
Explore brain mapping through connectomics, uncovering the complex wiring of neurons and synapses to understand memory, skills, and neurological disorders with Prof. Lichtman.

Explore complex systems in neuroscience, from network analysis to brain dynamics. Learn about connectomics, brain mapping techniques, and models of functional connectivity across various species.

Uncover how heavy-tailed connectivity in neural networks emerges from simple mechanisms. Explore a model of synaptic self-organization and its implications for understanding brain structure across species.

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

Explore cutting-edge techniques in connectomics, from crowdsourcing to machine learning, for mapping neural connections and understanding brain function at scale.

Explore Drosophila neuroscience, from genome to behavior. Learn about olfactory processing, motion vision, and neural circuits underlying sensory perception and motor control in fruit flies.

Explore the intricate mechanisms of fly navigation, from neural circuits to behavioral outputs. Discover how flies determine their heading and direction through advanced neuroscience techniques and connectome analysis.

Explore petascale connectomics, its advancements in brain mapping, and future exascale projects. Learn about automated image analysis techniques and their impact on understanding neural structures and brain function.

Explore insights from fruit fly brain connectomes, including FlyWire resource, edge weight interpretation, cell type definition, and variability analysis in comparative connectomics.

Explore how connectomes aid in understanding navigational attractor dynamics in fly brains, linking circuit structure to function and revealing insights into flexible behavior across species.

Explore connectome-based modeling in flies, revolutionizing neural circuit understanding and its link to behavior, presented by Larry Abbott at UCLA's IPAM workshop.

Explore the potential of connectome analysis in neuroscience with Gwyneth Card, discussing its applications, limitations, and future directions in understanding brain function and behavior.

Explores the importance of gap junctions and mitochondria in neural connectivity, highlighting their roles in Drosophila flight control and visual system function beyond traditional chemical synapses.

Exploring how connectivity measurements of neural networks can predict neural activity and inform understanding of neural computation, with experimentally testable predictions across multiple studies.

Explore advanced brain imaging techniques for mapping anatomical and functional micro-organization, including myelin mapping, iron quantification, and short association fiber analysis.

Explore causal mapping of neuropsychiatric symptoms onto brain circuits. Learn lesion network mapping, depression localization, and therapeutic applications in addiction and epilepsy.

Explore cutting-edge 3D imaging techniques used to map fruit fly motor neurons and muscles, revealing insights into neural networks controlling locomotion and posture.

Explore neural mechanisms of limb proprioception and motor control in fruit flies. Discover how proprioceptor subtypes encode joint position and movement, and examine computational models predicting leg proprioceptor activity during walking.