Predictive learning as a network mechanism for extracting low-dimensional latent space representations von Recanatesi, Stefano, Farrell, Matthew, Lajoie, Guillaume, Deneve, Sophie, Rigotti, Mattia, Shea-Brown, Eric

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Hippocampal–prefrontal input supports spatial encoding in working memory von Spellman, Timothy, Rigotti, Mattia, Ahmari, Susanne E., Fusi, Stefano, Gogos, Joseph A., Gordon, Joshua A.

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Shared neural coding for social hierarchy and reward value in primate amygdala von Munuera, Jérôme, Rigotti, Mattia, Salzman, C. Daniel

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The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off von Barak, Omri, Rigotti, Mattia, Fusi, Stefano

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The importance of mixed selectivity in complex cognitive tasks von Rigotti, Mattia, Barak, Omri, Warden, Melissa R., Wang, Xiao-Jing, Daw, Nathaniel D., Miller, Earl K., Fusi, Stefano

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Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge von Dognin, Pierre, Melnyk, Igor, Mroueh, Youssef, Padhi, Inkit, Rigotti, Mattia, Ross, Jarret, Schiff, Yair, Young, Richard A., Belgodere, Brian

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RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays von Rasch, Malte J, Gokmen, Tayfun, Rigotti, Mattia, Haensch, Wilfried

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Why neurons mix: high dimensionality for higher cognition von Fusi, Stefano, Miller, Earl K, Rigotti, Mattia

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Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses von Rigotti, Mattia, Ben Dayan Rubin, Daniel, Wang, Xiao-Jing, Fusi, Stefano

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The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex von Bernardi, Silvia, Benna, Marcus K., Rigotti, Mattia, Munuera, Jérôme, Fusi, Stefano, Salzman, C. Daniel

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Energy-Efficient Neuromorphic Classifiers von Martí, Daniel, Rigotti, Mattia, Seok, Mingoo, Fusi, Stefano

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Mixed selectivity: Cellular computations for complexity von Tye, Kay M., Miller, Earl K., Taschbach, Felix H., Benna, Marcus K., Rigotti, Mattia, Fusi, Stefano

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Power-law autocorrelation of neural activity in models of mental states that are hierarchically organized von Chersi, Fabian, Rigotti, Mattia, Fusi, Stefano

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The implications of categorical and category-free mixed selectivity on representational geometries von Kaufman, Matthew T., Benna, Marcus K., Rigotti, Mattia, Stefanini, Fabio, Fusi, Stefano, Churchland, Anne K.

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A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition von Barak, Omri, Rigotti, Mattia

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Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex von Lindsay, Grace W, Rigotti, Mattia, Warden, Melissa R, Miller, Earl K, Fusi, Stefano

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672. Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus von Bernardi, Silvia, Munuera, Jerome, Rigotti, Mattia, Fusi, Stefano, Salzman, Daniel

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Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus von Bernardi, Silvia, Munuera, Jerome, Rigotti, Mattia, Fusi, Stefano, Salzman, Daniel

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Importance of Digitalization and Standardization for Bridge and Tunnel Monitoring and Predictive Maintenance von Weise, Matthias, Böhms, Michel, Allaix, Diego, Sánchez‐Rodríguez, Ana, Rigotti, Mattia

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Towards Workflows for the Use of AI Foundation Models in Visual Inspection Applications von Rigotti, Mattia, Antognini, Diego, Assaf, Roy, Bakirci, Kagan, Frick, Thomas, Giurgiu, Ioana, Janoušková, Klára, Janicki, Filip, Jubran, Husam, Malossi, Cristiano, Meterez, Alexandru, Scheidegger, Florian

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