Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks [PDF]
Artificial neural networks (ANNs) trained using backpropagation are powerful learning architectures that have achieved state-of-the-art performance in various benchmarks.
Cauwenberghs, Gert +3 more
core +2 more sources
Learning with three factors: modulating Hebbian plasticity with errors
Synaptic plasticity is a central theme in neuroscience. A framework of three-factor learning rules provides a powerful abstraction, helping to navigate through the abundance of models of synaptic plasticity. It is well-known that the dopamine modulation of learning is related to reward, but theoretical models predict other functional roles of the ...
Łukasz Kuśmierz +2 more
openaire +2 more sources
Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková +3 more
wiley +1 more source
Inner product encryption from ring learning with errors
The functional encryption scheme designed using the lattice can realize fine-grained encryption and it can resist quantum attacks. Unfortunately, the sizes of the keys and ciphertexts in cryptographic applications based on learning with errors are large,
Shisen Fang, Shaojun Yang, Yuexin Zhang
doaj +1 more source
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source
Uncertainty-guided learning with scaled prediction errors in the basal ganglia.
To accurately predict rewards associated with states or actions, the variability of observations has to be taken into account. In particular, when the observations are noisy, the individual rewards should have less influence on tracking of average reward,
Moritz Möller +2 more
doaj +1 more source
Automated Feedback for 'Fill in the Gap' Programming Exercises [PDF]
Timely feedback is a vital component in the learning process. It is especially important for beginner students in Information Technology since many have not yet formed an effective internal model of a computer that they can use to construct viable ...
Bancroft, Peter, Roe, Paul, Truong, Dinh
core +1 more source
Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults
ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas +7 more
wiley +1 more source
Efficient Leveled (Multi) Identity-Based Fully Homomorphic Encryption Schemes
The first identity-based fully homomorphic encryption (IBFHE) scheme was constructed from identity-based encryption (IBE) and lattice-based cryptography by Gentry, Sahai, and Waters in CRYPTO 2013. Their IBFHE scheme is improved in this paper, exploiting
Tongchen Shen +4 more
doaj +1 more source
Frequently Observed Grammatical Errors of Japanese EFL Learners: Their Theoretical Implications [PDF]
This preliminary study investigates what grammatical errors are most frequently observed in Japanese EFL (English as a Foreign Language) learners even after the six years of English learning. By a series of free writing tasks, 2691 English sentences were
YAMADA, Toshiyuki
core

