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Neuroscience

346 papers

Papers per year

25
4
26
12
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Papers

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons NIPS 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator NIPS 2021
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NIPS 2021
Biological learning in key-value memory networks NIPS 2021
Learning Disentangled Behavior Embeddings NIPS 2021
A mechanistic multi-area recurrent network model of decision-making NIPS 2021
Bias and variance of the Bayesian-mean decoder NIPS 2021
Charting and Navigating the Space of Solutions for Recurrent Neural Networks NIPS 2021
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity NIPS 2021
Learning Interpretable Models for Coupled Networks Under Domain Constraints AAAI 2021
Task Programming: Learning Data Efficient Behavior Representations CVPR 2021
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras CVPR 2021
A surprisal–duration trade-off across and within the world’s languages EMNLP 2021
Investigating non lexical markers of the language of schizophrenia in spontaneous conversations EMNLP 2021
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NIPS 2020
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NIPS 2020
Demixed shared component analysis of neural population data from multiple brain areas NIPS 2020
Neuronal Gaussian Process Regression NIPS 2020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE NIPS 2020
A simple normative network approximates local non-Hebbian learning in the cortex NIPS 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks NIPS 2020
Online Neural Connectivity Estimation with Noisy Group Testing NIPS 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NIPS 2020
Biological credit assignment through dynamic inversion of feedforward networks NIPS 2020
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error NIPS 2020