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https://deepai.org/publication/neural-population-geometry-reveals-the-role-of-stochasticity-in-robust-perception Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception | DeepAI Nov 12, 2021 - 11/12/21 - Adversarial examples are often cited by neuroscientists and machine learning researchers as an example of how computational models... the role ofneural population https://pmc.ncbi.nlm.nih.gov/articles/PMC7402639/ Computation Through Neural Population Dynamics - PMC Significant experimental, computational, and theoretical work has identified rich structure within the coordinated activity of interconnected neural... neural populationcomputationdynamicspmc https://elifesciences.org/articles/10015v1 Internal models for interpreting neural population activity during sensorimotor control | eLife internal modelsneural populationinterpreting https://pmc.ncbi.nlm.nih.gov/articles/PMC8559600/ Correlations enhance the behavioral readout of neural population activity in association cortex -... Noise correlations (i.e. trial-to-trial covariations in neural activity for a given stimulus) limit the stimulus information encoded by neural populations,... https://elifesciences.org/articles/88777 Structural constraints on the emergence of oscillations in multi-population neural networks | eLife An odd number of inhibitory links in a network are necessary and sufficient to make a network of neuron populations oscillate. https://openreview.net/forum?id=pzOD3lKv9Yw&referrer=%5Bthe%20profile%20of%20Alex%20Tong%20Lin%5D(%2Fprofile%3Fid%3D~Alex_Tong_Lin1) APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve... We present APAC-Net, an alternating population and agent control neural network for solving stochastic mean field games (MFGs). Our algorithm is geared toward... https://www.semanticscholar.org/topic/Neural-tube-defect/5601152 Neural tube defect risk:Likelihood:Pt:^Population:Qn | Semantic Scholar neural tube defectrisklikelihoodptpopulation https://openreview.net/forum?id=Xma2G1ak3H POCO: Scalable Neural Forecasting through Population Conditioning | OpenReview Predicting future neural activity is a core challenge in modeling brain dynamics, with applications ranging from scientific investigation to closed-loop... pocoscalableneuralforecastingpopulation