Year |
Citation |
Score |
2023 |
Chen K, Kashyap HJ, Krichmar JL, Li X. What can computer vision learn from visual neuroscience? Introduction to the special issue. Biological Cybernetics. 117: 297-298. PMID 37812267 DOI: 10.1007/s00422-023-00977-6 |
0.766 |
|
2023 |
Ahumada-Newhart V, Kashyap HJ, Hwu T, Tian Y, Mirzakhanian L, Minton M, Seader S, Hedden S, Moore D, Krichmar JL, Eccles JS. Evaluation of the Toyota Human Support Robot (HSR) for Social Interaction and Learning. International Journal of Technology, Knowledge and Society. 19: 21-52. PMID 37273904 DOI: 10.18848/1832-3669/cgp/v19i01/21-52 |
0.763 |
|
2022 |
Kopsick JD, Tecuatl C, Moradi K, Attili SM, Kashyap HJ, Xing J, Chen K, Krichmar JL, Ascoli GA. Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus. Cognitive Computation. 15: 1190-1210. PMID 37663748 DOI: 10.1007/s12559-021-09954-2 |
0.785 |
|
2022 |
Chen K, Beyeler M, Krichmar JL. Cortical motion perception emerges from dimensionality reduction with evolved spike-timing dependent plasticity rules. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 35732492 DOI: 10.1523/JNEUROSCI.0384-22.2022 |
0.703 |
|
2022 |
Krichmar JL, Hwu TJ. Design Principles for Neurorobotics. Frontiers in Neurorobotics. 16: 882518. PMID 35692490 DOI: 10.3389/fnbot.2022.882518 |
0.789 |
|
2020 |
Chen K, Hwu T, Kashyap HJ, Krichmar JL, Stewart K, Xing J, Zou X. Neurorobots as a Means Toward Neuroethology and Explainable AI. Frontiers in Neurorobotics. 14: 570308. PMID 33192435 DOI: 10.3389/fnbot.2020.570308 |
0.789 |
|
2020 |
Kashyap HJ, Fowlkes CC, Krichmar JL. Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes. Ieee Transactions On Neural Networks and Learning Systems. PMID 32687472 DOI: 10.1109/Tnnls.2020.3006467 |
0.759 |
|
2020 |
Zou X, Kolouri S, Pilly PK, Krichmar JL. Neuromodulated attention and goal-driven perception in uncertain domains. Neural Networks : the Official Journal of the International Neural Network Society. 125: 56-69. PMID 32070856 DOI: 10.1016/J.Neunet.2020.01.031 |
0.334 |
|
2020 |
Belkaid M, Krichmar JL. Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine. Neural Networks : the Official Journal of the International Neural Network Society. 125: 10-18. PMID 32070852 DOI: 10.1016/J.Neunet.2020.01.032 |
0.352 |
|
2020 |
Balaji A, Catthoor F, Das A, Wu Y, Huynh K, Dell'Anna FG, Indiveri G, Krichmar JL, Dutt ND, Schaafsma S. Mapping Spiking Neural Networks to Neuromorphic Hardware Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 28: 76-86. DOI: 10.1109/Tvlsi.2019.2951493 |
0.508 |
|
2019 |
Hwu T, Krichmar JL. A neural model of schemas and memory encoding. Biological Cybernetics. PMID 31686197 DOI: 10.1007/S00422-019-00808-7 |
0.793 |
|
2019 |
Beyeler M, Rounds EL, Carlson KD, Dutt N, Krichmar JL. Neural correlates of sparse coding and dimensionality reduction. Plos Computational Biology. 15: e1006908. PMID 31246948 DOI: 10.1371/Journal.Pcbi.1006908 |
0.745 |
|
2019 |
Gaussier P, Banquet JP, Cuperlier N, Quoy M, Aubin L, Jacob PY, Sargolini F, Save E, Krichmar JL, Poucet B. Merging information in the entorhinal cortex: what can we learn from robotics experiments and modeling? The Journal of Experimental Biology. 222. PMID 30728231 DOI: 10.1242/Jeb.186932 |
0.33 |
|
2019 |
Balaji A, Song S, Das A, Dutt N, Krichmar J, Kandasamy N, Catthoor F. A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing Ieee Computer Architecture Letters. 18: 149-152. DOI: 10.1109/Lca.2019.2951507 |
0.49 |
|
2018 |
Detorakis G, Sheik S, Augustine C, Paul S, Pedroni BU, Dutt N, Krichmar J, Cauwenberghs G, Neftci E. Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. Frontiers in Neuroscience. 12: 583. PMID 30210274 DOI: 10.3389/Fnins.2018.00583 |
0.553 |
|
2018 |
Krichmar JL. Neurorobotics-A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots. Frontiers in Neurorobotics. 12: 42. PMID 30061820 DOI: 10.3389/Fnbot.2018.00042 |
0.366 |
|
2018 |
Rounds EL, Alexander AS, Nitz DA, Krichmar JL. Conjunctive coding in an evolved spiking model of retrosplenial cortex. Behavioral Neuroscience. PMID 29863371 DOI: 10.1037/Bne0000236 |
0.413 |
|
2018 |
Venkadesh S, Komendantov AO, Listopad S, Scott EO, De Jong K, Krichmar JL, Ascoli GA. Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types. Frontiers in Neuroinformatics. 12: 8. PMID 29593519 DOI: 10.3389/Fninf.2018.00008 |
0.378 |
|
2018 |
Das A, Pradhapan P, Groenendaal W, Adiraju P, Rajan RT, Catthoor F, Schaafsma S, Krichmar JL, Dutt N, Van Hoof C. Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout. Neural Networks : the Official Journal of the International Neural Network Society. 99: 134-147. PMID 29414535 DOI: 10.1016/J.Neunet.2017.12.015 |
0.527 |
|
2018 |
Hwu T, Wang AY, Oros N, Krichmar JL. Adaptive Robot Path Planning Using a Spiking Neuron Algorithm With Axonal Delays Ieee Transactions On Cognitive and Developmental Systems. 10: 126-137. DOI: 10.1109/Tcds.2017.2655539 |
0.77 |
|
2017 |
Avery MC, Krichmar JL. Neuromodulatory Systems and Their Interactions: A Review of Models, Theories, and Experiments. Frontiers in Neural Circuits. 11: 108. PMID 29311844 DOI: 10.3389/Fncir.2017.00108 |
0.562 |
|
2017 |
Craig AB, Grossman E, Krichmar JL. Investigation of autistic traits through strategic decision-making in games with adaptive agents. Scientific Reports. 7: 5533. PMID 28717229 DOI: 10.1038/S41598-017-05933-6 |
0.306 |
|
2017 |
Oess T, Krichmar JL, Röhrbein F. A Computational Model for Spatial Navigation Based on Reference Frames in the Hippocampus, Retrosplenial Cortex, and Posterior Parietal Cortex. Frontiers in Neurorobotics. 11: 4. PMID 28223931 DOI: 10.3389/Fnbot.2017.00004 |
0.375 |
|
2016 |
Beyeler M, Dutt N, Krichmar JL. 3D Visual Response Properties of MSTd Emerge from an Efficient, Sparse Population Code. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 8399-415. PMID 27511012 DOI: 10.1523/Jneurosci.0396-16.2016 |
0.74 |
|
2016 |
Craig AB, Phillips ME, Zaldivar A, Bhattacharyya R, Krichmar JL. Investigation of Biases and Compensatory Strategies Using a Probabilistic Variant of the Wisconsin Card Sorting Test. Frontiers in Psychology. 7: 17. PMID 26834686 DOI: 10.3389/Fpsyg.2016.00017 |
0.72 |
|
2015 |
Beyeler M, Oros N, Dutt N, Krichmar JL. A GPU-accelerated cortical neural network model for visually guided robot navigation. Neural Networks : the Official Journal of the International Neural Network Society. PMID 26494281 DOI: 10.1016/J.Neunet.2015.09.005 |
0.809 |
|
2015 |
Chou TS, Bucci LD, Krichmar JL. Learning touch preferences with a tactile robot using dopamine modulated STDP in a model of insular cortex. Frontiers in Neurorobotics. 9: 6. PMID 26257639 DOI: 10.3389/Fnbot.2015.00006 |
0.404 |
|
2015 |
Asher DE, Oros N, Krichmar JL. The Importance of Lateral Connections in the Parietal Cortex for Generating Motor Plans. Plos One. 10: e0134669. PMID 26252871 DOI: 10.1371/Journal.Pone.0134669 |
0.779 |
|
2015 |
Avery MC, Krichmar JL. Improper activation of D1 and D2 receptors leads to excess noise in prefrontal cortex. Frontiers in Computational Neuroscience. 9: 31. PMID 25814948 DOI: 10.3389/Fncom.2015.00031 |
0.522 |
|
2015 |
Krichmar JL, Coussy P, Dutt N. Large-scale spiking neural networks using neuromorphic hardware compatible models Acm Journal On Emerging Technologies in Computing Systems. 11. DOI: 10.1145/2629509 |
0.583 |
|
2015 |
Beyeler M, Carlson KD, Chou TS, Dutt N, Krichmar JL. CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280424 |
0.706 |
|
2014 |
Zaldivar A, Krichmar JL. Allen Brain Atlas-Driven Visualizations: a web-based gene expression energy visualization tool. Frontiers in Neuroinformatics. 8: 51. PMID 24904397 DOI: 10.3389/Fninf.2014.00051 |
0.712 |
|
2014 |
Carlson KD, Nageswaran JM, Dutt N, Krichmar JL. An efficient automated parameter tuning framework for spiking neural networks. Frontiers in Neuroscience. 8: 10. PMID 24550771 DOI: 10.3389/Fnins.2014.00010 |
0.568 |
|
2014 |
Beyeler M, Richert M, Dutt ND, Krichmar JL. Efficient spiking neural network model of pattern motion selectivity in visual cortex. Neuroinformatics. 12: 435-54. PMID 24497233 DOI: 10.1007/S12021-014-9220-Y |
0.805 |
|
2014 |
Oros N, Chiba AA, Nitz DA, Krichmar JL. Learning to ignore: a modeling study of a decremental cholinergic pathway and its influence on attention and learning. Learning & Memory (Cold Spring Harbor, N.Y.). 21: 105-18. PMID 24443744 DOI: 10.1101/Lm.032433.113 |
0.774 |
|
2014 |
Avery MC, Dutt N, Krichmar JL. Mechanisms underlying the basal forebrain enhancement of top-down and bottom-up attention. The European Journal of Neuroscience. 39: 852-65. PMID 24304003 DOI: 10.1111/Ejn.12433 |
0.655 |
|
2014 |
Asher DE, Krichmar JL, Oros N. Evolution of biologically plausible neural networks performing a visually guided reaching task Gecco 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference. 145-152. DOI: 10.1145/2576768.2598368 |
0.777 |
|
2014 |
Carlson KD, Beyeler M, Dutt N, Krichmar JL. GPGPU accelerated simulation and parameter tuning for neuromorphic applications Proceedings of the Asia and South Pacific Design Automation Conference, Asp-Dac. 570-577. DOI: 10.1109/ASPDAC.2014.6742952 |
0.687 |
|
2013 |
Asher DE, Craig AB, Zaldivar A, Brewer AA, Krichmar JL. A dynamic, embodied paradigm to investigate the role of serotonin in decision-making. Frontiers in Integrative Neuroscience. 7: 78. PMID 24319413 DOI: 10.3389/Fnint.2013.00078 |
0.75 |
|
2013 |
Avery MC, Dutt N, Krichmar JL. A large-scale neural network model of the influence of neuromodulatory levels on working memory and behavior. Frontiers in Computational Neuroscience. 7: 133. PMID 24106474 DOI: 10.3389/Fncom.2013.00133 |
0.661 |
|
2013 |
Krichmar JL, Röhrbein F. Value and reward based learning in neurorobots. Frontiers in Neurorobotics. 7: 13. PMID 24062683 DOI: 10.3389/Fnbot.2013.00013 |
0.406 |
|
2013 |
Beyeler M, Dutt ND, Krichmar JL. Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule. Neural Networks : the Official Journal of the International Neural Network Society. 48: 109-24. PMID 23994510 DOI: 10.1016/J.Neunet.2013.07.012 |
0.771 |
|
2013 |
Krichmar JL. A neurorobotic platform to test the influence of neuromodulatory signaling on anxious and curious behavior. Frontiers in Neurorobotics. 7: 1. PMID 23386829 DOI: 10.3389/Fnbot.2013.00001 |
0.35 |
|
2013 |
Zaldivar A, Krichmar JL. Interactions between the neuromodulatory systems and the amygdala: exploratory survey using the Allen Mouse Brain Atlas. Brain Structure & Function. 218: 1513-30. PMID 23143393 DOI: 10.1007/S00429-012-0473-7 |
0.709 |
|
2013 |
Craig AB, Asher DE, Oros N, Brewer AA, Krichmar JL. Social contracts and human-computer interaction with simulated adapting agents Adaptive Behavior. 21: 371-387. DOI: 10.1177/1059712313491612 |
0.756 |
|
2013 |
Carlson KD, Richert M, Dutt N, Krichmar JL. Biologically plausible models of homeostasis and STDP: Stability and learning in spiking neural networks Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6706961 |
0.673 |
|
2013 |
Phillips ME, Avery MC, Krichmar JL, Bhattacharya R. Top-down executive control drives reticular-thalamic inhibition and relays cortical information in a large-scale neurocognitive model Flairs 2013 - Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference. 106-111. |
0.478 |
|
2012 |
Avery MC, Nitz DA, Chiba AA, Krichmar JL. Simulation of cholinergic and noradrenergic modulation of behavior in uncertain environments. Frontiers in Computational Neuroscience. 6: 5. PMID 22319488 DOI: 10.3389/Fncom.2012.00005 |
0.598 |
|
2012 |
Harris F, Krichmar J, Siegelmann H, Wagatsuma H. Guest editorial: Biologically inspired human-robot interactionsdeveloping more natural ways to communicate with our machines Ieee Transactions On Autonomous Mental Development. 4: 190-191. DOI: 10.1109/Tamd.2012.2216703 |
0.328 |
|
2012 |
Asher DE, Zaldivar A, Barton B, Brewer AA, Krichmar JL. Reciprocity and retaliation in social games with adaptive agents Ieee Transactions On Autonomous Mental Development. 4: 226-238. DOI: 10.1109/Tamd.2012.2202658 |
0.782 |
|
2012 |
Avery M, Krichmar JL, Dutt N. Spiking neuron model of basal forebrain enhancement of visual attention Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252578 |
0.625 |
|
2012 |
Oros N, Krichmar JL. Neuromodulation, attention and localization using a novel Android™ robotic platform 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012. DOI: 10.1109/DevLrn.2012.6400813 |
0.755 |
|
2012 |
Chelian SE, Oros N, Zaldivar A, Krichmar JL, Bhattacharyya R. Model of the interactions between neuromodulators and prefrontal cortex during a resource allocation task 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012. DOI: 10.1109/DevLrn.2012.6400811 |
0.763 |
|
2011 |
Richert M, Nageswaran JM, Dutt N, Krichmar JL. An efficient simulation environment for modeling large-scale cortical processing. Frontiers in Neuroinformatics. 5: 19. PMID 22007166 DOI: 10.3389/Fninf.2011.00019 |
0.701 |
|
2011 |
Krichmar JL, Dutt N, Nageswaran JM, Richert M. Neuromorphic modeling abstractions and simulation of large-scale cortical networks Ieee/Acm International Conference On Computer-Aided Design, Digest of Technical Papers, Iccad. 334-338. DOI: 10.1109/ICCAD.2011.6105350 |
0.656 |
|
2010 |
Nageswaran JM, Richert M, Dutt N, Krichmar JL. Towards reverse engineering the brain: Modeling abstractions and simulation frameworks Proceedings of the 2010 18th Ieee/Ifip International Conference On Vlsi and System-On-Chip, Vlsi-Soc 2010. 1-6. DOI: 10.1109/VLSISOC.2010.5642630 |
0.641 |
|
2010 |
Asher DE, Zaldivar A, Krichmar JL. Effect of neuromodulation on performance in game playing: A modeling study 2010 Ieee 9th International Conference On Development and Learning, Icdl-2010 - Conference Program. 155-160. DOI: 10.1109/DEVLRN.2010.5578851 |
0.76 |
|
2010 |
Zaldivar A, Asher DE, Krichmar JL. Simulation of how neuromodulation influences cooperative behavior Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6226: 649-660. DOI: 10.1007/978-3-642-15193-4_61 |
0.768 |
|
2009 |
Nageswaran JM, Dutt N, Krichmar JL, Nicolau A, Veidenbaum AV. A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors. Neural Networks : the Official Journal of the International Neural Network Society. 22: 791-800. PMID 19615853 DOI: 10.1016/J.Neunet.2009.06.028 |
0.555 |
|
2009 |
Cox BR, Krichmar JL. Neuromodulation as a robot controller: A brain-inspired strategy for controlling autonomous robots Ieee Robotics and Automation Magazine. 16: 72-80. DOI: 10.1109/Mra.2009.933628 |
0.389 |
|
2009 |
Browne W, Kawamura K, Krichmar J, Harwin W, Wagatsuma H. Cognitive robotics: New insights into robot and human intelligence by reverse engineering brain functions [From the Guest Editors] Ieee Robotics and Automation Magazine. 16: 17-18. DOI: 10.1109/Mra.2009.933617 |
0.343 |
|
2009 |
Nageswaran JM, Dutt N, Krichmar JL, Nicolau A, Veidenbaum A. Efficient simulation of large-scale spiking Neural networks using cuda Graphics processors Proceedings of the International Joint Conference On Neural Networks. 2145-2152. DOI: 10.1109/IJCNN.2009.5179043 |
0.466 |
|
2008 |
McKinstry JL, Seth AK, Edelman GM, Krichmar JL. Embodied models of delayed neural responses: spatiotemporal categorization and predictive motor control in brain based devices. Neural Networks : the Official Journal of the International Neural Network Society. 21: 553-61. PMID 18495424 DOI: 10.1016/J.Neunet.2008.01.004 |
0.759 |
|
2008 |
Krichmar JL. The neuromodulatory system: A framework for survival and adaptive behavior in a challenging world Adaptive Behavior. 16: 385-399. DOI: 10.1177/1059712308095775 |
0.324 |
|
2008 |
Krichmar JL, Edelman GM. Design principles and constraints underlying the construction of brain-based devices Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4985: 157-166. DOI: 10.1007/978-3-540-69162-4_17 |
0.532 |
|
2007 |
Fleischer JG, Krichmar JL. Sensory integration and remapping in a model of the medial temporal lobe during maze navigation by a brain-based device. Journal of Integrative Neuroscience. 6: 403-31. PMID 17933019 DOI: 10.1142/S0219635207001568 |
0.804 |
|
2007 |
Albus JS, Bekey GA, Holland JH, Kanwisher NG, Krichmar JL, Mishkin M, Modha DS, Raichle ME, Shepherd GM, Tononi G. A proposal for a Decade of the Mind initiative. Science (New York, N.Y.). 317: 1321. PMID 17823330 DOI: 10.1126/Science.317.5843.1321B |
0.488 |
|
2007 |
Fleischer JG, Gally JA, Edelman GM, Krichmar JL. Retrospective and prospective responses arising in a modeled hippocampus during maze navigation by a brain-based device. Proceedings of the National Academy of Sciences of the United States of America. 104: 3556-61. PMID 17360681 DOI: 10.1073/Pnas.0611571104 |
0.799 |
|
2006 |
McKinstry JL, Edelman GM, Krichmar JL. A cerebellar model for predictive motor control tested in a brain-based device. Proceedings of the National Academy of Sciences of the United States of America. 103: 3387-92. PMID 16488974 DOI: 10.1073/Pnas.0511281103 |
0.651 |
|
2006 |
Fleischer J, Szatmáry B, Hutson D, Moore D, Snook J, Edelman GM, Krichmar J. A neurally controlled robot competes and cooperates with humans in Segway soccer Proceedings - Ieee International Conference On Robotics and Automation. 2006: 3673-3678. DOI: 10.1109/ROBOT.2006.1642263 |
0.782 |
|
2006 |
Krichmar JL, Edelman GM. Principles underlying the construction of brain-based devices Proceedings of Aisb'06: Adaptation in Artificial and Biological Systems. 2: 37-42. |
0.535 |
|
2005 |
Krichmar JL, Seth AK, Nitz DA, Fleischer JG, Edelman GM. Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions. Neuroinformatics. 3: 197-221. PMID 16077159 DOI: 10.1385/Ni:3:3:197 |
0.793 |
|
2005 |
Seth AK, Sporns O, Krichmar JL. Neurorobotic models in neuroscience and neuroinformatics. Neuroinformatics. 3: 167-70. PMID 16077157 DOI: 10.1385/Ni:3:3:167 |
0.669 |
|
2005 |
Krichmar JL, Edelman GM. Brain-based devices for the study of nervous systems and the development of intelligent machines. Artificial Life. 11: 63-77. PMID 15811220 DOI: 10.1162/1064546053278946 |
0.633 |
|
2005 |
Krichmar JL, Nitz DA, Gally JA, Edelman GM. Characterizing functional hippocampal pathways in a brain-based device as it solves a spatial memory task. Proceedings of the National Academy of Sciences of the United States of America. 102: 2111-6. PMID 15684078 DOI: 10.1073/Pnas.0409792102 |
0.665 |
|
2004 |
Seth AK, McKinstry JL, Edelman GM, Krichmar JL. Visual binding through reentrant connectivity and dynamic synchronization in a brain-based device. Cerebral Cortex (New York, N.Y. : 1991). 14: 1185-99. PMID 15142952 DOI: 10.1093/Cercor/Bhh079 |
0.754 |
|
2004 |
Seth A, McKinstry J, Edelman G, Krichmar J. Active Sensing of Visual and Tactile Stimuli by Brain-based Devices International Journal of Robotics and Automation. 19. DOI: 10.2316/Journal.206.2004.4.206-2802 |
0.704 |
|
2004 |
Seth AK, McKinstry JL, Edelman GM, Krichmar JL. Texture discrimination by an autonomous mobile brain-based device with whiskers Proceedings - Ieee International Conference On Robotics and Automation. 2004: 4925-4930. |
0.544 |
|
2004 |
Seth AK, McKinstry JL, Edelman GM, Krichmar JL. Active sensing of visual and tactile stimuli by brain-based devices International Journal of Robotics and Automation. 19: 222-238. |
0.557 |
|
2003 |
Krichmar JL, Edelman GM. Brain-Based Devices: Intelligent Systems Based on Principles of the Nervous System Ieee International Conference On Intelligent Robots and Systems. 1: 940-945. |
0.537 |
|
2002 |
Krichmar JL, Edelman GM. Machine psychology: autonomous behavior, perceptual categorization and conditioning in a brain-based device. Cerebral Cortex (New York, N.Y. : 1991). 12: 818-30. PMID 12122030 DOI: 10.1093/Cercor/12.8.818 |
0.657 |
|
2001 |
Ascoli GA, Krichmar JL, Scorcioni R, Nasuto SJ, Senft SL. Computer generation and quantitative morphometric analysis of virtual neurons. Anatomy and Embryology. 204: 283-301. PMID 11720234 DOI: 10.1007/S004290100201 |
0.319 |
|
2001 |
Ascoli GA, Krichmar JL, Nasuto SJ, Senft SL. Generation, description and storage of dendritic morphology data. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 356: 1131-45. PMID 11545695 DOI: 10.1098/Rstb.2001.0905 |
0.317 |
|
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