Results 1 to 10 of about 391,417 (288)

Large-scale multielectrode recording and stimulation of neural activity [PDF]

, 2007
Large circuits of neurons are employed by the brain to encode and process information. How this encoding and processing is carried out is one of the central questions in neuroscience.
Chichilnisky, E. J., Dabrowski, W., Grillo, A. A., Grivich, M., Gunning, D., Hottowy, P., Kachiguine, S., Litke, A. M., Mathieson, K., Petrusca, D., Sher, A.   +10 more
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Neuro-Fuzzy Computing System with the Capacity of Implementation on Memristor-Crossbar and Optimization-Free Hardware Training [PDF]

, 2012
In this paper, first we present a new explanation for the relation between logical circuits and artificial neural networks, logical circuits and fuzzy logic, and artificial neural networks and fuzzy inference systems.
Merrikh-Bayat, Farnood, Merrikh-Bayat, Farshad, Shouraki, Saeed Bagheri   +2 more
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Chaotic macroscopic phases in one-dimensional oscillators [PDF]

, 2017
APo and EU wish to acknowledge the Advanced Study Group activity at the Max Planck Institute for the Physics of Complex Systems in Dresden “From Microscopic to Collective Dynamics in Neural Circuits” for the opportunity to develop part of the project ...
Pikovsky, Arkady, Politi, Antonio, Ullner, Ekkehard   +2 more
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Optogenetics and deep brain stimulation neurotechnologies [PDF]

, 2015
Brain neural network is composed of densely packed, intricately wired neurons whose activity patterns ultimately give rise to every behavior, thought, or emotion that we experience. Over the past decade, a novel neurotechnique, optogenetics that combines
A Berndt, A Berndt, A Priori, AA Kuhn, AA Kuhn, AS Chuong, B Sauer, B Wingeier, BY Chow, BY Chow, C Bamann, D Luo, D Oesterhelt, D Oesterhelt, D Williams, ES Boyden, EY Uc, F Zhang, F Zhang, G Foffani, G Miesenbock, G Nagel, J Cavanaugh, J Mobley, J Volkmann, J Wells, J Wietek, JG Bernstein, JG Bernstein, JG Bernstein, JL Spudich, JL Spudich, JO Dostrovsky, JZ Tsien, L Bekar, L Madisen, LA Gunaydin, M Weinberger, M Weinberger, MC Rodriguez-Oroz, MJ Lehmkuhle, ML Welter, MM Doroudchi, O Yizhar, P Brown, P Silberstein, R Levy, R Levy, R Levy, R Waehler, S Zhao, TW Chen, VC Anderson, X Han, X Han, X Han, X Han, X Han, X Liu   +58 more
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Speaker Normalization Using Cortical Strip Maps: A Neural Model for Steady State Vowel Identification [PDF]

, 2007
Auditory signals of speech are speaker-dependent, but representations of language meaning are speaker-independent. Such a transformation enables speech to be understood from different speakers.
Ames, Heather, Grossberg, Stephen
core   +2 more sources

CMOS current-mode chaotic neurons [PDF]

, 1994
This paper presents two nonlinear CMOS current-mode circuits that implement neuron soma equations for chaotic neural networks, and another circuit to realize programmable current-mode synapse using CMOS-compatible BJT's.
Delgado Restituto, Manuel, Rodríguez Vázquez, Ángel Benito   +1 more
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Deciphering the brain's codes [PDF]

, 1991
The two sensory systems discussed use similar algorithms for the synthesis of the neuronal selectivity for the stimulus that releases a particular behavior, although the neural circuits, the brain sites involved, and even the species are different.
Konishi, Masakazu
core   +1 more source

Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience. [PDF]

, 2019
Identifying low-dimensional features that describe large-scale neural recordings is a major challenge in neuroscience. Repeated temporal patterns (sequences) are thought to be a salient feature of neural dynamics, but are not succinctly captured by ...
Bahle, Andrew H, Denisenko, Natalia I, Fee, Michale S, Goldman, Mark S, Gu, Shijie, Mackevicius, Emily L, Williams, Alex H   +6 more
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Learning Logistic Circuits

, 2019
This paper proposes a new classification model called logistic circuits. On MNIST and Fashion datasets, our learning algorithm outperforms neural networks that have an order of magnitude more parameters.
Broeck, Guy Van den, Liang, Yitao
core   +1 more source

Stable chaos in fluctuation driven neural circuits

, 2014
We study the dynamical stability of pulse coupled networks of leaky integrate-and-fire neurons against infinitesimal and finite perturbations. In particular, we compare current versus fluctuations driven networks, the former (latter) is realized by ...
Angulo-Garcia, David, Torcini, Alessandro   +1 more
core   +1 more source