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08/22/2023
Expressive probabilistic sampling in recurrent neural networks
In sampling-based Bayesian models of brain function, neural activities a...
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08/15/2023
Brain-Inspired Computational Intelligence via Predictive Coding
Artificial intelligence (AI) is rapidly becoming one of the key technolo...
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10/23/2022
Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning
Predictive coding has emerged as a prominent model of how the brain lear...
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10/19/2022
Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping
Objective: A major challenge in closed-loop brain-computer interfaces (B...
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07/07/2022
Hyper-Universal Policy Approximation: Learning to Generate Actions from a Single Image using Hypernets
Inspired by Gibson's notion of object affordances in human vision, we as...
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06/16/2022
Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies
Human vision involves parsing and representing objects and scenes using ...
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01/14/2022
Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies
We introduce Active Predictive Coding Networks (APCNs), a new class of n...
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09/25/2021
Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes
Tracking a turbulent plume to locate its source is a complex control pro...
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12/06/2020
Brain Co-Processors: Using AI to Restore and Augment Brain Function
Brain-computer interfaces (BCIs) use decoding algorithms to control pros...
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01/23/2020
Towards naturalistic human neuroscience and neuroengineering: behavior mining in long-term video and neural recordings
Recent advances in brain recording technology and artificial intelligenc...
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11/28/2018
The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor
The Indus script remains one of the last major undeciphered scripts of t...
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11/28/2018
Towards Neural Co-Processors for the Brain: Combining Decoding and Encoding in Brain-Computer Interfaces
The field of brain-computer interfaces is poised to advance from the tra...
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11/28/2018
Towards Neural Co-Processors: Combining Neural Decoding and Encoding in Brain-Computer Interfaces
The field of brain-computer interfaces is poised to advance from the tra...
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09/23/2018
BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains
We present BrainNet which, to our knowledge, is the first multi-person n...
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12/08/2017
Transformational Sparse Coding
A fundamental problem faced by object recognition systems is that object...
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03/25/2010
