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But the use of 2D RRAM nvCIMs to create large-scale 3D CNNs has a number of challenges (Fig. 1a,b). Increased number of weights, multibit weight representation and wider metal lines to carry the higher bit-line (BL) readout current (IBL) are needed when conventional parallel word-line...
Genes were analysed through PANTHER Overrepresentation (test type: Fisher; correction: FDR; functional classification: PANTHER GO-Slim Biological Process, Mus musculus - REFLIST (21997)). RT2 array Differential expression of inflammatory response-associated genes between recent and remote memory was ...
The filtering efficiency is the mechanism to inhibit irrelevant items from entering visual working memory, studies have shown that it can be measured through working memory capacity or representation precision. The neural processes underli
Our model simulates how the initial representation of memories can be used to train a generative network, which learns to reconstruct memories by capturing the statistical structure of experienced events (or ‘schemas’). First, the hippocampus rapidly encodes an event; then, generative networks grad...
A schematic representation of such a RAM module is shown in Fig. 7.34. Sign in to download full-size image FIGURE 7.34. Representation of a RAM module showing explicitly the cell array and the decoder. Word size is normally used to classify memory. Microprocessors that use 4-bit words have...
Using these features in the output layer of the SNN, clustering by self-organizing map learning was simulated (Figures 36(d) and (f)), thus mimicking the representation of features in the primate cortex. Moreover, using only lateral inhibition, the network attained high accuracy in an ...
The underlying memory representation can be passed between these layers efficiently. It is for these reasons that they are useful for WebAssembly Memory instances as well.WebAssembly Memory Instances A WebAssembly Memory is an underlying ArrayBuffer (or SharedArrayBuffer, as we will see later) ...
Scale-free architectures such as the ones the brain is suspected of exhibiting are inherently robust and resistant to random disruptions providing functional stability. In human brain, evidence suggests neural network structures, temporal dynamics, and representation of mental states are all “scale-free...
The graph embedding is computed by sum pooling of all node embeddings of a given graph to extract a single feature vector as the representation of the graph, or mathematically\({{{\mathbf{g}}} = \mathop {\sum }\nolimits_j {{{\mathbf{s}}}_j^{\left( T \right)} \in {\Bbb R}...