Rajesh P. N. Rao | DeepAI

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Thomas Lukasiewicz
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Ankur Mali
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Andrea Stocco
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Bingni W. Brunton
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Tommaso Salvatori
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Dimitrios C. Gklezakos
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Floris van Breugel
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Eric Shea-Brown
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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...

0 Shirui Chen, et al. ∙

∙ 08/15/2023

Brain-Inspired Computational Intelligence via Predictive Coding

Artificial intelligence (AI) is rapidly becoming one of the key technolo...

0 Tommaso Salvatori, et al. ∙

∙ 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...

0 Rajesh P. N. Rao, et al. ∙

∙ 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...

0 Matthew J. Bryan, et al. ∙

∙ 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...

0 Dimitrios C. Gklezakos, et al. ∙

∙ 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 ...

0 Ares Fisher, et al. ∙

∙ 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...

0 Dimitrios C. Gklezakos, et al. ∙

∙ 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...

8 Satpreet Harcharan Singh, et al. ∙

∙ 12/06/2020

Brain Co-Processors: Using AI to Restore and Augment Brain Function

Brain-computer interfaces (BCIs) use decoding algorithms to control pros...

106 Rajesh P. N. Rao, et al. ∙

∙ 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...

17 Satpreet H. Singh, et al. ∙

∙ 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...

0 Rajesh P. N. Rao, et al. ∙

∙ 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...

0 Rajesh P. N. Rao, et al. ∙

∙ 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...

0 Rajesh P. N. Rao, et al. ∙

∙ 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...

0 Linxing Jiang, et al. ∙

∙ 12/08/2017

Transformational Sparse Coding

A fundamental problem faced by object recognition systems is that object...

0 Dimitrios C. Gklezakos, et al. ∙

∙ 03/25/2010

Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks

Current statistical models for structured prediction make simplifying as...

0 Xu Miao, et al. ∙

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