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Jeffrey P Gavornik

Showing results (1-10 of 28) with videos related to

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Frontiers in Computational Neuroscience|June 26, 2023
Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learningJackson Rozells, Jeffrey P Gavornik
Learning & Memory (Cold Spring Harbor, N.Y.)|September 17, 2014
Higher brain functions served by the lowly rodent primary visual cortexJeffrey P Gavornik, Mark F Bear
Frontiers in Computational Neuroscience|July 25, 2022
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future DirectionsByron H Price, Jeffrey P Gavornik
Journal of Computational Neuroscience|September 11, 2010
A network of spiking neurons that can represent interval timing: mean field analysisJeffrey P Gavornik, Harel Z Shouval
Current Opinion in Neurobiology|April 10, 2025
The visual evoked potential is a sensitive and powerful measure of experience-dependent visual cortical plasticity in miceJeffrey P Gavornik, Mark F Bear
Journal of Computational Neuroscience|September 10, 2010
A single spiking neuron that can represent interval timing: analysis, plasticity and multi-stabilityHarel Z Shouval, Jeffrey P Gavornik
Nature Neuroscience|March 25, 2014
Learned spatiotemporal sequence recognition and prediction in primary visual cortexJeffrey P Gavornik, Mark F Bear
Physical Review Letters|May 18, 2013
Scaling of perceptual errors can predict the shape of neural tuning curvesHarel Z Shouval, Animesh Agarwal, Jeffrey P Gavornik
Biorxiv : the Preprint Server for Biology|February 8, 2024
Learned response dynamics reflect stimulus timing and encode temporal expectation violations in superficial layers of mouse V1Scott G Knudstrup, Catalina Martinez, Jeffrey P Gavornik
Plos One|April 17, 2023
Sex and estrous cycle affect experience-dependent plasticity in mouse primary visual cortexRachel W Schecter, Cambria M Jensen, Jeffrey P Gavornik
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Frontiers in Computational Neuroscience|June 26, 2023
Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learningJackson Rozells, Jeffrey P Gavornik
Learning & Memory (Cold Spring Harbor, N.Y.)|September 17, 2014
Higher brain functions served by the lowly rodent primary visual cortexJeffrey P Gavornik, Mark F Bear
Frontiers in Computational Neuroscience|July 25, 2022
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future DirectionsByron H Price, Jeffrey P Gavornik
Journal of Computational Neuroscience|September 11, 2010
A network of spiking neurons that can represent interval timing: mean field analysisJeffrey P Gavornik, Harel Z Shouval
Current Opinion in Neurobiology|April 10, 2025
The visual evoked potential is a sensitive and powerful measure of experience-dependent visual cortical plasticity in miceJeffrey P Gavornik, Mark F Bear
Journal of Computational Neuroscience|September 10, 2010
A single spiking neuron that can represent interval timing: analysis, plasticity and multi-stabilityHarel Z Shouval, Jeffrey P Gavornik
Nature Neuroscience|March 25, 2014
Learned spatiotemporal sequence recognition and prediction in primary visual cortexJeffrey P Gavornik, Mark F Bear
Physical Review Letters|May 18, 2013
Scaling of perceptual errors can predict the shape of neural tuning curvesHarel Z Shouval, Animesh Agarwal, Jeffrey P Gavornik
Biorxiv : the Preprint Server for Biology|February 8, 2024
Learned response dynamics reflect stimulus timing and encode temporal expectation violations in superficial layers of mouse V1Scott G Knudstrup, Catalina Martinez, Jeffrey P Gavornik
Plos One|April 17, 2023
Sex and estrous cycle affect experience-dependent plasticity in mouse primary visual cortexRachel W Schecter, Cambria M Jensen, Jeffrey P Gavornik
Pageof 3