cortex
Neural Sampling in Hierarchical Exponential-family Energy-based Models
Bayesian brain theory suggests that the brain employs generative models to understand the external world.
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A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains
Over time, the two branches interact recurrently to build a scene representation from moving fixations.
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Incorporating Context into Language Encoding Models for fMRI
Neural Information Processing Systems http://nips.cc/
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Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity
Aria Wang, Michael Tarr, Leila Wehbe
Neural Information Processing Systems http://nips.cc/
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Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models
Amir Dezfouli, Richard Morris, Fabio T. Ramos, Peter Dayan, Bernard Balleine
Neural Information Processing Systems http://nips.cc/
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Task-Driven Convolutional Recurrent Models of the Visual System
Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. Yamins
Neural Information Processing Systems http://nips.cc/
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Infra-slow brain dynamics as a marker for cognitive function and decline
Shagun Ajmera Shyam Sunder Ajmera, Shreya Rajagopal, Razi Rehman, Devarajan Sridharan
Thus, fMRI BOLD activity reflects an indirect, noisy measure ofneural activity,mismatched toneural timescales byseveral orders ofmagnitude.
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Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex
Jianghong Shi, Eric Shea-Brown, Michael Buice
Neural Information Processing Systems http://nips.cc/
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