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PSC3008 Population coding
How a population of neurons can simultaneously encode information about stimulus orientation, contrast and retinal location.
published: 02 Sep 2020
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Distinct Timescales of Population Coding Across Cortex
Eugenio Piasini, IIT
published: 21 Sep 2017
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Dynamic population coding in prefrontal cortex
In this narrated video cognitive neuroscientist Mark Stokes takes us by the hand and leads us up to the frayed, cutting edge of methods for analyzing neuronal activity during working memory task performance. In so doing, he illustrates evidence that the retention of information in working memory may be accomplished by temporary changes in synaptic weights, creating so-called “hidden states,” a radical alternative to the traditional idea that the neural basis for short-term and working memory is sustained, elevated activity.
For more info/content, please visit: https://postlab.psych.wisc.edu/cog-neuro-comp/
Relevant paper:
Stokes, M. G., Kusunoki, M., Sigala, N., Nili, H., Gaffan, D., & Duncan, J. (2013). Dynamic coding for cognitive control in prefrontal cortex. Neuron, 78(2), 364-375.
published: 22 Apr 2019
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A thesaurus for a neural population code
A thesaurus for a neural population code. Elad Ganmor et al (2015), eLIFE http://dx.doi.org/10.7554/eLife.06134
Information is carried in the brain by the joint spiking patterns of large groups of noisy, unreliable neurons. This noise limits the capacity of the neural code and determines how information can be transmitted and read-out. To accurately decode, the brain must overcome this noise and identify which patterns are semantically similar. We use models of network encoding noise to learn a thesaurus for populations of neurons in the vertebrate retina responding to artificial and natural videos, measuring the similarity between population responses to visual stimuli based on the information they carry. This thesaurus reveals that the code is organized in clusters of synonymous activit...
published: 08 Sep 2015
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Brain Awareness Video Contest: Population Coding: Mind Reading and More
https://www.sfn.org/BAVC
Is it possible to read minds using science? While scientists cannot read thoughts, they are able to anticipate more basic neural responses through a process called population coding. Watch this video by Vania Cao, who recently defended her PhD thesis at Brown University, to learn about population coding. Discover how scientists use this process to “read” minds and make bionic limbs move. This video tied for second place in the 2013 Brain Awareness Video Contest.
Link: https://www.youtube.com/watch?v=7hiGHc_6Nps
published: 01 Jul 2016
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Population Coding Presentation Final
published: 09 Feb 2021
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Ehsan Sedaghat-Nejad, Population coding of saccadic eye movements by Purkinje cells (11/12/20)
Peer-reviewed work presented at Advances in Motor Learning & Motor Control, November 2020
http://www.motor-conference.org/
Population coding of saccadic eye movements by Purkinje cells of the marmoset cerebellum
Ehsan Sedaghat-Nejad, Paul Hage, Jay Pi and Reza Shadmehr
Link to the paper: https://drive.google.com/file/d/18W2LYLBxgITjgSNL8Q-9ghScunCWqUCr/view
published: 13 Nov 2020
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Using population decoding to understand neural content and coding
Ethan Meyers, Yale University / Hampshire College
published: 11 Aug 2020
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CS50 Lab 1 - Population Solution 2024. (Beginners Guide)
Welcome to This is CS50 Week 1 Lab - Population Growth. This tutorial will cover how to complete CS50x Population
published: 13 Feb 2023
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arivis @ SfN15 Solving the Problem of Neural Population Coding at Manchester University
Watch this video to hear Dr Abhinav Singh, Research Associate in Systems Neurophysiology Lab at University of Manchester explain the problem of population coding. When information about the external world is received via sensory signalling, it is transformed by our brain. Exactly how this transformation happens is unknown. Dr Singh is looking into how spikes in the pre-frontal cortex encode information about rule learning, and also discusses the fantastic viewpoint virtual reality offers in data analysis. - See more at: http://www.selectscience.net/selectscience-tv/videos/solving-the-problem-of-neural-population-coding-at-manchester-university/?videoID=3096#sthash.hb71LAFI.dpuf
published: 29 Mar 2016
11:46
PSC3008 Population coding
How a population of neurons can simultaneously encode information about stimulus orientation, contrast and retinal location.
How a population of neurons can simultaneously encode information about stimulus orientation, contrast and retinal location.
https://wn.com/Psc3008_Population_Coding
How a population of neurons can simultaneously encode information about stimulus orientation, contrast and retinal location.
- published: 02 Sep 2020
- views: 2773
8:47
Dynamic population coding in prefrontal cortex
In this narrated video cognitive neuroscientist Mark Stokes takes us by the hand and leads us up to the frayed, cutting edge of methods for analyzing neuronal a...
In this narrated video cognitive neuroscientist Mark Stokes takes us by the hand and leads us up to the frayed, cutting edge of methods for analyzing neuronal activity during working memory task performance. In so doing, he illustrates evidence that the retention of information in working memory may be accomplished by temporary changes in synaptic weights, creating so-called “hidden states,” a radical alternative to the traditional idea that the neural basis for short-term and working memory is sustained, elevated activity.
For more info/content, please visit: https://postlab.psych.wisc.edu/cog-neuro-comp/
Relevant paper:
Stokes, M. G., Kusunoki, M., Sigala, N., Nili, H., Gaffan, D., & Duncan, J. (2013). Dynamic coding for cognitive control in prefrontal cortex. Neuron, 78(2), 364-375.
https://wn.com/Dynamic_Population_Coding_In_Prefrontal_Cortex
In this narrated video cognitive neuroscientist Mark Stokes takes us by the hand and leads us up to the frayed, cutting edge of methods for analyzing neuronal activity during working memory task performance. In so doing, he illustrates evidence that the retention of information in working memory may be accomplished by temporary changes in synaptic weights, creating so-called “hidden states,” a radical alternative to the traditional idea that the neural basis for short-term and working memory is sustained, elevated activity.
For more info/content, please visit: https://postlab.psych.wisc.edu/cog-neuro-comp/
Relevant paper:
Stokes, M. G., Kusunoki, M., Sigala, N., Nili, H., Gaffan, D., & Duncan, J. (2013). Dynamic coding for cognitive control in prefrontal cortex. Neuron, 78(2), 364-375.
- published: 22 Apr 2019
- views: 1404
0:21
A thesaurus for a neural population code
A thesaurus for a neural population code. Elad Ganmor et al (2015), eLIFE http://dx.doi.org/10.7554/eLife.06134
Information is carried in the brain by the join...
A thesaurus for a neural population code. Elad Ganmor et al (2015), eLIFE http://dx.doi.org/10.7554/eLife.06134
Information is carried in the brain by the joint spiking patterns of large groups of noisy, unreliable neurons. This noise limits the capacity of the neural code and determines how information can be transmitted and read-out. To accurately decode, the brain must overcome this noise and identify which patterns are semantically similar. We use models of network encoding noise to learn a thesaurus for populations of neurons in the vertebrate retina responding to artificial and natural videos, measuring the similarity between population responses to visual stimuli based on the information they carry. This thesaurus reveals that the code is organized in clusters of synonymous activity patterns that are similar in meaning but may differ considerably in their structure. This organization is highly reminiscent of the design of engineered codes. We suggest that the brain may use this structure and show how it allows accurate decoding of novel stimuli from novel spiking patterns.
Good channel: https://www.youtube.com/Dlium
Subscribe, like and comment.
Good website: https://www.dlium.com
Bookmark, subscribe and comment.
https://wn.com/A_Thesaurus_For_A_Neural_Population_Code
A thesaurus for a neural population code. Elad Ganmor et al (2015), eLIFE http://dx.doi.org/10.7554/eLife.06134
Information is carried in the brain by the joint spiking patterns of large groups of noisy, unreliable neurons. This noise limits the capacity of the neural code and determines how information can be transmitted and read-out. To accurately decode, the brain must overcome this noise and identify which patterns are semantically similar. We use models of network encoding noise to learn a thesaurus for populations of neurons in the vertebrate retina responding to artificial and natural videos, measuring the similarity between population responses to visual stimuli based on the information they carry. This thesaurus reveals that the code is organized in clusters of synonymous activity patterns that are similar in meaning but may differ considerably in their structure. This organization is highly reminiscent of the design of engineered codes. We suggest that the brain may use this structure and show how it allows accurate decoding of novel stimuli from novel spiking patterns.
Good channel: https://www.youtube.com/Dlium
Subscribe, like and comment.
Good website: https://www.dlium.com
Bookmark, subscribe and comment.
- published: 08 Sep 2015
- views: 436
5:01
Brain Awareness Video Contest: Population Coding: Mind Reading and More
https://www.sfn.org/BAVC
Is it possible to read minds using science? While scientists cannot read thoughts, they are able to anticipate more basic neural respo...
https://www.sfn.org/BAVC
Is it possible to read minds using science? While scientists cannot read thoughts, they are able to anticipate more basic neural responses through a process called population coding. Watch this video by Vania Cao, who recently defended her PhD thesis at Brown University, to learn about population coding. Discover how scientists use this process to “read” minds and make bionic limbs move. This video tied for second place in the 2013 Brain Awareness Video Contest.
Link: https://www.youtube.com/watch?v=7hiGHc_6Nps
https://wn.com/Brain_Awareness_Video_Contest_Population_Coding_Mind_Reading_And_More
https://www.sfn.org/BAVC
Is it possible to read minds using science? While scientists cannot read thoughts, they are able to anticipate more basic neural responses through a process called population coding. Watch this video by Vania Cao, who recently defended her PhD thesis at Brown University, to learn about population coding. Discover how scientists use this process to “read” minds and make bionic limbs move. This video tied for second place in the 2013 Brain Awareness Video Contest.
Link: https://www.youtube.com/watch?v=7hiGHc_6Nps
- published: 01 Jul 2016
- views: 1867
26:41
Ehsan Sedaghat-Nejad, Population coding of saccadic eye movements by Purkinje cells (11/12/20)
Peer-reviewed work presented at Advances in Motor Learning & Motor Control, November 2020
http://www.motor-conference.org/
Population coding of saccadic eye mov...
Peer-reviewed work presented at Advances in Motor Learning & Motor Control, November 2020
http://www.motor-conference.org/
Population coding of saccadic eye movements by Purkinje cells of the marmoset cerebellum
Ehsan Sedaghat-Nejad, Paul Hage, Jay Pi and Reza Shadmehr
Link to the paper: https://drive.google.com/file/d/18W2LYLBxgITjgSNL8Q-9ghScunCWqUCr/view
https://wn.com/Ehsan_Sedaghat_Nejad,_Population_Coding_Of_Saccadic_Eye_Movements_By_Purkinje_Cells_(11_12_20)
Peer-reviewed work presented at Advances in Motor Learning & Motor Control, November 2020
http://www.motor-conference.org/
Population coding of saccadic eye movements by Purkinje cells of the marmoset cerebellum
Ehsan Sedaghat-Nejad, Paul Hage, Jay Pi and Reza Shadmehr
Link to the paper: https://drive.google.com/file/d/18W2LYLBxgITjgSNL8Q-9ghScunCWqUCr/view
- published: 13 Nov 2020
- views: 291
9:33
CS50 Lab 1 - Population Solution 2024. (Beginners Guide)
Welcome to This is CS50 Week 1 Lab - Population Growth. This tutorial will cover how to complete CS50x Population
Welcome to This is CS50 Week 1 Lab - Population Growth. This tutorial will cover how to complete CS50x Population
https://wn.com/Cs50_Lab_1_Population_Solution_2024._(Beginners_Guide)
Welcome to This is CS50 Week 1 Lab - Population Growth. This tutorial will cover how to complete CS50x Population
- published: 13 Feb 2023
- views: 14777
3:12
arivis @ SfN15 Solving the Problem of Neural Population Coding at Manchester University
Watch this video to hear Dr Abhinav Singh, Research Associate in Systems Neurophysiology Lab at University of Manchester explain the problem of population codin...
Watch this video to hear Dr Abhinav Singh, Research Associate in Systems Neurophysiology Lab at University of Manchester explain the problem of population coding. When information about the external world is received via sensory signalling, it is transformed by our brain. Exactly how this transformation happens is unknown. Dr Singh is looking into how spikes in the pre-frontal cortex encode information about rule learning, and also discusses the fantastic viewpoint virtual reality offers in data analysis. - See more at: http://www.selectscience.net/selectscience-tv/videos/solving-the-problem-of-neural-population-coding-at-manchester-university/?videoID=3096#sthash.hb71LAFI.dpuf
https://wn.com/Arivis_Sfn15_Solving_The_Problem_Of_Neural_Population_Coding_At_Manchester_University
Watch this video to hear Dr Abhinav Singh, Research Associate in Systems Neurophysiology Lab at University of Manchester explain the problem of population coding. When information about the external world is received via sensory signalling, it is transformed by our brain. Exactly how this transformation happens is unknown. Dr Singh is looking into how spikes in the pre-frontal cortex encode information about rule learning, and also discusses the fantastic viewpoint virtual reality offers in data analysis. - See more at: http://www.selectscience.net/selectscience-tv/videos/solving-the-problem-of-neural-population-coding-at-manchester-university/?videoID=3096#sthash.hb71LAFI.dpuf
- published: 29 Mar 2016
- views: 195