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pro vyhledávání: '"Machens, Christian K."'
Deep feedforward and recurrent rate-based neural networks have become successful functional models of the brain, but they neglect obvious biological details such as spikes and Dale's law. Here we argue that these details are crucial in order to under
Externí odkaz:
http://arxiv.org/abs/2307.09334
Learning depends on changes in synaptic connections deep inside the brain. In multilayer networks, these changes are triggered by error signals fed back from the output, generally through a stepwise inversion of the feedforward processing steps. The
Externí odkaz:
http://arxiv.org/abs/2007.05112
Autor:
Feierstein, Claudia E., de Goeij, Michelle H.M., Ostrovsky, Aaron D., Laborde, Alexandre, Portugues, Ruben, Orger, Michael B., Machens, Christian K.
Publikováno v:
In Current Biology 25 September 2023 33(18):3911-3925
A key question in neuroscience is at which level functional meaning emerges from biophysical phenomena. In most vertebrate systems, precise functions are assigned at the level of neural populations, while single-neurons are deemed unreliable and redu
Externí odkaz:
http://arxiv.org/abs/1703.03777
Akademický článek
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Autor:
Kobak, Dmitry, Brendel, Wieland, Constantinidis, Christos, Feierstein, Claudia E., Kepecs, Adam, Mainen, Zachary F., Romo, Ranulfo, Qi, Xue-Lian, Uchida, Naoshige, Machens, Christian K.
Publikováno v:
Elife 5, 2016
Neurons in higher cortical areas, such as the prefrontal cortex, are known to be tuned to a variety of sensory and motor variables. The resulting diversity of neural tuning often obscures the represented information. Here we introduce a novel dimensi
Externí odkaz:
http://arxiv.org/abs/1410.6031
Autor:
Wohrer, Adrien, Machens, Christian K.
We study a standard linear readout model of perceptual integration from a population of sensory neurons. We show that the readout can be associated to a set of characteristic equations which summarize the joint trial-to-trial covariance structure of
Externí odkaz:
http://arxiv.org/abs/1303.1939
Autor:
Machens, Christian K.
Publikováno v:
Phys Rev Lett, 88:228104 (2002)
The investigation of input-output systems often requires a sophisticated choice of test inputs to make best use of limited experimental time. Here we present an iterative algorithm that continuously adjusts an ensemble of test inputs online, subject
Externí odkaz:
http://arxiv.org/abs/physics/0112070
Publikováno v:
Science, 2005 Feb . 307(5712), 1121-1124.
Externí odkaz:
https://www.jstor.org/stable/3840168
Bernstein Conference 2022 abstract. http://bernstein-conference.de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3fe7e9edd538296250af532100b316b