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Application of external force on a cavity resonator results in an oscillatory sequence of compression & elongation.
The architecture design and multi-scale learning principles of the human brain that evolved over hundreds of millions of years are crucial to realizing human-like intelligence. Spiking neural network based Liquid State Machine (LSM) serves as a suitable architecture to study brain-inspired intelligence because of its brain-inspired structure and the potential for integrating multiple biological principles. Existing researches on LSM focus on different certain perspectives, including high-dimensional encoding or optimization of the liquid layer, network architecture search, and application to hardware devices. There is still a lack of in-depth inspiration from the learning and structural evolution mechanism of the brain. Considering these limitations, this paper presents a novel LSM learning model that integrates adaptive structural evolution and multi-scale biological learning rules. For structural evolution, an adaptive evolvable LSM model is developed to optimize the neural architecture design of liquid layer with separation property. For brain-inspired learning of LSM, we propose a dopamine-modulated Bienenstock-Cooper-Munros (DA-BCM) method that incorporates global long-term dopamine regulation and local trace-based BCM synaptic plasticity. Comparative experimental results on different decision-making tasks show that introducing structural evolution of the liquid layer, and the DA-BCM regulation of the liquid layer and the readout layer could improve the decision-making ability of LSM and flexibly adapt to rule reversal. This work is committed to exploring how evolution can help to design more appropriate network architectures and how multi-scale neuroplasticity principles coordinated to enable the optimization and learning of LSMs for relatively complex decision-making tasks.
Above: the incorporation of mass (gravitational charge) and quantum gravity (spin-1 gravitons) into the empirical, heuristically developed Standard Model of particle physics. SU(3) colour charge theory for strong interactions and quark triplets (baryons) is totally unaltered. The electroweak U(1) x SU(2) symmetry is radically altered in interpretation but not in mathematical structure! Conventionally U(1) represents…
The University Of Pennsylvania Researchers Introduced An Alternative AI Approach To Design And Program RNN-Based Reservoir Computers
This article explains artificial neural networks and fundamentals of deep learning. Learn about forward and backward propagation.
Abstract page for arXiv paper 1804.09530: Strong Baselines for Neural Semi-supervised Learning under Domain Shift
Transformer - more than meets the eye! Are we there yet? Well... not really, but... How about eliminating recurrence and convolution from transduction? Sequence modeling and transduction (e.g. language modeling, machine translation) problems solutions has been dominated by RNN (especially gated RNN) or LSTM, additionally employing the attention mechanism. Main sequence transduction models are based on RNN or CNN including encoder and decoder. The new transformer architecture is claimed however, to be more parallelizable and requiring significantly less time to train, solely focusing on attention mechanisms.
Use LEGO® bricks to teach math concepts! Here are three clever math activities that are perfect for first grade. I’ll describe the activities, and then you can find a link at the bottom of the post to download and print the pages. (Also, I know I’ve done lots of first grade stuff lately, and I’m […]
If you came here because you were simply curious, but you’re not that great at math, do not worry! Because, unlike the advanced stuff, this quiz covers easy math operations as well. Apart from the math operations, this quiz certainly requires your utmost attention. The reason is that there are different colored numbers and shapes that you have to count so that you can begin doing the actual math.
The cosine rule. It is very simple because once you memorize one, you memorize them all.
Anyone else feel like a first-year teacher EVERY year?? I am beginning my tenth year of teaching tomorrow, and I promise you I do not understand why it is taking me every waking minute to get my stuff together! Aaaanyways, here are some fan labels I created to mark my math station areas that were …
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Here's an update on this year:1) I am still in 1st grade, but with an entirely new team. It has been a little weird and overwhelming at times, but it's getting better. Two of my teammates in particular are so fun, sharing, and just great! 2) Our grade did not have enough students to fulfill…
whoever put him in that green shirt, thank you for your service
Here are some fun Summer items just waiting for you to take them home! ha! ha! This bird has been such a huge hit, that I thought I'd keep i...
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Recreational Mathematics, Math competitions, Puzzles, Brainteasers, Combinatorics, Logic, Διαγωνίσματα,Γρίφοι,Μαθηματικά
Once again, there are some amazing Math Dollar Deals today on TpT! All you have to do is search #mathdollardeals in the Teachers Pay Teacher...
