Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior | Nature Neuroscience
Using model- and primate behavior-driven image selection with large-scale electrophysiology in monkeys performing core recognition tasks, Kar et al. provide evidence that automatically engaged recurrent circuits are critical for rapid object identification.
Data availability The images used in this study and the behavioral and object solution time data will be publicly available at the time of publication from our GitHub repository (https://github.com/kohitij-kar/image_metrics). Code availability The code to generate the associated figures will be available upon reasonable request. The images, primate behavioral scores, estimated object solution times, and the modeling results will be hosted at http://brain-score.org29. References DiCarlo, J. J., Zoccolan, D. & Rust, N. C. How does the brain solve visual object recognition? Neuron 73,…
saved by
related reading
- Neural population geometry and optimal coding of tasks with shared latent structurenature.com
- The Unbearable Slowness of Beingarxiv.org
- Zoom In: An Introduction to Circuitsdistill.pub
- Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like? | bioRxivbiorxiv.org
- Triple-N Dataset: Non-human Primate Neural Responses to Natural Scenes | bioRxivbiorxiv.org
- Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopyncbi.nlm.nih.gov
- A brain-wide map of neural activity during complex behaviournature.com
- Attentionally modulated subjective images reconstructed from brain activity | bioRxivbiorxiv.org
- Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey - PMCncbi.nlm.nih.gov
- Reconciling the object and spatial processing views of the perirhinal cortex through task‐relevant unitization - PMCncbi.nlm.nih.gov
- A Model of Biological Motion Perception from Configural Form Cuespmc.ncbi.nlm.nih.gov
- TRAKR - A reservoir-based tool for fast and accurate classification of neural time-series patterns | bioRxivbiorxiv.org