We evaluated how the method compares to brute-force search, and how well the method generalizes to different neurons and processing stages. We use ConvNet units as in silico models of neurons, enabling experiments that would be prohibitive with biological neurons. Here we extensively and systematically evaluate the performance of XDream. A new method termed XDream (E Xtending DeepDream with real-time evolution for activation maximization) combined a generative neural network and a genetic algorithm in a closed loop to create strong stimuli for neurons in the macaque visual cortex. The characterization of effective stimuli has traditionally been based on a combination of intuition, insights from previous studies, and luck. XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimizationĪ longstanding question in sensory neuroscience is what types of stimuli drive neurons to fire. Learning Data Representation: Hierarchies and Invariance.Engineering and Reverse Engineering Reinforcement Learning.Neural Information Processing Systems (NIPS) 2015.Biophysical principles of brain oscillations and their meaning for information processing.Deep Learning: Theory, Algorithms and Applications.CBMM Workshop on Speech Representation, Perception and Recognition.Science of Intelligence: Computational Principles of Natural and Artificial Intelligence.A workshop on language and vision at CVPR 2017.Learning Disentangled Representations: from Perception to Control.A workshop on language and vision at CVPR 2018.A workshop on language and vision at CVPR 2019.Shared Visual Representations in Human and Machine Intelligence (SVRHM) Workshop 2019.MLCC 2020 simula Machine Learning Crash Course.REGML 2020 | Regularization Methods for Machine Learning.Shared Visual Representations in Human & Machine Intelligence (SVRHM) 2020.Shared Visual Representations in Human & Machine Intelligence (SVRHM) 2021.Undergraduate Summer Research Internships in Neuroscience.Theoretical Frameworks for Intelligence.Neurally-plausible mental-state recognition from observable actions.Sleep Network Dynamics Underlying Flexible Memory Consolidation and Learning.Invariance in Visual Cortex Neurons as Defined Through Deep Generative Networks.
Computational models of human social interaction perception.Modeling Human Goal Inference as Inverse Planning in Real Scenes.Memory and Executive Function | Brain OS.
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