26th Annual Joint Symposium on Neural Computation
In 1994, INC held the first Joint Symposium on Neural Computation with the California Institute of Technology. This Symposium brought together students and faculty for a day of short presentations. Since then, this Symposium has rotated between San Diego, Caltech, UCI, UCLA and USC. The Symposium now provides members with the latest research efforts over the past year. This all day event is open to the INC members and the Industrial Affiliate Program members.
Gert Cauwenberghs, UCSD: "Memory-efficient neuromorphic learning and inference"
Mike Davies, Intel: "Realizing the promise of spiking neuromorphic hardware"
Bruce Herring, USC: "Guanine nucleotide exchange factors in synaptic function and brain disorders"
Judith Hirsch, USC: "Neural circuits for visual processing in thalamus"
Markus Meister, Caltech: “Some dimensionless numbers in brain science”
Emre Neftci, UC Irvine: "Surrogate gradient learning and three factor rules"
Bruno Olshausen, UC Berkeley: "Sparsity, manifold flattening and persistence as organizing principles of visual representation"
Terry Sejnowski, Salk Institute: "The deep learning revolution" (Keynote)
Alcino Silva, UCLA: "Molecular, cellular and circuit mechanisms that neuronal ensembles use to cluster memories across time and space"
Fritz Sommer, UC Berkeley/Intel: "Robust computation with rhythms and spike times"