Edward A Dennis
Apr 28, 2020; 0:jlr.T120000868v1-jlr.T120000868
Tribute

Ashley J. Snider
Apr 1, 2020; 61:466-467
Tribute

Join Miriam Harris, David Price and Henry Burrell as they dissect the weird internal memo row at Google. Was a male engineer genuinely trying to help Google and make a point about the company being too Left, or is he just an arsehole? Then we describe the iPhone 8 dummy we received this week (take a look at it here: https://www.youtube.com/watch?v=PRNIwh61j_E ) and the revelations that came from the Homepod firmware leak. We also debate the usefulness of an LTE Apple Watch and try to make puns work. Magic.  

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Invitation Only Research Event

Jamaica’s senior men’s ice hockey team’s historic championship win at last year’s Amerigol LATAM Cup is memorialised in a Canadian sports yearbook published earlier this year. The team copped the championship in its first international outing...

Invitation Only Research Event

All doctors, irrespective of their specialty or the setting in which they work, will care for patients who die. Around half of all deaths occur in hospitals. Evidence suggests that the quality of communication around this process is poorer in hospitals than in other settings, according to responses from relatives who have experienced bereavement....

Military Entrance Processing Stations won't process individuals who have had COVID-19 for military service, even if they've fully recovered from the virus, the Pentagon confirmed this week.

Neurons in the hippocampus categorize what we experience into abstract, discrete events, such as taking a walk versus having lunch

-- Read more on ScientificAmerican.com

Exercise like walking, swimming, and even dancing have been shown to be good for your memory, but the optimal intensity of that exercise has been unclear... until now

-- Read more on ScientificAmerican.com

People hate Mondays. And they love Fridays. The Carpenters crooned about being blue in "Rainy Days and Mondays." The restaurant chain T.G.I. Friday's might restrict its clientele to workaholics if it were to rename itself T.G.I. Monday's.

Lucy Boston had led an adventurous life for a woman of her time. She had dropped out of Oxford University to become a nurse during WWI and worked in a hospital in Normandy. She had married her cousin, had her son Peter, divorced her husband, and moved to Germany and Italy to paint. When Peter started Cambridge, Lucy also moved to Cambridge and began obsessively painting King's College Chapel. Then in 1939, she bought The Manor, Hemingford Grey.

In Memory in a House, Lucy describes the two years that it took to restore The Manor as "which were by far the happiest of my life, even in spite of the war that broke out as soon as the builders began." (p. 19) In fact, she views her realtionship with the house as a love affair. She was aware that the house, which was built as a Norman manor in 1120 by Payne Osmundsen, was very historic, and she eventually documented everything she found and all the changes she made.

The forced restoration was brought about by the fact that the house was structually unsound due to cheap and unskillful renovations over the years. Faced with unsupported structural beams, walls cracking from top to bottom, and drastically sloping floors, Lucy was had no choice but to fix these problems. She was lucky enough to get honest and competent builders and architects to help her with the delicate job of historical renovation.

It becomes clear while reading the book that restoring the house was as much a creative endeavor for Lucy as painting a picture, or writing fiction. She was extremely sensitive to atmosphere, and accepted the physical imperfections of the house as part of the character that it had developed as it aged. She was also willing to change her mind about the alterations and restoration as she went along; the dining room, which she had thought was hopeless and would be used just as a corridor, became the center of her life, connecting the interior of the house with its equally important exterior garden.

By Emily Reynolds. Findings have implications for judges, police officers, and others involved with gathering evidence and interviewing eyewitnesses.

Our weekly round-up of the best psychology coverage from elsewhere on the web

A young artist inherits her Grammy's home in The Vales and begins to remember the stories her Grammy once shared with her. Where they real or has Grammy already lost her marbles a wee bit? When some friends come to visit she regales them with the stories and gives them a tub of her Grammy's favourite chees - the Bless Family Vegan Parmesan Cheese that she had procured from the famous Blessed Cheese cafe run by the Bless family.

Memory.

Brain -- Diseases.

Memory.

Hutton, George Stewart, 1906-1984.

1968.

A little-known monument in Emporia, Kan., which recently received federal recognition, will add 10 new names to the list of teachers and support staff who’ve died on the job.

Valencia : M. Alufre, 1886.

[London?] : [Endell Street Military Hospital?], [1920] (Harlesden, London N.W. 10 : Leveridge & Co.)

Paris, [France] : J.B. Baillière, Libraire de l'Académie Impériale de Médicine, 1855.

London : Stacy Bias, 2019.

We present SmartExchange, an algorithm-hardware co-design framework to trade higher-cost memory storage/access for lower-cost computation, for energy-efficient inference of deep neural networks (DNNs). We develop a novel algorithm to enforce a specially favorable DNN weight structure, where each layerwise weight matrix can be stored as the product of a small basis matrix and a large sparse coefficient matrix whose non-zero elements are all power-of-2. To our best knowledge, this algorithm is the first formulation that integrates three mainstream model compression ideas: sparsification or pruning, decomposition, and quantization, into one unified framework. The resulting sparse and readily-quantized DNN thus enjoys greatly reduced energy consumption in data movement as well as weight storage. On top of that, we further design a dedicated accelerator to fully utilize the SmartExchange-enforced weights to improve both energy efficiency and latency performance. Extensive experiments show that 1) on the algorithm level, SmartExchange outperforms state-of-the-art compression techniques, including merely sparsification or pruning, decomposition, and quantization, in various ablation studies based on nine DNN models and four datasets; and 2) on the hardware level, the proposed SmartExchange based accelerator can improve the energy efficiency by up to 6.7$ imes$ and the speedup by up to 19.2$ imes$ over four state-of-the-art DNN accelerators, when benchmarked on seven DNN models (including four standard DNNs, two compact DNN models, and one segmentation model) and three datasets.

Xi Chen, Weidong Liu, Yichen Zhang.

Source: The Annals of Statistics, Volume 47, Number 6, 3244--3273.

Abstract:
This paper studies the inference problem in quantile regression (QR) for a large sample size $n$ but under a limited memory constraint, where the memory can only store a small batch of data of size $m$. A natural method is the naive divide-and-conquer approach, which splits data into batches of size $m$, computes the local QR estimator for each batch and then aggregates the estimators via averaging. However, this method only works when $n=o(m^{2})$ and is computationally expensive. This paper proposes a computationally efficient method, which only requires an initial QR estimator on a small batch of data and then successively refines the estimator via multiple rounds of aggregations. Theoretically, as long as $n$ grows polynomially in $m$, we establish the asymptotic normality for the obtained estimator and show that our estimator with only a few rounds of aggregations achieves the same efficiency as the QR estimator computed on all the data. Moreover, our result allows the case that the dimensionality $p$ goes to infinity. The proposed method can also be applied to address the QR problem under distributed computing environment (e.g., in a large-scale sensor network) or for real-time streaming data.

Shuyang Bai, Murad S. Taqqu.

Source: Bernoulli, Volume 26, Number 2, 1473--1503.

Abstract:
We consider a long-memory stationary process, defined not through a moving average type structure, but by a flow generated by a measure-preserving transform and by a multiple Wiener–Itô integral. The flow is described using a notion of mixing for infinite-measure spaces introduced by Krickeberg (In Proc. Fifth Berkeley Sympos. Math. Statist. and Probability (Berkeley, Calif., 1965/66), Vol. II: Contributions to Probability Theory, Part 2 (1967) 431–446 Univ. California Press). Depending on the interplay between the spreading rate of the flow and the order of the multiple integral, one can recover known central or non-central limit theorems, and also obtain joint convergence of multiple integrals of different orders.

Fuhlbohm (Family)

Fuhlbohm (Family)

Kraus, Peter -- Biography.

Larry R. Squire
Oct 14, 2009; 29:12711-12716
40th Anniversary Retrospective

Earl K. Miller
Aug 15, 1996; 16:5154-5167
Articles

Traditional views of sensorimotor adaptation (i.e., adaptation of movements to perturbed sensory feedback) emphasize the role of automatic, implicit correction of sensory prediction errors. However, latent memories formed during sensorimotor adaptation, manifest as improved relearning (e.g., savings), have recently been attributed to strategic corrections of task errors (failures to achieve task goals). To dissociate contributions of task errors and sensory prediction errors to latent sensorimotor memories, we perturbed target locations to remove or enforce task errors during learning and/or test, with male/female human participants. Adaptation improved after learning in all conditions where participants were permitted to correct task errors, and did not improve whenever we prevented correction of task errors. Thus, previous correction of task errors was both necessary and sufficient to improve adaptation. In contrast, a history of sensory prediction errors was neither sufficient nor obligatory for improved adaptation. Limiting movement preparation time showed that the latent memories driven by learning to correct task errors take at least two forms: a time-consuming but flexible component, and a rapidly expressible, inflexible component. The results provide strong support for the idea that movement corrections driven by a failure to successfully achieve movement goals underpin motor memories that manifest as savings. Such persistent memories are not exclusively mediated by time-consuming strategic processes but also comprise a rapidly expressible but inflexible component. The distinct characteristics of these putative processes suggest dissociable underlying mechanisms, and imply that identification of the neural basis for adaptation and savings will require methods that allow such dissociations.

SIGNIFICANCE STATEMENT Latent motor memories formed during sensorimotor adaptation manifest as improved adaptation when sensorimotor perturbations are reencountered. Conflicting theories suggest that this "savings" is underpinned by different mechanisms, including a memory of successful actions, a memory of errors, or an aiming strategy to correct task errors. Here we show that learning to correct task errors is sufficient to show improved subsequent adaptation with respect to naive performance, even when tested in the absence of task errors. In contrast, a history of sensory prediction errors is neither sufficient nor obligatory for improved adaptation. Finally, we show that latent sensorimotor memories driven by task errors comprise at least two distinct components: a time-consuming, flexible component, and a rapidly expressible, inflexible component.

The PFC, through its high degree of interconnectivity with cortical and subcortical brain areas, mediates cognitive and emotional processes in support of adaptive behaviors. This includes the formation of fear memories when the anticipation of threat demands learning about temporal or contextual cues, as in trace fear conditioning. In this variant of fear learning, the association of a cue and shock across an empty trace interval of several seconds requires sustained cue-elicited firing in the prelimbic cortex (PL). However, it is unknown how and when distinct PL afferents contribute to different associative components of memory. Among the prominent inputs to PL, the hippocampus shares with PL a role in both working memory and contextual processing. Here we tested the necessity of direct hippocampal input to the PL for the acquisition of trace-cued fear memory and the simultaneously acquired contextual fear association. Optogenetic silencing of ventral hippocampal (VH) terminals in the PL of adult male Long-Evans rats selectively during paired trials revealed that direct communication between the VH and PL during training is necessary for contextual fear memory, but not for trace-cued fear acquisition. The pattern of the contextual memory deficit and the disruption of local PL firing during optogenetic silencing of VH-PL suggest that the VH continuously updates the PL with the current contextual state of the animal, which, when disrupted during memory acquisition, is detrimental to the subsequent rapid retrieval of aversive contextual associations.

SIGNIFICANCE STATEMENT Learning to anticipate threat from available contextual and discrete cues is crucial for survival. The prelimbic cortex is required for forming fear memories when temporal or contextual complexity is involved, as in trace fear conditioning. However, the respective contribution of distinct prelimbic afferents to the temporal and contextual components of memory is not known. We report that direct input from the ventral hippocampus enables the formation of the contextual, but not trace-cued, fear memory necessary for the subsequent rapid expression of a fear response. This finding dissociates the contextual and working-memory contributions of prelimbic cortex to the formation of a fear memory and demonstrates the crucial role for hippocampal input in contextual fear learning.

Pattern separation and completion are fundamental hippocampal computations supporting memory encoding and retrieval. However, despite extensive exploration of these processes, it remains unclear whether and how top-down processes adaptively modulate the dynamics between these computations. Here we examine the role of expectation in shifting the hippocampus to perform pattern separation. In a behavioral task, 29 participants (7 males) learned a cue-object category contingency. Then, at encoding, one-third of the cues preceding the to-be-memorized objects, violated the studied rule. At test, participants performed a recognition task with old objects (targets) and a set of parametrically manipulated (very similar to dissimilar) foils for each object. Accuracy was found to be better for foils of high similarity to targets that were contextually unexpected at encoding compared with expected ones. Critically, there were no expectation-driven differences for targets and low similarity foils. To further explore these effects, we implemented a computational model of the hippocampus, performing the same task as the human participants. We used representational similarity analysis to examine how top-down expectation interacts with bottom-up perceptual input, in each layer. All subfields showed more dissimilar representations for unexpected items, with dentate gyrus (DG) and CA3 being more sensitive to expectation violation than CA1. Again, representational differences between expected and unexpected inputs were prominent for moderate to high levels of input similarity. This effect diminished when inputs from DG and CA3 into CA1 were lesioned. Overall, these novel findings strongly suggest that pattern separation in DG/CA3 underlies the effect that violation of expectation exerts on memory.

SIGNIFICANCE STATEMENT What makes some events more memorable than others is a key question in cognitive neuroscience. Violation of expectation often leads to better memory performance, but the neural mechanism underlying this benefit remains elusive. In a behavioral study, we found that memory accuracy is enhanced selectively for unexpected highly similar foils, suggesting expectation violation does not enhance memory indiscriminately, but specifically aids the disambiguation of overlapping inputs. This is further supported by our subsequent investigation using a hippocampal computational model, revealing increased representational dissimilarity for unexpected highly similar foils in DG and CA3. These convergent results provide the first evidence that pattern separation plays an explicit role in supporting memory for unexpected information.

Currently in the works, the new monument will honor her contributions and legacy with a contemplative space

On March 29, the musical world lost a giant - Polish composer and conductor Krzysztof Penderecki. The Library of Congress Music Division remains connected to Penderecki through primary sources in our collections, and we hope that you can remain connected to him in this way, as well.

Just when you thought you watched the best shot of the Brier, another best shot of the Brier appears at the 2020 Canadian men's curling championship being held in Kingston, Ont.

Instead of every meeting attendee staring at a flat Zoom screen, Apple is looking to the future of video conferencing with Memoji-style avatars arranged in augmented reality around each meeting attendee.