Andreas S. Tolias

1. Three scenarios for continual learning
   2019/04/15 by Gido M. van de Ven, van de Ven, Gido M., Andreas S. Tolias +1 · 69 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
2. Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
   2022/10/15 by Anthony M. Zador, Anthony Zador, Sean Escola +64 · 2 voices · 22 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computability, Logic, AI Algorithms #Reinforcement Learning in Robotics #cs.AI #q-bio.NC
3. Generative replay with feedback connections as a general strategy for continual learning
   2018/09/27 by Gido M. van de Ven, van de Ven, Gido M., Andreas S. Tolias +1 · 22 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
4. NeuroAI for AI Safety
   2024/11/27 by Patrick Mineault, Mineault, Patrick, Niccolò Zanichelli +31 · 8 voices · 5 citations
   Engineering · #Fault Detection and Control Systems
5. The Sensorium competition on predicting large-scale mouse primary visual cortex activity
   2022/06/17 by Konstantin F. Willeke, Willeke, Konstantin F., Paul G. Fahey +27 · 5 citations
   Neuroscience · #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function #Neurobiology and Insect Physiology Research #Neurons and Cognition (q-bio.NC) #Neuroscience and Neuropharmacology Research
6. Learning From Brains How to Regularize Machines
   2019/11/11 by Zhe Li, Li, Zhe, Wieland Brendel +17 · 1 voice · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Neurons and Cognition (q-bio.NC) #cs.AI #cs.CV #cs.LG #q-bio.NC
7. Towards robust vision by multi-task learning on monkey visual cortex
   2021/07/29 by Shahd Safarani, Arne Nix, Safarani, Shahd +13 · 3 citations
   Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face Recognition and Perception #Machine Learning (cs.LG) #Visual Attention and Saliency Detection #Visual perception and processing mechanisms
8. The Dynamic Sensorium competition for predicting large-scale mouse visual cortex activity from videos
   2023/05/31 by Polina Turishcheva, Turishcheva, Polina, Paul G. Fahey +23 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Neuroscience · #Cell Image Analysis Techniques #FOS: Biological sciences #Neural dynamics and brain function #Neuroinflammation and Neurodegeneration Mechanisms #Neurons and Cognition (q-bio.NC)
9. A community-based transcriptomics classification and nomenclature of\n neocortical cell types
   2019/09/06 by Rafael Yuste, Michael Hawrylycz, Yuste, Rafael +139 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Neuroscience · #Cell Image Analysis Techniques #FOS: Biological sciences #Genomics (q-bio.GN) #Neuroinflammation and Neurodegeneration Mechanisms #Neurons and Cognition (q-bio.NC) #Single-cell and spatial transcriptomics
10. Factorized Neural Processes for Neural Processes: K-Shot Prediction of\n Neural Responses
    2020/10/22 by R. Cotton, Cotton, R. James, Fabian H. Sinz +3 · 1 citation
    Neuroscience · Engineering · #Neural dynamics and brain function #Visual perception and processing mechanisms #CCD and CMOS Imaging Sensors
11. Decoding Depression Severity From Intracranial Neural Activity
    2023/02/02 by Jiayang Xiao, Nicole R. Provenza, Joseph Asfouri +22 · 20 citations
    Medicine · Neuroscience · #Neurological disorders and treatments #Functional Brain Connectivity Studies #Neural and Behavioral Psychology Studies
12. Foundation model of neural activity predicts response to new stimulus types
    2025/04/09 by Eric Wang, Paul G. Fahey, Zhuokun Ding +19 · 1 voice · 3 citations
    Neuroscience · #Functional Brain Connectivity Studies #Neural dynamics and brain function #Neuroscience and Neuropharmacology Research
13. A rotation-equivariant convolutional neural network model of primary visual cortex
    2018/09/27 by Alexander S. Ecker, Fabian H. Sinz, Ecker, Alexander S. +17 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Neuroscience · #Advanced Fluorescence Microscopy Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Visual perception and processing mechanisms
14. Statistics of natural scenes shape contextual modulation in the visual cortex
    2026/03/26 by Jiakun Fu, Suhas Shrinivasan, Luca Baroni +22 · 3 voices
    Neuroscience · Psychology · #Visual perception and processing mechanisms #Face Recognition and Perception #Multisensory perception and integration