Sentence examples for store pattern from inspiring English sources

Although EmbTreeMiner does not store pattern occurrences, it still has to generate pattern occurrences as intermediate results, the size of which can be substantial at low support levels.

Here we have shown a simple, local learning mechanism for intrinsic plasticity that allows to store pattern information without synaptic plasticity.

By processing patterns as real-valued vectors and classifying similar if then rules into clusters in long-term memory, the proposed system can store pattern-based if then rules of propositional logic, including conjunctions, disjunctions, and negations.

We present a neuromorphic spiking neural network, the DELTRON, that can remember and store patterns by changing the delays of every connection as opposed to modifying the weights.

Such fields are large-scale systems of physical properties that may store patterning information and guide tissue repair and cancer suppression.

We show how variability and adaptivity in ion channel conductances can be utilized to store patterns without an additional contribution by synaptic plasticity (SP).

This paper considers how best to use a fixed amount (m units) of memory for storing pattern databases.

In contrast, HomTreeMiner avoids storing pattern occurrences by storing only bitmaps of occurrence lists which are usually of insignificant size.

where M k = f k N is the number of active neurons in the stored pattern ξ k.

This information is transferred to the hippocampus which converges upon the item closest to a stored pattern and outputs a response.

Using Eq. (1), we can measure the amount of similarity between the input vector and the stored pattern in TMC arrays.