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Hippocampal-prefrontal input supports spatial encoding in working memory

Nature (London), 2015-06, Vol.522 (7556), p.309-314

2015

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The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off

The Journal of neuroscience, 2013-02, Vol.33 (9), p.3844-3856

2013

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Predictive learning as a network mechanism for extracting low-dimensional latent space representations

Nature communications, 2021-03, Vol.12 (1), p.1417-1417, Article 1417

2021

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Shared neural coding for social hierarchy and reward value in primate amygdala

Nature neuroscience, 2018-03, Vol.21 (3), p.415

2018

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The importance of mixed selectivity in complex cognitive tasks

Nature (London), 2013-05, Vol.497 (7451), p.585-590

2013

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Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge

The Journal of artificial intelligence research, 2022-01, Vol.73, p.437-459

2022

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RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays

Frontiers in neuroscience, 2019-07, Vol.13, p.753-753

2019

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Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses

Frontiers in computational neuroscience, 2010, Vol.4, p.24-24

2010

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Why neurons mix: high dimensionality for higher cognition

Current opinion in neurobiology, 2016-04, Vol.37, p.66-74

2016

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Energy-Efficient Neuromorphic Classifiers

Neural computation, 2016-10, Vol.28 (10), p.2011-2044

2016

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Power-law autocorrelation of neural activity in models of mental states that are hierarchically organized

BMC neuroscience, 2009-07, Vol.10 (S1), p.P292-P292, Article P292

2009

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The implications of categorical and category-free mixed selectivity on representational geometries

Current opinion in neurobiology, 2022-12, Vol.77, p.102644-102644, Article 102644

2022

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A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition

Neural computation, 2011-08, Vol.23 (8), p.1935-1943

2011

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Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex

The Journal of neuroscience, 2017-11, Vol.37 (45), p.11021-11036

2017

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672. Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus

Biological psychiatry (1969), 2017-05, Vol.81 (10), p.S272-S272

2017

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Tabular Transformers for Modeling Multivariate Time Series

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.3565-3569

2021

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Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus

Biological psychiatry (1969), 2017, Vol.81 (10), p.S272-S272

2017

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Mixed selectivity: Cellular computations for complexity

Neuron (Cambridge, Mass.), 2024-05

2024

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Importance of Digitalization and Standardization for Bridge and Tunnel Monitoring and Predictive Maintenance

ce/papers, 2023-09, Vol.6 (5), p.592-599

2023

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Towards Workflows for the Use of AI Foundation Models in Visual Inspection Applications

ce/papers, 2023-09, Vol.6 (5), p.605-613

2023

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Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures

Computer Vision – ECCV 2022 Workshops, p.244-257

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Attractor concretion as a mechanism for the formation of context representations

NeuroImage (Orlando, Fla.), 2010-09, Vol.52 (3), p.833-847

2010

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Scalability properties of multimodular networks with dynamic gating

BMC neuroscience, 2013-07, Vol.14 (S1), p.P136-P136, Article P136

2013

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Active Learning for Imbalanced Civil Infrastructure Data

Computer Vision – ECCV 2022 Workshops, p.283-298

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Hebbian-inspired rewiring of a random network replicates pattern of selectivity seen in PFC

BMC neuroscience, 2014-07, Vol.15 (S1), p.P160-P160, Article P160

2014

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Hippocampal-prefrontal input supports spatial encoding in working memory

The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off

Predictive learning as a network mechanism for extracting low-dimensional latent space representations

Shared neural coding for social hierarchy and reward value in primate amygdala

The importance of mixed selectivity in complex cognitive tasks

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge

RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays

Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses

Why neurons mix: high dimensionality for higher cognition

Energy-Efficient Neuromorphic Classifiers

Power-law autocorrelation of neural activity in models of mental states that are hierarchically organized

The implications of categorical and category-free mixed selectivity on representational geometries

A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition

Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex

672. Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus

Tabular Transformers for Modeling Multivariate Time Series

Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus

Mixed selectivity: Cellular computations for complexity

Importance of Digitalization and Standardization for Bridge and Tunnel Monitoring and Predictive Maintenance

Towards Workflows for the Use of AI Foundation Models in Visual Inspection Applications

Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures

Attractor concretion as a mechanism for the formation of context representations

Scalability properties of multimodular networks with dynamic gating

Active Learning for Imbalanced Civil Infrastructure Data

Hebbian-inspired rewiring of a random network replicates pattern of selectivity seen in PFC

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