Sentence examples for store patterns from inspiring English sources

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.

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

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.

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

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.

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

A strategy for minimizing pattern recovery degradation when the number of stored patterns increases is developed.

The kernel images, however, are difficult to design for a large number of stored patterns.

The HNN is known to be able to recognize input patterns from a set of stored patterns [15, 21].

The stored patterns are associated with their retrieval probes internally in a robust and fault tolerant way.

The resulting motor memory is flexible in that it is capable to continuously modulate the stored patterns.