Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Neuronal noise"'
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 279-282 (2023)
One of the difficulties in sorting extracellularly recorded neuronal action potentials, known as spikes, is noise from several sources superimposed on the target spike. For example, the activity of other neurons is often overlaid on the recorded spik
Externí odkaz:
https://doaj.org/article/2a9ff5f4c98142a3a4c943f308428f37
Autor:
Liz Weerdmeester, Nelson Niemeyer, Paul Pfeiffer, Sebastian Billaudelle, Johannes Schemmel, Jan-Hendrik Schleimer, Susanne Schreiber
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 1, p 014009 (2024)
Most efforts on spike-based learning on neuromorphic hardware focus on synaptic plasticity and do not yet exploit the potential of altering the spike-generating dynamics themselves. Biological neurons show distinct mechanisms of spike generation, whi
Externí odkaz:
https://doaj.org/article/d5331d930b9a4d68b95188928c655a67
Publikováno v:
Neural Regeneration Research, Vol 17, Iss 12, Pp 2557-2562 (2022)
Random noise stimulation technique involves applying any form of energy (for instance, light, mechanical, electrical, sound) with unpredictable intensities through time to the brain or sensory receptors to enhance sensory, motor, or cognitive functio
Externí odkaz:
https://doaj.org/article/b26de4f765fc4417b689a62cbb5da6cb
Autor:
Furstenberg Ariel
Publikováno v:
Open Philosophy, Vol 3, Iss 1, Pp 681-693 (2020)
This article proposes to narrow the gap between the space of reasons and the space of causes. By articulating the standard phenomenology of reasons and causes, we investigate the cases in which the clear-cut divide between reasons and causes starts t
Externí odkaz:
https://doaj.org/article/76b2b1ec3bb9424da7b490e4b2636d96
Akademický článek
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Autor:
Nan Du, Xianyue Zhao, Ziang Chen, Bhaskar Choubey, Massimiliano Di Ventra, Ilona Skorupa, Danilo Bürger, Heidemarie Schmidt
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Emerging brain-inspired neuromorphic computing paradigms require devices that can emulate the complete functionality of biological synapses upon different neuronal activities in order to process big data flows in an efficient and cognitive manner whi
Externí odkaz:
https://doaj.org/article/c087d107f6af478cbdcbd488b5f5af0e
Autor:
Podobnik, Boris, Jusup, Marko, Tiganj, Zoran, Wang, Wen-Xu, Buldú, Javier M., Stanley, H. Eugene
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2017 Nov 01. 114(45), 11826-11831.
Externí odkaz:
https://www.jstor.org/stable/26485676
Publikováno v:
Brain Sciences, Vol 11, Iss 2, p 153 (2021)
In neuroscience, the Default Mode Network (DMN), also known as the default network or the default-state network, is a large-scale brain network known to have highly correlated activities that are distinct from other networks in the brain. Many studie
Externí odkaz:
https://doaj.org/article/5fafcdce03db406289e7b4cc54b29b12
Autor:
Nayeli Huidobro, Abraham Mendez-Fernandez, Ignacio Mendez-Balbuena, Ranier Gutierrez, Rumyana Kristeva, Elias Manjarrez
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Stochastic resonance (SR) is an inherent and counter-intuitive mechanism of signal-to-noise ratio (SNR) facilitation in biological systems associated with the application of an intermediate level of noise. As a first step to investigate in detail thi
Externí odkaz:
https://doaj.org/article/9bc4caa0812e44f98fc58edec8994d35
Publikováno v:
Journal of Mathematical Neuroscience, Vol 11, Iss 1, Pp 1-22 (2021)
Journal of Mathematical Neuroscience
Journal of Mathematical Neuroscience
Decoding approaches provide a useful means of estimating the information contained in neuronal circuits. In this work, we analyze the expected classification error of a decoder based on Fisher linear discriminant analysis. We provide expressions that