The correct answer is:
Collect
The Core Learning System, consists in four strategies to increase your confidence for having tests. CORE= Collect O=Organize R=Rehearse E=Evaluate. To succeed as a learner it is needed the student to create as any neural network in his brain as possible, by connecting new learning to previously learned information, employing deep processing strategies and using distributed practices
, this way your chances of acing an exam will increase exponentially.
Answer:
Imprinting is easily accomplished if the necessary experiences occur:
b. in sensitive periods that differ across species.
Explanation:
Imprinting happens when an animal (or a human being) learns and recognizes the characteristics of a stimulus. The most common example is filial imprinting observed in goslings. They will imprint in any animal, human, or even inanimate object placed before them during a critical sensitive period. They soon begin to follow that animal, human, or object around, as if it were their mother. In the case of goslings, that can happen until up to 16 hours after birth. However, that period changes across species.
The Yamada model serves as the foundation for the computing model of the photonic SNN. We also provide an unique metric, the so-called spike sequence distance, to quantify the impact of controllable factors on the learning process. The numerical findings demonstrate that, using an iteration technique to continually update synaptic weights, the photonic SNN successfully replicates a desired output spike sequence in response to a spatiotemporal input spike pattern. These findings advance the co-design and optimization of the energy-efficient photonic SNN based entirely on VCSELs by one step.
<h3>
What is Spiking Neural Network?</h3>
Spiking neural networks, a third generation of neural networks, use physiologically accurate models of neurons to perform computation in an effort to close the gap between neuroscience and machine learning. The machine learning community is familiar with neural networks, but spiking neural networks (SNN) are fundamentally different. Instead than utilising continuous data, SNNs function on spikes, which are discrete events that happen at certain times in time. Differential equations that reflect multiple biological processes, the most significant of which is the membrane potential of the neuron, are used to predict when a spike will occur. In essence, when a neuron reaches a specific potential, it spikes, resetting the neuron's potential.
learn more about Spiking Neural Network refer:
brainly.com/question/28191615
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Answer:
a southern state could be readmitted into the Union once 10 percent of its voters (from the voter rolls for the election of 1860) swore an oath of allegiance to the Union.
Explanation:
IDK what i been told but eschmo noses are mighty cold
