Propagating Synchrony in Feed-Forward Networks [PDF]
Coordinated patterns of precisely timed action potentials (spikes) emerge in a variety of neural circuits but their dynamical originis still not well understood.
Sven eJahnke +6 more
doaj +8 more sources
Patterns of synchrony for feed-forward and auto-regulation feed-forward neural networks [PDF]
We consider feed-forward and auto-regulation feed-forward neural (weighted) coupled cell networks. In feed-forward neural networks, cells are arranged in layers such that the cells of the first layer have empty input set and cells of each other layer receive only inputs from cells of the previous layer.
Manuela A. D. Aguiar +2 more
openaire +5 more sources
Improving the student learning experience through dialogic feed-forward assessment [PDF]
Assessment feedback gains consistently low satisfaction scores in national surveys of student satisfaction, with most concern surrounding its timeliness, quality and effectiveness.
Hill, Jennifer, West, Harry
core +7 more sources
A feed forward neural network approach for matrix computations [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A new neural network approach for performing matrix computations is presented. The idea of this approach is to construct a feed-forward neural network (FNN)
Al-Mudhaf, Ali F
core +8 more sources
On time-delayed and feed-forward transmission line models of the cochlea [PDF]
The mammalian cochlea is a remarkable organ that is able to provide up to 60dB amplification of low amplitude sound with sharp tuning. It has been proposed that in order qualitatively to explain experimental data, models of the basilar membrane impedance
Homer, ME +8 more
core +1 more source
Noise characteristics of feed forward loops [PDF]
A prominent feature of gene transcription regulatory networks is the presence in large numbers of motifs, i.e, patterns of interconnection, in the networks. One such motif is the feed forward loop (FFL) consisting of three genes X, Y and Z. The protein product of x of X controls the synthesis of protein product y of Y. Proteins x and y jointly regulate
Ghosh, Bhaswar +2 more
openaire +3 more sources
Feed-forward mortality rate model.
a) Time-dependent C-index stratified vs age (points) and for all ages (line). Results are shown for the feed-mortality mortality rate model (purple), the DJIN network model with a recurrent neural network mortality rate shown in the main results (red ...
Arnold Mitnitski (245051) +3 more
core +1 more source
Making connections: technological interventions to support students in using, and tutors in creating, assessment feedback [PDF]
This paper explores the potential of technology to enhance the assessment and feedback process for both staff and students. The ‘Making Connections’ project aimed to better understand the connections that students make between the feedback that they ...
Ian Glover +4 more
doaj +1 more source
Analysis and Forecasting Drought Days Using Artificial Neural Networks Model (Case Study: Station Tehran) [PDF]
Artificial neural networks as a nonlinear techniques in climate and hydrology studies are important to have. Climate change and the global warming of the climate phenomenon known as persistence of drought followed Number of dry days.
Hossein asakereh, Farieba Sayadi
doaj +1 more source
Interferometer Sensing and Control for the Advanced Virgo Experiment in the O3 Scientific Run
Advanced Virgo is a 2nd-generation laser interferometer based in Cascina (Italy) aimed at the detection of gravitational waves (GW) from astrophysical sources.
Annalisa Allocca +11 more
doaj +1 more source

