
Explore computational theories of the brain through the Sparse Manifold Transform, examining its applications in understanding neural processing and information representation in the visual system.

Explore how spiking neural networks acquire learning and memory capabilities, bridging computational neuroscience and artificial intelligence research.

Explore an algorithmic approach to understanding brain networks, examining computational theories and their implications for neuroscience and cognitive science.

Explore cutting-edge theories on how the brain processes sensory information, focusing on predictive coding models and their implications for understanding perception.

Explore the relationship between brain structure and function with Harvard's Jeff Lichtman, delving into cutting-edge neuroscience research and theoretical perspectives.

Explore cutting-edge techniques for analyzing neural population dynamics using sequential auto-encoders, with insights from Google researcher David Sussillo.

Explore how cortical areas communicate through subspaces, examining neural population dynamics and inter-area interactions in visual processing using advanced data analysis techniques.

Explore the neural circuitry of basal ganglia and its role in reinforcement learning, focusing on representation, coding, and computation in neural networks.

Explore hippocampal theta sequences and their role in memory, planning, and decision-making. Discover how neural activity alternates between representations of current and future possibilities.

Explore hippocampal place-cell sequences and their role in neural circuits, focusing on representation, coding, and computation in the brain's spatial navigation system.

Explore the intricate workings of visual perception, delving into neural processes and computational models that shape our understanding of how the brain interprets visual information.

Explore neural network computation in the brain, focusing on advanced concepts and recent research findings in computational neuroscience.

Explore neural connectivity mapping and developmental processes in the brain, focusing on advanced techniques and recent findings in neuroscience research.

Explore neural connectivity mapping and developmental processes in the brain, focusing on cutting-edge techniques and insights from Harvard research.

Explore short-term evolution in wild populations through pedigree analysis, examining genetic contributions, selection processes, and life-cycle stages to uncover evolutionary dynamics in nature.

Explore how ant colonies' social circulatory systems impact metabolism and aging, revealing insights into evolutionary transitions and collective decision-making in superorganisms.

Explore microbial social dynamics, cooperation, and adaptation in diverse environments. Discover evolutionary strategies and ecological impacts of microbial interactions.

Explore the fascinating world of African cichlid fishes, their adaptive radiation, and the dynamics of their evolution in Lake Tanganyika. Discover genetic timelines, phenotype-environment correlations, and key morphological differences.

Explore the role of large-effect loci in stickleback adaptation, focusing on fitness mapping and evolutionary dynamics in introduced populations.

Explore plant adaptation to winter through FLC regulation, epigenetic switches, and non-coding transcripts. Discover temperature sensing and natural variation in vernalization across populations.

Explore phenotypic evolution in water striders through an EvoDevo lens, examining leg length modulation, niche specialization, and evolutionary innovations like the propelling fan.