Jeffrey L. Krichmar, Ph.D. - Publications

Affiliations: 
Cognitive Sciences University of California, Irvine, Irvine, CA 
Area:
Computational neuroscience, cognitive robotics

84 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
2014 Bucci LD, Chou TS, Krichmar JL. Sensory decoding in a tactile, interactive neurorobot Proceedings - Ieee International Conference On Robotics and Automation. 1909-1914. DOI: 10.1109/ICRA.2014.6907111  1
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  1
2014 Ziegler MD, Chelian SE, Benvenuto J, Krichmar JL, O'Reilly R, Bhattacharyya R. A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system Biologically Inspired Cognitive Architectures. 10: 61-67. DOI: 10.1016/j.bica.2014.11.008  1
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  1
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  1
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  0.01
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  1
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  1
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  1
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  1
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  1
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.  1
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  1
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  1
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  1
2012 Krichmar JL. A biologically inspired action selection algorithm based on principles of neuromodulation Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252633  1
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  1
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  1
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  1
2012 Krichmar JL. Design principles for biologically inspired cognitive robotics Biologically Inspired Cognitive Architectures. 1: 73-81. DOI: 10.1016/j.bica.2012.04.003  1
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  1
2011 Krichmar JL, Wagatsuma H. Neuromorphic and brain-based robots Frontiers in Artificial Intelligence and Applications. 233: 209-214. DOI: 10.3233/978-1-60750-959-2-209  1
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  1
2011 Krichmar JL, Wagatsuma H. History and potential of neuromorphic robotics Neuromorphic and Brain-Based Robots. 3-7. DOI: 10.1017/CBO9780511994838.002  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
2008 Krichmar JL. Neuromodulation and time-dependent plasticity in a model of foraging behavior 2008 Ieee 7th International Conference On Development and Learning, Icdl. 168-173. DOI: 10.1109/DEVLRN.2008.4640824  1
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  1
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  1
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  1
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  1
2006 Krichmar JL, Velasquez D, Ascoli GA. Effects of beta-catenin on dendritic morphology and simulated firing patterns in cultured hippocampal neurons. The Biological Bulletin. 211: 31-43. PMID 16946239  1
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  1
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  1
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.  1
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  1
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  1
2005 Rowland LM, Thomas ML, Thorne DR, Sing HC, Krichmar JL, Davis HQ, Balwinski SM, Peters RD, Kloeppel-Wagner E, Redmond DP, Alicandri E, Belenky G. Oculomotor responses during partial and total sleep deprivation. Aviation, Space, and Environmental Medicine. 76: C104-13. PMID 16018336  1
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  1
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  1
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  1
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.  1
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.  1
2003 Russo M, Thomas M, Thorne D, Sing H, Redmond D, Rowland L, Johnson D, Hall S, Krichmar J, Balkin T. Oculomotor impairment during chronic partial sleep deprivation Clinical Neurophysiology. 114: 723-736. PMID 12686280 DOI: 10.1016/S1388-2457(03)00008-7  1
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.  1
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  1
2002 Krichmar JL, Nasuto SJ, Scorcioni R, Washington SD, Ascoli GA. Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study. Brain Research. 941: 11-28. PMID 12031543 DOI: 10.1016/S0006-8993(02)02488-5  1
2002 Krichmar JL, Snook JA. A neural approach to adaptive behavior and multi-sensor action selection in a mobile device Proceedings - Ieee International Conference On Robotics and Automation. 4: 3864-3869.  1
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  1
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  1
2001 Nasuto SJ, Knape RM, Krichmar JL, Ascoli GA. Relation between neuronal morphology and electrophysiology in the Kainate lesion model of Alzheimer's disease Neurocomputing. 38: 1477-1487. DOI: 10.1016/S0925-2312(01)00507-0  1
2000 Ascoli GA, Krichmar JL. L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology Neurocomputing. 32: 1003-1011. DOI: 10.1016/S0925-2312(00)00272-1  1
2000 Washington SD, Ascoli GA, Krichmar JL. A statistical analysis of dendritic morphology's effect on neuron electrophysiology of CA3 pyramidal cells Neurocomputing. 32: 261-269. DOI: 10.1016/S0925-2312(00)00173-9  1
1999 Krichmar JL, Blackwell KT, Barbour GS, Golovan AB, Vogl TP. A solution to the feature correspondence problem inspired by visual scanpaths Neurocomputing. 26: 769-778. DOI: 10.1016/S0925-2312(98)00146-5  1
1997 Krichmar JL, Thomas ML, Rowland L, Sing HC, Thorne DR. Pupil dynamics and eye movements as indicators of fatigue and sleepiness Investigative Ophthalmology and Visual Science. 38: S71.  1
1997 Krichmar JL, Ascoli GA, Hunter L, Olds JL. A model of cerebellar saccadie motor learning using qualitative reasoning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1240: 133-145.  1
1994 Krichmar JL. Qualitative reasoning neural modeling: Hodgkin-Huxley squid axon revisited Artificial Neural Networks in Engineering - Proceedings (Annie'94). 4: 567-572.  1
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