Gabriel Kreiman

发表

Learning scene gist with convolutional neural networks to improve object recognition

Kevin Wu, Eric Wu, Gabriel Kreiman, 2018, 2018 52nd Annual Conference on Information Sciences and Systems (CISS).

Recurrent computations for visual pattern completion

David Cox, Gabriel Kreiman, Hanlin Tang, 2017, Proceedings of the National Academy of Sciences.

Fast decoding of natural object categories from intracranial field potentials in monkey's visual cortex

Gabriel Kreiman, Denis Fize, Maxime Cauchoix, 2010 .

The neural basis of rapid visual recognition: Neural decoding and Granger causality analysis of connectivity

Joseph R. Madsen, Gabriel Kreiman, Maxime Cauchoix, 2011 .

Zero-shot neural decoding of visual categories without prior exemplars

Gabriel Kreiman, Marvin M. Chun, Thomas P O'Connell, 2019 .

Automating Interictal Spike Detection: Revisiting A Simple Threshold Rule

Gabriel Kreiman, Sridevi V. Sarma, William S. Anderson, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning pdf

Gabriel Kreiman, David D. Cox, William Lotter, 2016, ICLR.

There's Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task.

Gabriel Kreiman, Thomas Miconi, Laura Groomes, 2014, Cerebral cortex.

Variational Prototype Replays for Continual Learning

Jiashi Feng, Gabriel Kreiman, Joo Hwee Lim, 2019 .

Ultra-fast Object Recognition from Few Spikes

Gabriel Kreiman, Tomaso Poggio, James J. DiCarlo, 2005 .

What am I Searching for: Zero-shot Target Identity Inference in Visual Search pdf

Gabriel Kreiman, Mengmi Zhang, Mengmi Zhang, 2020, ArXiv.

Lift-the-Flap: Context Reasoning Using Object-Centered Graphs pdf

Joseph Kwon, Jiashi Feng, Gabriel Kreiman, 2019, ArXiv.

Supporting Online Material for Fast Readout of Object Identity from Macaque Inferior Temporal Cortex

Tomaso Poggio, Gabriel Kreiman, James J. DiCarlo, 2005 .

Optimized hyperparameter values for the genetic algorithm.

Gabriel Kreiman, Will Xiao, 2020 .

Simple Learning Rules Generate Complex Canonical Circuits.

Gabriel Kreiman, Joseph Olson, Joseph W Olson, 2020, 2009.06118.

Beyond the feedforward sweep: feedback computations in the visual cortex

Gabriel Kreiman, Thomas Serre, T. Serre, 2020, Annals of the New York Academy of Sciences.

What am I searching for? pdf

Qi Zhao, Jiashi Feng, Gabriel Kreiman, 2018, ArXiv.

Rapid learning of meaningful image interpretation

Gabriel Kreiman, 2018 .

Optimized hyperparameter values for the FDGD and NES algorithms.

Gabriel Kreiman, Will Xiao, 2020 .

Nine Criteria for a Measure of Scientific Output

Gabriel Kreiman, John H. R. Maunsell, J. Maunsell, 2011, Front. Comput. Neurosci..

Tutorial on Pattern Classification in Cell Recording

Gabriel Kreiman, Ethan M. Meyers, Gabriel Kreiman, 2011 .

Predicting episodic memory formation for movie events

Gabriel Kreiman, Hanlin Tang, Jed Singer, 2016, Scientific Reports.

Incorporating intrinsic suppression in deep neural networks captures dynamics of adaptation in neurophysiology and perception

Gabriel Kreiman, Xavier Boix, Kasper Vinken, 2020, Science Advances.

Robustness to image clutter in human visual cortex

Alexandra J. Golby, Joseph R. Madsen, Gabriel Kreiman, 2010 .

Signals Contributing to Object Form Versus Surface Color The Representation of Color across the Human Visual Cortex: Distinguishing Chromatic

Anina N. Rich, Gabriel Kreiman, Mark A. Williams, 2015 .

A quantitative theory of immediate visual recognition.

Thomas Serre, Gabriel Kreiman, Tomaso Poggio, 2007, Progress in brain research.

Visual population codes : toward a common multivariate framework for cell recording and functional imaging

Gabriel Kreiman, Nikolaus Kriegeskorte, N. Kriegeskorte, 2012 .

Zero-shot neural decoding from rhesus macaque inferior temporal cortex using deep convolutional neural networks

Gabriel Kreiman, Thomas P. O'Connell, Marvin M. Chun, 2019 .

Neural coding: computational and biophysical perspectives

Gabriel Kreiman, Gabriel Kreiman, 2004, Physics of Life Reviews.

Sensitivity to timing and order in human visual cortex.

Gabriel Kreiman, Jedediah M. Singer, William S Anderson, 2014, Journal of neurophysiology.

A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception pdf

David Cox, Gabriel Kreiman, David D. Cox, 2018, ArXiv.

Depression-Biased Reverse Plasticity Rule Is Required for Stable Learning at Top-Down Connections

Gabriel Kreiman, Kendra S. Burbank, Gabriel Kreiman, 2012, PLoS Comput. Biol..

Biological object recognition

Gabriel Kreiman, 2008, Scholarpedia.

Robustness and/or Redundancy Emerge in Overparametrized Deep Neural Networks

Vanessa D'Amario, Gabriel Kreiman, Christopher Rodriguez, 2019 .

Frivolous Units: Wider Networks Are Not Really That Wide

Vanessa D'Amario, Gabriel Kreiman, Martin Schrimpf, 2019, AAAI.

Look Twice: A Computational Model of Return Fixations across Tasks and Species pdf

Gabriel Kreiman, Mengmi Zhang, Carlos Ponce, 2021, ArXiv.

Visual integration in the human brain

Joseph R. Madsen, Gabriel Kreiman, Jedediah M. Singer, 2011 .

Decoding ensemble activity from neurophysiological recordings in the temporal cortex

Gabriel Kreiman, Gabriel Kreiman, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Incorporating adaptation in object recognition models captures temporal dynamics in neurophysiology and perception

Gabriel Kreiman, Xavier Boix, Kasper Vinken, 2019 .

Putting Visual Object Recognition in Context

Gabriel Kreiman, Mengmi Zhang, Claire Tseng, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

What is changing when: Decoding visual information in movies from human intracranial recordings

Nancy Kanwisher, Joseph R. Madsen, Gabriel Kreiman, 2018, NeuroImage.

Feature Extraction by Multiple Neurons in a Topographical Sensory Map

Gabriel Kreiman, Christof Koch, Fabrizio Gabbiani, 2002 .

Fast Readout of Object Identity from Macaque Inferior Temporal Cortex

Tomaso Poggio, Gabriel Kreiman, James J DiCarlo, 2005, Science.

Data Analysis Techniques for Human Microwire Recordings: Spike Detection and Sorting, Decoding, Relation between Neurons and Local Field Potentials

Gabriel Kreiman, Ueli Rutishauser, Moran Cerf, 2014 .

Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks pdf

Vanessa D'Amario, Gabriel Kreiman, Martin Schrimpf, 2019, ArXiv.

Neural coding and feature extraction of time-varying signals

Gabriel Kreiman, Gabriel Kreiman, 2002 .

Finding any Waldo with zero-shot invariant and efficient visual search

Qi Zhao, Keng Teck Ma, Jiashi Feng, 2018, Nature Communications.

Adaptation in models of visual object recognition

Gabriel Kreiman, Kasper Vinken, 2019 .

XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization

Gabriel Kreiman, Will Xiao, Will Xiao, 2020, PLoS Comput. Biol..

On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations pdf

Gabriel Kreiman, Martin Schrimpf, Nicholas Cheney, 2017, ArXiv.

Biologically Inspired Circuits for Visual Search and Recognition in Complex Scenes

Gabriel Kreiman, Tomaso Poggio, T. Poggio, 2013 .

Theory on the Coupled Stochastic Dynamics of Transcription and Splice-Site Recognition

Gabriel Kreiman, Rajamanickam Murugan, R. Murugan, 2012, PLoS Comput. Biol..

Gradient-free activation maximization for identifying effective stimuli pdf

Gabriel Kreiman, Will Xiao, 2019, ArXiv.

It's a small dimensional world after all: Comment on "The unreasonable effectiveness of small neural ensembles in high-dimensional brain" by Alexander N. Gorban et al.

Gabriel Kreiman, 2019, Physics of life reviews.

Computational Models of Visual Object Recognition

Gabriel Kreiman, Gabriel Kreiman, 2013 .

Computational strategies used during hybrid visual search

Gabriel Kreiman, Jeremy M. Wolfe, Farahnaz Wick, 2019 .

Frivolous Units Help to Explain Non-Overfitting in Overparametrized Deep Neural Networks

Vanessa D'Amario, Gabriel Kreiman, Martin Schrimpf, 2019 .

Decrease in gamma-band activity tracks sequence learning

Joseph R. Madsen, Gabriel Kreiman, Hanlin Tang, 2015, Front. Syst. Neurosci..

A machine learning approach to predict episodic memory formation

James Carroll, Gabriel Kreiman, Hanlin Tang, 2016, 2016 Annual Conference on Information Science and Systems (CISS).

Biological and Computer Vision

Gabriel Kreiman, Gabriel Kreiman, 2021 .

Can Deep Learning Recognize Subtle Human Activities?

Gabriel Kreiman, Vincent Jacquot, Zhuofan Ying, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised Learning of Visual Structure using Predictive Generative Networks pdf

Gabriel Kreiman, David D. Cox, William Lotter, 2015, ArXiv.

A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex

Thomas Serre, Tomaso Poggio, Gabriel Kreiman, 2005 .

What do neurons really want? The role of semantics in cortical representations

Gabriel Kreiman, Gabriel Kreiman, 2019, Psychology of Learning and Motivation.

Spatiotemporal interpretation features in the recognition of dynamic images

Gabriel Kreiman, Shimon Ullman, Guy Ben-Yosef, 2018 .

Evolving super stimuli for real neurons using deep generative networks

Gabriel Kreiman, Margaret S. Livingstone, Carlos R. Ponce, 2019 .

Adversarial images for the primate brain pdf

Jiashi Feng, Gabriel Kreiman, Margaret S. Livingstone, 2020, ArXiv.

One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features pdf

Gabriel Kreiman, Stephen Casper, Max Nadeau, 2021, ArXiv.

What can human minimal videos tell us about dynamic recognition models? pdf

Shimon Ullman, Gabriel Kreiman, Guy Ben-Yosef, 2021, ArXiv.

Neurobiologically Plausible Computational Models

Gabriel Kreiman, Gabriel Kreiman, 2021, Biological and Computer Vision.

Enchanted Looms: Conscious Networks in Brains and Computers

Gabriel Kreiman, 2001 .

How cortical neurons help us see: visual recognition in the human brain.

Gabriel Kreiman, Julie Blumberg, J. Blumberg, 2010, The Journal of clinical investigation.

Toward Unmasking the Dynamics of Visual Perception

Gabriel Kreiman, J. Singer, Jedediah Singer, 2009, Neuron.

On the limits of feed-forward processing in visual object recognition

Gabriel Kreiman, Tomaso Poggio, Thomas Serre, 2010 .

Differential Gene Expression in the Developing Lateral Geniculate Nucleus and Medial Geniculate Nucleus Reveals Novel Roles for Zic4 and Foxp2 in Visual and Citation

Gabriel Kreiman, Damon Page, Mriganka Sur, 2009 .

A neural network trained for prediction mimics diverse features of biological neurons and perception

Gabriel Kreiman, David D. Cox, David Cox, 2020, Nature Machine Intelligence.

Integrated genome analysis suggests that most conserved non-coding sequences are regulatory factor binding sites

Gabriel Kreiman, Martin Hemberg, Nicole Cloonan, 2012, Nucleic acids research.

Stimulus Encoding and Feature Extraction by Multiple Sensory Neurons

Christof Koch, Gabriel Kreiman, Fabrizio Gabbiani, 2002, The Journal of Neuroscience.

Conservation of transcription factor binding events predicts gene expression across species

Gabriel Kreiman, Martin Hemberg, M. Hemberg, 2011, Nucleic acids research.

Neural correlates of consciousness in humans

Geraint Rees, Christof Koch, Gabriel Kreiman, 2002, Nature Reviews Neuroscience.

Temporal stability of visually selective responses in intracranial field potentials recorded from human occipital and temporal lobes.

Gabriel Kreiman, Arjun K. Bansal, Jedediah M. Singer, 2012, Journal of neurophysiology.

Postscript: About Grandmother Cells and Jennifer Aniston Neurons.

Gabriel Kreiman, Rodrigo Quian Quiroga, R. Quiroga, 2010 .

Gene expression changes and molecular pathways mediating activity-dependent plasticity in visual cortex

Gabriel Kreiman, Hongbo Yu, Sayan Mukherjee, 2006, Nature Neuroscience.

Consciousness and Neurosurgery

Christof Koch, Gabriel Kreiman, Itzhak Fried, 2004, Neurosurgery.

Bottom-Up and Top-Down Input Augment the Variability of Cortical Neurons

Gabriel Kreiman, Richard T. Born, Jonathan J. Nassi, 2016, Neuron.

Mind the quantum? Werner R. Loewenstein Physics in Mind: A Quantum View of the Brain

Gabriel Kreiman, 2013, Trends in Cognitive Sciences.

Spatiotemporal Dynamics Underlying Object Completion in Human Ventral Visual Cortex

Joseph R. Madsen, Gabriel Kreiman, William S. Anderson, 2014, Neuron.

Single neuron responses in humans during binocular rivalry and flash suppression

Christof Koch, Gabriel Kreiman, C. Koch, 2010 .

Single-neuron correlates of subjective vision in the human medial temporal lobe

Christof Koch, Gabriel Kreiman, Itzhak Fried, 2002, Proceedings of the National Academy of Sciences of the United States of America.

Kriegeskorte — Transformations of Lamarckism Introduction to Statistical Learning and Pattern Classification

Gabriel Kreiman, Jedediah M. Singer, G. Kreiman, 2011 .

A role for recurrent processing in object completion: neurophysiological, psychophysical and computational"evidence

Gabriel Kreiman, William S. Anderson, Calin Buia, 2014, 1409.2942.

Differential Gene Expression in the Developing Lateral Geniculate Nucleus and Medial Geniculate Nucleus Reveals Novel Roles for Zic4 and Foxp2 in Visual and Auditory Pathway Development

Gabriel Kreiman, Damon Page, Mriganka Sur, 2009, The Journal of Neuroscience.

Robust Selectivity to Two-Object Images in Human Visual Cortex

Alexandra J. Golby, Joseph R. Madsen, Gabriel Kreiman, 2010, Current Biology.

Identification of sparsely distributed clusters of cis-regulatory elements in sets of co-expressed genes.

Gabriel Kreiman, Gabriel Kreiman, 2004, Nucleic acids research.