This repository is about the classification of local field potentials data across different laminar layers and spectral frequency bands for different task engagement conditions during a change detection task.
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This repository is about the analysis of behavioral and neural data about perceived wealth and difficulty in decision-making.
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Data and code for: Ferro, D., Cash-Padgett, T., Wang, M.Z. et al. Gaze-centered gating, reactivation, and reevaluation of economic value in orbitofrontal cortex. Nature Communications 15, 6163 (2024). Data contains eye gaze and spiking data during risky decision-making tasks. Code runs characterization of psychometric, gaze behavioral and neural encoding of economic value gaze-centered analyses of neural encoding at task-relevant epochs, including task delays for value reactivation and reevaluation. DOI
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Data and code for: Ferro, D., van Kempen, J., Boyd, M., Panzeri, S. and Thiele, A., 2021. Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention. Proceedings of the National Academy of Sciences, 118(12), p.e2022097118. Data contain laminar local field potentials in V1 and V4. Code runs spectral power, coherence and Conditional Granger Causality (cGC) based on Mutual Information for interactions between and within V1-V4 laminar depths. DOI
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The code computes Currsent Source Densities via the iCSD Cubic Splines method published in (Pettersen et al., J Neurosci Methods, 2006) developed for (Ferro, van Kempen, Boyd, Panzeri, Thiele, PNAS 2021). Ferro, D., van Kempen, J., Boyd, M., Panzeri, S. and Thiele, A., 2021. Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention. Proceedings of the National Academy of Sciences, 118(12), p.e2022097118.
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The function computes the Latency of MUAes by fitting 5 cumulative Gaussian distribution parameters (mu, sigma, alpha, c, d) following (Roelfsema, Tolboom, Khayat, Neuron 2007), developed for (Ferro, van Kempen, Boyd, Panzeri, Thiele, PNAS 2021). Ferro, D., van Kempen, J., Boyd, M., Panzeri, S. and Thiele, A., 2021. Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention. Proceedings of the National Academy of Sciences, 118(12), p.e2022097118.
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The code allows to retrieve the analytical distribution and to fit data to folded normal distribution, including the distribution of sum and difference of pairs of random variables, developed for (Ferro, van Kempen, Boyd, Panzeri, Thiele, PNAS 2021). Ferro, D., van Kempen, J., Boyd, M., Panzeri, S. and Thiele, A., 2021. Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention. Proceedings of the National Academy of Sciences, 118(12), p.e2022097118
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Code for: Ferro, D., Gripon, V. and Jiang, X., 2016, July. Nearest neighbour search using binary neural networks. In 2016 International Joint Conference on Neural Networks (IJCNN) (pp. 5106-5112). IEEE. The code finds nearest neighbours in terms of Euclidean distance, and uses it for classification. The search is optimized by combining Product Quantization (PQ) and binary neural associative memories (Willshaw Neural Networks). DOI
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