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Neuronal tuning

The risk of bias in denoising methods: Examples from neuroimaging

Kendrick Kay

published 01 Jul 2022

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Tuned in to communication sounds: Neuronal sensitivity in the túngara frog midbrain to frequency modulated signals

Abhilash Ponnath, Michael J. Ryan, Zhide Fang, Hamilton E. Farris

published 19 May 2022

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Generative adversarial networks for generating synthetic features for Wi-Fi signal quality

Mauro Castelli, Luca Manzoni, Tatiane Espindola, Aleš Popovič, Andrea De Lorenzo

published 23 Nov 2021

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Quantum-Inspired Magnetic Hamiltonian Monte Carlo

Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala

published 05 Oct 2021

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Scalable and accurate method for neuronal ensemble detection in spiking neural networks

Rubén Herzog, Arturo Morales, Soraya Mora, Joaquín Araya, María-José Escobar, Adrian G. Palacios, Rodrigo Cofré

published 30 Jul 2021

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Joint representation of color and form in convolutional neural networks: A stimulus-rich network perspective

JohnMark Taylor, Yaoda Xu

published 30 Jun 2021

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Exploring the distribution of statistical feature parameters for natural sound textures

Ambika P. Mishra, Nicol S. Harper, Jan W. H. Schnupp

published 23 Jun 2021

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A bio-inspired bistable recurrent cell allows for long-lasting memory

Nicolas Vecoven, Damien Ernst, Guillaume Drion

published 08 Jun 2021

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Inferring spikes from calcium imaging in dopamine neurons

Weston Fleming, Sean Jewell, Ben Engelhard, Daniela M. Witten, Ilana B. Witten

published 04 Jun 2021

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Inferring the function performed by a recurrent neural network

Matthew Chalk, Gasper Tkacik, Olivier Marre

published 15 Apr 2021

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Machine learning for buildings’ characterization and power-law recovery of urban metrics

Alaa Krayem, Aram Yeretzian, Ghaleb Faour, Sara Najem

published 28 Jan 2021

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Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity

Tuan Anh Pham, Van Quan Tran, Huong-Lan Thi Vu, Hai-Bang Ly

published 17 Dec 2020

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Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison

Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski, Klaus Diepold

published 10 Dec 2020

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