.2015.467 dblp:conf/iccv/RodriguezS15 fatcat:ewgjbstup5bs3b5eot7ybm7vkm
In five out of the six subjects whose data were sufficiently stationary for analysis, we found evidence of long memory between epileptic events. This memory spans time scales from 30 min to 40 days. ... We postulated that human inter-seizure intervals would follow a power-law relationship, and furthermore that evidence for the existence of a long-memory process could be established in this relationship ... Although the dataset is limited, it appears that the existence of memory between events is necessary for successful prediction. ...doi:10.3389/fneur.2014.00217 pmid:25386160 pmcid:PMC4208412 fatcat:l3mu5pribbe6raej4jjlpcvhoy
Memory networks are represented as graphs of items in which edge weights capture the strength of association between items. ... Our results have implications for theorizing memory disorders such as PTSD and designing computationally assisted conversational therapy. ... First, we test the hypothesis that spreading activation and non-monotonic plasticity are sufficient for human-like memory enhancement and forgetting. ...doi:10.1101/778563 fatcat:4cwady5dufbqxhjzxounxu4rqi
In Exp 2, reading times for target sentences that either confirmed or contradicted predictive inferences in low, moderate, and high causal sufficiency conditions were collected. ... Results show that high WM capacity readers make predictive inferences when causal sufficiency is high and target sentences confirmatory and that both low and high WM capac- ity readers make predictive ...
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