Neuroscience

Probabilistic Tensor Decomposition of Neural Population Spiking Activity NeurIPS 2021 Task Programming: Learning Data Efficient Behavior Representations CVPR 2021 A Biologically Plausible Neural Network for Slow Feature Analysis NeurIPS 2020 A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NeurIPS 2020 A simple normative network approximates local non-Hebbian learning in the cortex NeurIPS 2020 Biological credit assignment through dynamic inversion of feedforward networks NeurIPS 2020 Biologically Plausible Sequence Learning with Spiking Neural Networks AAAI 2020 Demixed shared component analysis of neural population data from multiple brain areas NeurIPS 2020 EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks AAAI 2020 GAIT-prop: A biologically plausible learning rule derived from backpropagation of error NeurIPS 2020 HUMBI: A Large Multiview Dataset of Human Body Expressions CVPR 2020 Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks NeurIPS 2020 Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings NeurIPS 2020 Learning efficient task-dependent representations with synaptic plasticity NeurIPS 2020 Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE NeurIPS 2020 Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NeurIPS 2020 Neural Dynamics and Gamma Oscillation on a Hybrid Excitatory-Inhibitory Complex Network (Student Abstract) AAAI 2020 Neuronal Gaussian Process Regression NeurIPS 2020 Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NeurIPS 2020 ODE-Inspired Analysis for the Biological Version of Oja’s Rule in Solving Streaming PCA COLT 2020 Online Neural Connectivity Estimation with Noisy Group Testing NeurIPS 2020 Organizing recurrent network dynamics by task-computation to enable continual learning NeurIPS 2020 Point process models for sequence detection in high-dimensional neural spike trains NeurIPS 2020 Predictive coding in balanced neural networks with noise, chaos and delays NeurIPS 2020 Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NeurIPS 2020