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. | The DiCarlo Lab at MIT

The DiCarlo Lab at MIT. Working to discover the neuronal algorithms underlying visual object recognition. How do you recognize the items on your desk? The faces of your loved ones? The words on this page? Our research goal is to understand the neuronal algorithms and circuits that underlie visual object recognition - an understanding that might help change the world. The ability to distinguish among objects despite dramatic image variation; [1]. Elucidating Neuronal Object Codes. The Circuits that Implem...

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. | The DiCarlo Lab at MIT | dicarlolab.mit.edu Reviews
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The DiCarlo Lab at MIT. Working to discover the neuronal algorithms underlying visual object recognition. How do you recognize the items on your desk? The faces of your loved ones? The words on this page? Our research goal is to understand the neuronal algorithms and circuits that underlie visual object recognition - an understanding that might help change the world. The ability to distinguish among objects despite dramatic image variation; [1]. Elucidating Neuronal Object Codes. The Circuits that Implem...
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. | The DiCarlo Lab at MIT | dicarlolab.mit.edu Reviews

https://dicarlolab.mit.edu

The DiCarlo Lab at MIT. Working to discover the neuronal algorithms underlying visual object recognition. How do you recognize the items on your desk? The faces of your loved ones? The words on this page? Our research goal is to understand the neuronal algorithms and circuits that underlie visual object recognition - an understanding that might help change the world. The ability to distinguish among objects despite dramatic image variation; [1]. Elucidating Neuronal Object Codes. The Circuits that Implem...

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dicarlolab.mit.edu dicarlolab.mit.edu
1

Untangling invariant object recognition | The DiCarlo Lab at MIT

http://dicarlolab.mit.edu/node/36

The DiCarlo Lab at MIT. Untangling invariant object recognition. On Mon, 02/14/2011 - 12:00. Untangling invariant object recognition. Trends in Cognitive Sciences. Http:/ dicarlolab.mit.edu/sites/dicarlolab.mit.edu/files/pubs/dicarlo%20and%20cox%202007.pdf. 101016/j.tics.2007.06.010. McGovern Institute for Brain Research. Brain and Cognitive Sciences. And Danang Probo Sayekti.

2

Why is real-world visual object recognition hard? | The DiCarlo Lab at MIT

http://dicarlolab.mit.edu/node/40

The DiCarlo Lab at MIT. Why is real-world visual object recognition hard? On Mon, 02/14/2011 - 12:00. Why is real-world visual object recognition hard? Http:/ dicarlolab.mit.edu/sites/dicarlolab.mit.edu/files/pubs/Pinto%20et%20al%202008.pdf. McGovern Institute for Brain Research. Brain and Cognitive Sciences. And Danang Probo Sayekti.

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Fast readout of object identity from macaque inferior temporal cortex | The DiCarlo Lab at MIT

http://dicarlolab.mit.edu/node/19

The DiCarlo Lab at MIT. Fast readout of object identity from macaque inferior temporal cortex. On Mon, 02/14/2011 - 12:00. Fast readout of object identity from macaque inferior temporal cortex. Science {(New} York, {N.Y.)}. Http:/ dicarlolab.mit.edu/sites/dicarlolab.mit.edu/files/pubs/hung%20et%20al%202005.pdf. McGovern Institute for Brain Research. Brain and Cognitive Sciences. And Danang Probo Sayekti.

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News | The DiCarlo Lab at MIT

http://dicarlolab.mit.edu/node/108

The DiCarlo Lab at MIT. How the brain recognizes objects. To view the article published in October 2015 by Science Daily. Using data from both humans and nonhuman primates, neuroscientists have found that neuron firing patterns in the IT cortex correlate strongly with success in object-recognition tasks. Read More. Study validates monkey model of visual perception. To view the article published in August 2015 by Science Daily. To view the article published in May 2015 by MIT News. Scientists have long at...

5

Selectivity and tolerance ("invariance") both increase as visual information propagates from cortical area V4 to {IT} | The DiCarlo Lab at MIT

http://dicarlolab.mit.edu/node/29

The DiCarlo Lab at MIT. Selectivity and tolerance (invariance) both increase as visual information propagates from cortical area V4 to {IT}. On Mon, 02/14/2011 - 12:00. Selectivity and tolerance ("invariance") both increase as visual information propagates from cortical area V4 to {IT}. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. Http:/ www.jneurosci.org/cgi/reprint/30/39/12978. McGovern Institute for Brain Research. Brain and Cognitive Sciences.

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coxlab.org coxlab.org

Cox Lab - Biologically-Inspired Artificial Vision

http://www.coxlab.org/projects/computation

We’re interested in reverse engineering. Biological visual systems. However, we would argue that any serious effort to reverse engineer a system should also include a component of forward engineering. For our purposes, this entails attempting to take principles we’ve learned from natural systems and build them into working artificial computer vision systems. This work is a collaboration between our lab, and the DiCarlo Lab. Nicolas Pinto, David D. Cox. 2009) A High-Throughput Screening Approach to Discov...

nadjaoertelt.com nadjaoertelt.com

Neuroscience + Paleoanthropology | Publications — NADJA OERTELT

http://www.nadjaoertelt.com/publications

Science / production / documentary. I worked in the DiCarlo Lab. At MIT from 2003-2005 and 2006-2007, the Translational Cognitive Neuroscience Lab. At Cambridge University from 2005-2006 and the Cox Lab. At Harvard University from 2007-2009. I also conducted paleoanthropology research in the Archaeology. Departments at UCL in London from 2009-2010.

churchlandlab.org churchlandlab.org

Churchland lab | Perceptual decision-making at Cold Spring Harbor | Page 2

https://churchlandlab.org/page/2

Perceptual decision-making at Cold Spring Harbor. Exciting results from across neuroscience presented at the McKnight Foundation Neuroscience Meeting. July 1, 2015. There were many interesting talks at the meeting. Two scientific highlights for us were:. 1 Hearing about recent work from Ben Barres’s lab. He warns that A1 (bad) astrocytes proliferate in aging brains and may play a role in Alzheimer’s disease. 2 Some more comforting news about aging from Elizabeth Kensinger’s lab. May 19, 2015. Bag of neur...

churchlandlab.org churchlandlab.org

What can we learn about the brain by perturbing neural activity? | Churchland lab

https://churchlandlab.org/2015/03/13/what-can-we-learn-about-the-brain-by-perturbing-neural-activity

Perceptual decision-making at Cold Spring Harbor. What can we learn about the brain by perturbing neural activity? March 13, 2015. A postdoc in Jim DiCarlo’s lab at MIT. Brought together 6 of us to argue it out. The lineup included myself. In the end, we agreed that in. One Response to “What can we learn about the brain by perturbing neural activity? March 14, 2015 at 6:28 pm. This was a great workshop. Look forward to more ‘how to do good science’ workshops at future Cosynes. Leave a Reply Cancel reply.

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. | The DiCarlo Lab at MIT

The DiCarlo Lab at MIT. Working to discover the neuronal algorithms underlying visual object recognition. How do you recognize the items on your desk? The faces of your loved ones? The words on this page? Our research goal is to understand the neuronal algorithms and circuits that underlie visual object recognition - an understanding that might help change the world. The ability to distinguish among objects despite dramatic image variation; [1]. Elucidating Neuronal Object Codes. The Circuits that Implem...

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