181
Publications
Normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity
D. Lipshutz, Y. Bahroun, S. Golkar, A. Sengupta, D. Chklovskii
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training
Y. Bahroun, Shagesh Sridharan, Atithi Acharya, D. Chklovskii, A. Sengupta
Catalyzing next-generation Artificial Intelligence through NeuroAI
Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky, Yoshua Bengio, Kwabena Boahen, Matthew Botvinick, D. 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, E. P. Simoncelli, Sara Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
Catalyzing next-generation [Artificial Intelligence} through {NeuroAI}
A Zador, S Escola, B Richards, B Ölveczky, Y Bengio, K Baohen, M Botvinick, D. Chklovskii, A Churchland, C Clopath, J DiCarlo, S Ganguli, J Hawkins, K Körding, A Koulakov, Y LeCun, T Lillicrap, A Marblestone, B Olshausen, A Pouget, Cristina Savin, T Sejnowski, E. P. Simoncelli, S Solla, D Sussillo, AS Tolias, D Tsao
Maximum a posteriori natural scenes reconstruction from retinal ganglion cells with deep denoiser priors
Eric G. Wu, Nora Brackbill, Alexander Sher & Alan M. Litke, E. P. Simoncelli, E.J. Chichilnisky
Maximum a posteriori natural scenes reconstruction from retinal ganglion cells with deep denoiser priors
Fine-tuning hierarchical circuits through learned stochastic co-modulation
Caroline Haimerl, E. P. Simoncelli, Cristina Savin
Fine-tuning hierarchical circuits through learned stochastic co-modulation
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