339 citations
- Stanford UniversityUS7 papers
- Allen Institute for Brain ScienceUS3 papers
- Howard Hughes Medical InstituteUS3 papers
- Bioengineering CenterRU2 papers
- Harvard UniversityUS2 papers
- Massachusetts General HospitalUS2 papers
- Neuroscience InstituteIT2 papers
- Princeton UniversityUS2 papers
- Stanford MedicineUS2 papers
- Uber AI (United States)US2 papers
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- University of California, DavisUS2 papers
5 papers · 1 filter
Shared representations in brains and models reveal a two-route cortical organization during scene perception
Pablo Marcos-Manchón, Lluís Fuentemilla
The brain transforms visual inputs into high-dimensional cortical representations that support diverse cognitive and behavioral goals. Characterizing how this information is organi…
Neural signal propagation atlas of C. elegans
Francesco Randi, Anuj K. Sharma, Sophie Dvali +1
A fundamental problem in neuroscience is understanding how a network's properties dictate its function. Connectomics provides one avenue to predict nervous system function. To test…
Making brain-machine interfaces robust to future neural variability
David Sussillo, Sergey D. Stavisky, Jonathan C. Kao +2
A major hurdle to clinical translation of brain-machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when…
Training recurrent neural networks with sparse, delayed rewards for flexible decision tasks
Thomas Miconi
Recurrent neural networks in the chaotic regime exhibit complex dynamics reminiscent of high-level cortical activity during behavioral tasks. However, existing training methods for…
A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale
Jason W. Bohland, Caizhi Wu, Helen Barbas +34
In this era of complete genomes, our knowledge of neuroanatomical circuitry remains surprisingly sparse. Such knowledge is however critical both for basic and clinical research int…