Year |
Citation |
Score |
2023 |
Gorka AX, Philips RT, Torrisi S, Manbeck A, Goodwin M, Ernst M, Grillon C. Periaqueductal gray matter and medial prefrontal cortex reflect negative prediction errors during differential conditioning. Social Cognitive and Affective Neuroscience. PMID 37162323 DOI: 10.1093/scan/nsad025 |
0.626 |
|
2022 |
Gorka AX, Philips RT, Torrisi S, Claudino L, Foray K, Grillon C, Ernst M. The posterior cingulate cortex reflects the impact of anxiety on drift rates during cognitive processing. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging. PMID 35381405 DOI: 10.1016/j.bpsc.2022.03.010 |
0.6 |
|
2021 |
Philips RT, Torrisi SJ, Gorka AX, Grillon C, Ernst M. Dynamic Time Warping Identifies Functionally Distinct fMRI Resting State Cortical Networks Specific to VTA and SNc: A Proof of Concept. Cerebral Cortex (New York, N.Y. : 1991). PMID 34448816 DOI: 10.1093/cercor/bhab273 |
0.642 |
|
2019 |
Ernst M, Gowin JL, Gaillard C, Philips RT, Grillon C. Sketching the Power of Machine Learning to Decrypt a Neural Systems Model of Behavior. Brain Sciences. 9. PMID 30897793 DOI: 10.3390/Brainsci9030067 |
0.496 |
|
2017 |
Philips RT, Sur M, Chakravarthy VS. The influence of astrocytes on the width of orientation hypercolumns in visual cortex: A computational perspective. Plos Computational Biology. 13: e1005785. PMID 29077710 DOI: 10.1371/Journal.Pcbi.1005785 |
0.605 |
|
2016 |
Philips RT, Chakravarthy VS. A Global Orientation Map in the Primary Visual Cortex (V1): Could a Self Organizing Model Reveal Its Hidden Bias? Frontiers in Neural Circuits. 10: 109. PMID 28111542 DOI: 10.3389/Fncir.2016.00109 |
0.626 |
|
2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Philips RT, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.613 |
|
2016 |
Philips RT, Chhabria K, Chakravarthy VS. Vascular Dynamics Aid a Coupled Neurovascular Network Learn Sparse Independent Features: A Computational Model. Frontiers in Neural Circuits. 10: 7. PMID 26955326 DOI: 10.3389/Fncir.2016.00007 |
0.576 |
|
2016 |
Philips RT, Chhabria K, Chakravarthy VS. Vascular dynamics aid a coupled neurovascular network learn sparse independent features: A computational model Frontiers in Neural Circuits. 10. DOI: 10.3389/fncir.2016.00007 |
0.549 |
|
2015 |
Philips RT, Chakravarthy VS. The mapping of eccentricity and meridional angle onto orthogonal axes in the primary visual cortex: an activity-dependent developmental model. Frontiers in Computational Neuroscience. 9: 3. PMID 25688204 DOI: 10.3389/Fncom.2015.00003 |
0.626 |
|
2015 |
Philips RT, Chakravarthy VS. The mapping of eccentricity and meridional angle onto orthogonal axes in the primary visual cortex: An activity-dependent developmental model Frontiers in Computational Neuroscience. 9. DOI: 10.3389/fncom.2015.00003 |
0.603 |
|
2015 |
Philips RT, Chakravarthy VS. Could the prior development of the retinotopic map account for the radial bias in the orientation map in V1? Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P27 |
0.619 |
|
2014 |
Philips RT, Chakravarthy VS. An activity-dependent computational model of development of the retinotopic map along the dorsoventral axis in the primary visual cortex Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P189 |
0.636 |
|
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