Showing 1–19 of 19 results
/ Date/ Name
Sep 23, 2008Searching for modified growth patterns with tomographic surveysFeb 10, 2025Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph ColoringSep 10, 2011A sparse coding model with synaptically local plasticity and spiking neurons can account for the diverse shapes of V1 simple cell receptive fieldsAug 22, 2022Different Spectral Representations in Optimized Artificial Neural Networks and BrainsDec 14, 2012Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populationsMay 2, 2024Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural NetworksJun 6, 2023Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation ModelsApr 19, 2011How shoud prey animals respond to uncertain threats?Sep 14, 2012Dead leaves and the dirty ground: low-level image statistics in transmissive and occlusive imaging environmentsAug 19, 2016Robust information propagation through noisy neural circuitsMay 17, 2025Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem FeaturesMay 25, 2019Improved object recognition using neural networks trained to mimic the brain's statistical propertiesMay 11, 2009Cosmological Tests of General Relativity with Future Tomographic SurveysJul 11, 2013The sign rule and beyond: Boundary effects, flexibility, and noise correlations in neural population codesJan 7, 2024How to optimize neuroscience data utilization and experiment design for advancing brain models of visual and linguistic cognition?Sep 6, 2022Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data RegularizerMay 27, 2024Finding Shared Decodable Concepts and their Negations in the BrainDec 1, 2014Impact of triplet correlations on neural population codesJun 19, 2017Using deep learning to reveal the neural code for images in primary visual cortex