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Abbott Laboratories recurrent neural networks
Recurrent Neural Networks, supplied by Abbott Laboratories, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/recurrent+neural+networks/recurrent+neural+networks/bio_rxiv__2025__07__11__663676-13-0-26
Average 90 stars, based on 1 article reviews
recurrent neural networks - by Bioz Stars, 2026-10
90/100 stars

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Article Title: One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks.
Article Snippet: In order to elucidate simple learning tasks, recurrent neural networks were designed (Ben-Yishai, Bar-Or, & Sompolinsky, 1995; Machens, Romo, & Brody, 2005; Miller, Brody, Romo, & Wang, 2003; Singh, 2006) and trained (Barak, Sussillo, Romo, Tsodyks, & Abbott, 2013; Emin Orhan & Ma, 2017; Miconi, 2017; Song, Yang, & Wang, 2016, 2017) to memorize analog values or periodic patterns.

Article Title: Multiplicative couplings facilitate rapid learning and information gating in recurrent neural networks
Article Snippet: Recurrent neural networks (RNNs) have been widely used to model the cerebral cortex with strong or weak recurrent excitatory and inhibitory neurons - (e.g., Sussilo and Abbott, 2009; ; ; ; Zhang et al., 2021; ; ; Lakshminarasimhan et al., 2024).

Article Title: Hybrid model of the context dependent vestibulo-ocular reflex: implications for vergence-version interactions
Article Snippet: Different mechanisms are proposed to explain them, such as recurrent neural networks (Salinas and Abbott, ), changes in the synchrony of inputs to a neuron (Salinas and Sejnowski, ) or varying the level of background synaptic input (Chance et al., ).

Article Title: A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity
Article Snippet: In the field of machine learning, recurrent neural networks have been successfully proposed as candidates for these predictive units (Williams & Zipser, 1989, 1995; Pearlmutter, 1995; Jaeger & Haas, 2004; Sussillo & Abbott, 2009).

Sequencing:

Article Title: Neural mechanism of activity spread in the cat motor cortex and its relation to the intrinsic connectivity
Article Snippet: .. Sequencing, or anticipation, is a property of recurrent neural networks ( Dayan & Abbott, 2001 ). ..

Inhibition:

Article Title: Value-based gain control: divisive normalization in parietal cortex
Article Snippet: .. From a computational perspective, divisive inhibition has been shown to increase the independence of neural responses and allow for efficient encoding of sensory signals ( Schwartz and Simoncelli, 2001 ) and to enhance the stability of recurrent neural networks ( Chance and Abbott, 2000 ), leading to the idea that divisive normalization may be a canonical computation of cortical circuits. ..

Activity Assay:

Article Title: Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations
Article Snippet: .. Recurrent neural networks offer a promising avenue to detect and produce precisely timed sequences of activity (Abbott et al., ). ..



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