Taming the chaos gently: a predictive alignment learning rule in recurrent neural networks by Toshitake Asabuki, Claudia Clopath

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Embedding stochastic dynamics of the environment in spontaneous activity by prediction-based plasticity by Toshitake Asabuki, Claudia Clopath

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Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons. by Amadeus Maes, Mauricio Barahona, Claudia Clopath

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Uncertainty estimation with prediction-error circuits by Loreen Hertäg, Katharina A. Wilmes, Claudia Clopath

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Detection of axonal synapses in 3D two-photon images. by Cher Bass, Pyry Helkkula, Vincenzo De Paola, Claudia Clopath, Anil Anthony Bharath

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A neural implementation model of feedback-based motor learning by Barbara Feulner, Matthew G. Perich, Lee E. Miller, Claudia Clopath, Juan A. Gallego

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Catalyzing next-generation Artificial Intelligence through NeuroAI by Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky, Yoshua Bengio, Kwabena Boahen, Matthew Botvinick, Dmitri Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad Körding, Alexei Koulakov, Yann LeCun, Timothy Lillicrap, Adam Marblestone, Bruno Olshausen, Alexandre Pouget, Cristina Savin, Terrence Sejnowski, Eero Simoncelli, Sara Solla, David Sussillo, Andreas S. Tolias, Doris Tsao

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