Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

no code implementations • 15 Oct 2022 • 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 Koerding, 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

Neuroscience has long been an essential driver of progress in artificial intelligence (AI).

Inferring spike-timing-dependent plasticity from spike train data

no code implementations • NeurIPS 2011 • Ian Stevenson, Konrad Koerding

This approach allows model-based estimation of STDP modification functions from pairs of spike trains.

Mixture of time-warped trajectory models for movement decoding

no code implementations • NeurIPS 2010 • Elaine Corbett, Eric Perreault, Konrad Koerding

We thus use a generative model with a trajectory model incorporating these insights.

Structural inference affects depth perception in the context of potential occlusion

no code implementations • NeurIPS 2009 • Ian Stevenson, Konrad Koerding

We present an ideal observer model of depth estimation for this situation where structural or ordinal information is important and then fit the model to human data from a stereo-matching task.

Depth Estimation Stereo Matching +1