
Explore automated reconstruction of neural wiring diagrams using advanced techniques like generative adversarial networks and crowdsourcing, with applications in connectomics and targeted brain data discovery.

Explore hippocampal memory, cognition, and sleep's role through phase processing, decoding, spatial navigation, and neural mechanisms in this comprehensive lecture.

Explore hippocampal structure, memory coding, and electrophysiology techniques. Delve into working hypotheses and data interpretation in neuroscience research.

Explore advanced neural models and mechanisms of human visual object recognition, including linear decoders, adversarial attacks, and individual variability in visual processing.

Explore primate face recognition, from neural substrates to computational principles, examining face cells, processing systems, and recognition architectures in this comprehensive overview.

Explore how fly neurons process visual motion direction, focusing on cellular mechanisms, biophysical models, and recent discoveries in Drosophila's neural circuits for motion detection.

Explore how songbirds develop neural sequences for vocalizations, examining the role of auditory memory in shaping motor circuits and facilitating song learning through reinforcement mechanisms.

Explores primate visual cortex responses during natural viewing, revealing how neurons in the interior temporal cortex react to faces and repeated fixations, providing insights into our stable visual perception.

Explore parallel systems for social and spatial reasoning in the brain's apex network, examining cognitive architecture, neural mechanisms, and evolutionary origins through fMRI experiments and theoretical frameworks.

Hands-on tutorial exploring RNNs in cognitive neuroscience through coding exercises. Learn to train and analyze RNNs for various tasks, with lecture and workshop components using Google Colab Notebooks.

Explore primate social intelligence, face perception, and neural mechanisms behind facial recognition and social interactions.

Explore primate and machine vision computations, comparing face recognition, image processing, and neural networks. Gain insights into computational neuroscience and visual perception illusions.

Explore brain imaging techniques, functional specialization, and neural networks in understanding human cognition. Insights on face recognition, predictive models, and the organization of mental processes.

Explore hippocampal mechanisms underlying memory and cognition, including structure, storage, retrieval, brain oscillations, and spatial firing patterns.

Explore the neural foundations of consciousness, examining brain structures and theories with neuroscientist Christof Koch in this thought-provoking lecture.

Explore the mechanisms of human visual object recognition, focusing on systems-level models, reverse engineering, and the ventral visual stream's role in perception and AI applications.

Explore how brain computations inspire AI advancements, covering visual illusions, neural connectivity, and deep learning networks to uncover new paths in artificial intelligence research.

Explore neural circuits for face recognition, including a newly discovered temporal pole region. Learn about face processing systems, computational principles, and their implications for visual intelligence.

Explore the intricate world of neural connections from nano to petascale, delving into motor memory, brain structure, and cutting-edge neuroscience research techniques.

Explore next-gen recurrent neural networks for cognitive neuroscience, addressing challenges and combining biological knowledge with computational goals for improved brain and mind understanding.

Explore how the human brain represents physical stability, from infant intuition to neural computations, and its applications in robotics and computer vision.