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Page 1
Extreme neural machines.
Boucher-Routhier M, Zhang BLF, Thivierge JP. Boucher-Routhier M, et al. Neural Netw. 2021 Dec;144:639-647. doi: 10.1016/j.neunet.2021.09.021. Epub 2021 Oct 1. Neural Netw. 2021. PMID: 34656050
Recurrent neural networks can solve a variety of computational tasks and produce patterns of activity that capture key properties of brain circuits. However, learning rules designed to train these models are time-consuming and prone to inaccuracies when tuning connection w …
Recurrent neural networks can solve a variety of computational tasks and produce patterns of activity that capture key properties of brain …
Goal-Directed Decision Making with Spiking Neurons.
Friedrich J, Lengyel M. Friedrich J, et al. J Neurosci. 2016 Feb 3;36(5):1529-46. doi: 10.1523/JNEUROSCI.2854-15.2016. J Neurosci. 2016. PMID: 26843636 Free PMC article.
The formation of habits, which requires simple updating of cached values, has been studied in great detail, and the reward prediction error theory of dopamine function has enjoyed prominent success in accounting for its neural bases. In contrast, the neural circuit mechani …
The formation of habits, which requires simple updating of cached values, has been studied in great detail, and the reward prediction error …
Microfluidic chain reaction of structurally programmed capillary flow events.
Yafia M, Ymbern O, Olanrewaju AO, Parandakh A, Sohrabi Kashani A, Renault J, Jin Z, Kim G, Ng A, Juncker D. Yafia M, et al. Nature. 2022 May;605(7910):464-469. doi: 10.1038/s41586-022-04683-4. Epub 2022 May 18. Nature. 2022. PMID: 35585345
On the other hand, the microfluidic lab-on-a-chip (also called a micro-total analysis system)(6,7) was visualized as an integrated chip, akin to microelectronic integrated circuits, yet in practice remains dependent on cumbersome peripherals, connections and a computer for …
On the other hand, the microfluidic lab-on-a-chip (also called a micro-total analysis system)(6,7) was visualized as an integrated chip, aki …
How Sequential Interactive Processing Within Frontostriatal Loops Supports a Continuum of Habitual to Controlled Processing.
O'Reilly RC, Nair A, Russin JL, Herd SA. O'Reilly RC, et al. Front Psychol. 2020 Mar 10;11:380. doi: 10.3389/fpsyg.2020.00380. eCollection 2020. Front Psychol. 2020. PMID: 32210892 Free PMC article.
The model exhibits a continuum of behavior between these poles, as a function of the interactive dynamics among different functionally-specialized brain areas, operating iteratively over multiple sequential steps, and having multiple nested loops of similar decision …
The model exhibits a continuum of behavior between these poles, as a function of the interactive dynamics among different functionally-speci …
A seamless and iterative DNA assembly method named PS-Brick and its assisted metabolic engineering for threonine and 1-propanol production.
Liu S, Xiao H, Zhang F, Lu Z, Zhang Y, Deng A, Li Z, Yang C, Wen T. Liu S, et al. Biotechnol Biofuels. 2019 Jul 15;12:180. doi: 10.1186/s13068-019-1520-x. eCollection 2019. Biotechnol Biofuels. 2019. PMID: 31338122 Free PMC article.
DNA assembly scenarios encountered in metabolic engineering for the construction of amino acid and related compound producers, such as design-build-test-learn cycles, construction of precise genetic circuits and repetitive DNA molecules, usually require for iterative …
DNA assembly scenarios encountered in metabolic engineering for the construction of amino acid and related compound producers, such as desig …
A computational method for the investigation of multistable systems and its application to genetic switches.
Leon M, Woods ML, Fedorec AJ, Barnes CP. Leon M, et al. BMC Syst Biol. 2016 Dec 7;10(1):130. doi: 10.1186/s12918-016-0375-z. BMC Syst Biol. 2016. PMID: 27927198 Free PMC article.
Synthetic genetic switches can be used for recording the presence of different environmental signals, for changing phenotype using synthetic inputs and as building blocks for higher-level sequential logic circuits. Understanding how multistable switches can be const …
Synthetic genetic switches can be used for recording the presence of different environmental signals, for changing phenotype using synthetic …
Rapid online learning and robust recall in a neuromorphic olfactory circuit.
Imam N, Cleland TA. Imam N, et al. Nat Mach Intell. 2020 Mar;2(3):181-191. doi: 10.1038/s42256-020-0159-4. Epub 2020 Mar 16. Nat Mach Intell. 2020. PMID: 38650843 Free PMC article.
As with biological olfaction, the spike timing-based algorithm utilizes distributed, event-driven computations and rapid (one-shot) online learning. Spike timing-dependent plasticity rules operate iteratively over sequential gamma-frequency packets to construct odou …
As with biological olfaction, the spike timing-based algorithm utilizes distributed, event-driven computations and rapid (one-shot) online l …
A minimum resource neural network framework for solving multiconstraint shortest path problems.
Zhang J, Zhao X, He X. Zhang J, et al. IEEE Trans Neural Netw Learn Syst. 2014 Aug;25(8):1566-82. doi: 10.1109/TNNLS.2013.2293775. IEEE Trans Neural Netw Learn Syst. 2014. PMID: 25050952
The network facilitates very large scale integrated circuit implementation and adapt to very large scale problems due to its massively parallel processing and minimum resource utilization. When implemented in a sequentially processing computer, experiments on synthe …
The network facilitates very large scale integrated circuit implementation and adapt to very large scale problems due to its massivel …
A neural network with encoded visible edge prior for limited-angle computed tomography reconstruction.
Ma G, Zhang Y, Zhao X, Wang T, Li H. Ma G, et al. Med Phys. 2021 Oct;48(10):6464-6481. doi: 10.1002/mp.15205. Epub 2021 Sep 18. Med Phys. 2021. PMID: 34482570
AEDSNN consists of several blocks, and each block corresponds to one iteration of the AEDS algorithm. In each iteration of the AEDS algorithm, three subproblems are sequentially solved. ...Conventional reconstruction methods usually need hundreds even thousan …
AEDSNN consists of several blocks, and each block corresponds to one iteration of the AEDS algorithm. In each iteration of the …
On-line motor control in patients with Parkinson's disease.
Desmurget M, Gaveau V, Vindras P, Turner RS, Broussolle E, Thobois S. Desmurget M, et al. Brain. 2004 Aug;127(Pt 8):1755-73. doi: 10.1093/brain/awh206. Epub 2004 Jun 23. Brain. 2004. PMID: 15215215
These circuits may rather contribute to the generation of discrete corrective sub-movements. This deficit is in line with the general impairment of sequential and simultaneous actions in patients with basal ganglia disorders....
These circuits may rather contribute to the generation of discrete corrective sub-movements. This deficit is in line with the general …
13 results