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ORCIDJeffrey L. Krichmar
Jeff Krichmar
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- affiliation: University of California Irvine, Department of Cognitive Sciences, CA, USA
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2020 – today
- 2025
[e1]Oliver Brock, Jeffrey L. Krichmar:
From Animals to Animats 17 - 17th International Conference on Simulation of Adaptive Behavior, SAB 2024, Irvine, CA, USA, September 9-12, 2024, Proceedings. Lecture Notes in Computer Science 14993, Springer 2025, ISBN 978-3-031-71532-7 [contents]- 2024
- [j61]Harrison Espino
, Robert Bain, Jeffrey L. Krichmar:
A Rapid Adapting and Continual Learning Spiking Neural Network Path Planning Algorithm for Mobile Robots. IEEE Robotics Autom. Lett. 9(11): 9542-9549 (2024) - [c53]Nicholas Alonso, Jeffrey L. Krichmar, Emre Neftci:
Understanding and Improving Optimization in Predictive Coding Networks. AAAI 2024: 10812-10820 - [c52]Grace Pan, Thea Weiss, Seyed Amirhosein Mohaddesi, John W. Szura, Jeffrey L. Krichmar:
Navigation and Cognitive Load in Telepresence Robots. ICDL 2024: 1-6 - [c51]Harrison Espino, Jeffrey L. Krichmar:
Vector-Based Navigation Inspired by Directional Place Cells. SAB 2024: 27-38 - [c50]Seyed A. Mohaddesi, Mary Hegarty, Elizabeth R. Chrastil, Jeffrey L. Krichmar:
Benefit of Varying Navigation Strategies in Robot Teams. SAB 2024: 63-77 - [c49]Michael A. Pfeiffer, Sriskandha Kandimalla, Jiahe Liu, Katherine Hsu, Eleanore J. Kirshner, Alina Yuan, Hin Wai Lui, Jeffrey L. Krichmar:
CuttleBot: Emulating Cuttlefish Behavior and Intelligence in a Novel Robot Design. SAB 2024: 93-105 - [c48]Hongju Pae, Jeffrey L. Krichmar:
Integrated Information in Genetically Evolved Braitenberg Vehicles. SAB 2024: 236-247 - [i26]Lars Niedermeier, Jeffrey L. Krichmar:
An Integrated Toolbox for Creating Neuromorphic Edge Applications. CoRR abs/2404.08726 (2024) - [i25]Harrison Espino, Robert Bain, Jeffrey L. Krichmar:
A Rapid Adapting and Continual Learning Spiking Neural Network Path Planning Algorithm for Mobile Robots. CoRR abs/2404.15524 (2024) - 2023
- [j60]Kexin Chen, Hirak J. Kashyap, Jeffrey L. Krichmar, Xiumin Li:
What can computer vision learn from visual neuroscience? Introduction to the special issue. Biol. Cybern. 117(4): 297-298 (2023) - [j59]Jeffrey D. Kopsick, Carolina Tecuatl, Keivan Moradi, Sarojini M. Attili, Hirak J. Kashyap, Jinwei Xing, Kexin Chen, Jeffrey L. Krichmar, Giorgio A. Ascoli:
Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus. Cogn. Comput. 15(4): 1190-1210 (2023) - [j58]Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks 161: 228-241 (2023) - [j57]Adarsha Balaji, Phu Khanh Huynh, Francky Catthoor, Nikil D. Dutt, Jeffrey L. Krichmar, Anup Das:
NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware. IEEE Trans. Emerg. Top. Comput. 11(2): 373-387 (2023) - [j56]Jeffrey L. Krichmar, Chuanxiuyue He:
Importance of Path Planning Variability: A Simulation Study. Top. Cogn. Sci. 15(1): 139-162 (2023) - [c47]Harrison Espino, Robert Bain, Jeffrey L. Krichmar:
Selective Memory Replay Improves Exploration in a Spiking Wavefront Planner. IJCNN 2023: 1-8 - [c46]Lars Niedermeier, Jeffrey L. Krichmar:
Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations. IJCNN 2023: 1-9 - [i24]Nick Alonso, Jeff Krichmar, Emre Neftci:
Understanding and Improving Optimization in Predictive Coding Networks. CoRR abs/2305.13562 (2023) - [i23]Nick Alonso, Jeff Krichmar:
A Sparse Quantized Hopfield Network for Online-Continual Memory. CoRR abs/2307.15040 (2023) - 2022
- [j55]Jeffrey L. Krichmar, Tiffany Hwu:
Design Principles for Neurorobotics. Frontiers Neurorobotics 16: 882518 (2022) - [j54]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j53]Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2045-2056 (2022) - [j52]Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Parallel Distributed Syst. 33(2): 288-301 (2022) - [c45]Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar:
CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. IJCNN 2022: 1-10 - [c44]Nick Alonso, Beren Millidge, Jeffrey L. Krichmar, Emre O. Neftci:
A Theoretical Framework for Inference Learning. NeurIPS 2022 - [c43]Jinwei Xing, Xinyun Zou, Praveen K. Pilly, Nicholas A. Ketz, Jeffrey L. Krichmar:
Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning. SAB 2022: 115-126 - [c42]Jeffrey L. Krichmar, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error. SAB 2022: 177-189 - [i22]Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability. CoRR abs/2205.08685 (2022) - [i21]Nick Alonso, Beren Millidge, Jeff Krichmar, Emre Neftci:
A Theoretical Framework for Inference Learning. CoRR abs/2206.00164 (2022) - 2021
- [j51]Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. IEEE Embed. Syst. Lett. 13(3): 142-145 (2021) - [j50]Jeffrey L. Krichmar, James Leland Olds, Juan Vicente Sánchez-Andrés, Huajin Tang:
Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives. Frontiers Neurorobotics 15: 731733 (2021) - [j49]Jeffrey L. Krichmar:
Gerald Edelman's Steps Toward a Conscious Artifact. J. Artif. Intell. Conscious. 8(2): 325-333 (2021) - [j48]Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Dynamic Reliability Management in Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 17(4): 63:1-63:27 (2021) - [j47]Hirak Jyoti Kashyap, Charless C. Fowlkes, Jeffrey L. Krichmar:
Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2521-2534 (2021) - [c41]Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. AAAI 2021: 10452-10459 - [c40]Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar:
Neuroevolution of a recurrent neural network for spatial and working memory in a simulated robotic environment. GECCO Companion 2021: 289-290 - [c39]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. ICONS 2021: 10:1-10:9 - [c38]Kexin Chen, Alexander B. Johnson, Eric O. Scott, Xinyun Zou, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar:
Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks. IJCNN 2021: 1-8 - [i20]Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. CoRR abs/2102.05714 (2021) - [i19]Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar:
Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment. CoRR abs/2102.12638 (2021) - [i18]Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2103.05707 (2021) - [i17]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. CoRR abs/2105.01795 (2021) - [i16]Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Dynamic Reliability Management in Neuromorphic Computing. CoRR abs/2105.02038 (2021) - [i15]Jeffrey L. Krichmar:
Edelman's Steps Toward a Conscious Artifact. CoRR abs/2105.10461 (2021) - 2020
- [j46]Tiffany Hwu, Jeffrey L. Krichmar:
A neural model of schemas and memory encoding. Biol. Cybern. 114(2): 169-186 (2020) - [j45]Kexin Chen, Tiffany Hwu, Hirak Jyoti Kashyap, Jeffrey L. Krichmar, Kenneth Michael Stewart, Jinwei Xing, Xinyun Zou:
Neurorobots as a Means Toward Neuroethology and Explainable AI. Frontiers Neurorobotics 14: 570308 (2020) - [j44]Marwen Belkaid, Jeffrey L. Krichmar:
Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine. Neural Networks 125: 10-18 (2020) - [j43]Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar:
Neuromodulated attention and goal-driven perception in uncertain domains. Neural Networks 125: 56-69 (2020) - [j42]Andrea A. Chiba, Jeffrey L. Krichmar:
Neurobiologically Inspired Self-Monitoring Systems. Proc. IEEE 108(7): 976-986 (2020) - [j41]Adarsha Balaji, Francky Catthoor, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma:
Mapping Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Very Large Scale Integr. Syst. 28(1): 76-86 (2020) - [c37]Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor:
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. IJCNN 2020: 1-10 - [c36]Tiffany Hwu, Hirak Jyoti Kashyap, Jeffrey L. Krichmar:
A Neurobiological Schema Model for Contextual Awareness in Robotics. IJCNN 2020: 1-8 - [c35]Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar:
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. IJCNN 2020: 1-8 - [c34]Xinyun Zou, Tiffany Hwu, Jeffrey L. Krichmar, Emre Neftci:
Terrain Classification with a Reservoir-Based Network of Spiking Neurons. ISCAS 2020: 1-5 - [i14]Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor:
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. CoRR abs/2003.09696 (2020) - [i13]Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. CoRR abs/2009.09298 (2020)
2010 – 2019
- 2019
- [j40]Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor:
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. IEEE Comput. Archit. Lett. 18(2): 149-152 (2019) - [j39]Jeffrey L. Krichmar, Tiffany Hwu, Xinyun Zou, Todd Hylton:
Advantage of prediction and mental imagery for goal-directed behaviour in agents and robots. Cogn. Comput. Syst. 1(1): 12-19 (2019) - [j38]Michael Beyeler, Emily L. Rounds, Kristofor D. Carlson, Nikil D. Dutt, Jeffrey L. Krichmar:
Neural correlates of sparse coding and dimensionality reduction. PLoS Comput. Biol. 15(6) (2019) - [c33]Jeffrey L. Krichmar:
A Neurobiologically Inspired Plan Towards Cognitive Machines. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - [i12]Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar:
Neuromodulated Goal-Driven Perception in Uncertain Domains. CoRR abs/1903.00068 (2019) - [i11]Hirak Jyoti Kashyap, Charless C. Fowlkes, Jeffrey L. Krichmar:
Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes. CoRR abs/1903.03731 (2019) - [i10]Soheil Kolouri, Nicholas Ketz, Xinyun Zou, Jeffrey L. Krichmar, Praveen K. Pilly:
Attention-Based Structural-Plasticity. CoRR abs/1903.06070 (2019) - [i9]Adarsha Balaji, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma, Francky Catthoor:
Mapping Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/1909.01843 (2019) - [i8]Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar:
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. CoRR abs/1909.06533 (2019) - [i7]Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. CoRR abs/1909.09902 (2019) - [i6]Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeffrey L. Krichmar, Nagarajan Kandasamy, Francky Catthoor:
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. CoRR abs/1911.00548 (2019) - [i5]Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik:
Thermodynamic Computing. CoRR abs/1911.01968 (2019) - 2018
- [j37]Siva Venkadesh, Alexander O. Komendantov, Stanislav Listopad, Eric O. Scott, Kenneth A. De Jong, Jeffrey L. Krichmar, Giorgio A. Ascoli:
Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types. Frontiers Neuroinformatics 12: 8 (2018) - [j36]Jeffrey L. Krichmar:
Neurorobotics - A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots. Frontiers Neurorobotics 12: 42 (2018) - [j35]Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof:
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout. Neural Networks 99: 134-147 (2018) - [j34]Huajin Tang, Tiejun Huang, Jeffrey L. Krichmar, Garrick Orchard, Arindam Basu:
Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems. IEEE Trans. Cogn. Dev. Syst. 10(2): 122-125 (2018) - [j33]Tiffany Hwu, Alexander Y. Wang, Nicolas Oros, Jeffrey L. Krichmar:
Adaptive Robot Path Planning Using a Spiking Neuron Algorithm With Axonal Delays. IEEE Trans. Cogn. Dev. Syst. 10(2): 126-137 (2018) - [c32]Jeffrey L. Krichmar, Ting-Shuo Chou:
A Tactile Robot for Developmental Disorder Therapy. APAScience 2018: 20:1-20:6 - [c31]Ting-Shuo Chou, Hirak Jyoti Kashyap, Jinwei Xing, Stanislav Listopad, Emily L. Rounds, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar:
CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters. IJCNN 2018: 1-8 - [c30]Hirak Jyoti Kashyap, Georgios Detorakis, Nikil D. Dutt, Jeffrey L. Krichmar, Emre Neftci:
A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates. IJCNN 2018: 1-8 - [i4]Jeffrey L. Krichmar, William Severa, Salar M. Khan, James Leland Olds:
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future. CoRR abs/1812.01184 (2018) - 2017
- [j32]Timo Oess, Jeffrey L. Krichmar, Florian Röhrbein:
A Computational Model for Spatial Navigation Based on Reference Frames in the Hippocampus, Retrosplenial Cortex, and Posterior Parietal Cortex. Frontiers Neurorobotics 11: 4 (2017) - [c29]Tiffany Hwu, Jacob Isbell, Nicolas Oros, Jeffrey L. Krichmar:
A self-driving robot using deep convolutional neural networks on neuromorphic hardware. IJCNN 2017: 635-641 - [c28]Tiffany Hwu, Jeffrey L. Krichmar, Xinyun Zou:
A complete neuromorphic solution to outdoor navigation and path planning. ISCAS 2017: 1-4 - [i3]Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof:
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout. CoRR abs/1708.05356 (2017) - [i2]Georgios Detorakis, Sadique Sheik, Charles Augustine, Somnath Paul, Bruno U. Pedroni, Nikil D. Dutt, Jeffrey L. Krichmar, Gert Cauwenberghs, Emre Neftci:
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. CoRR abs/1709.10205 (2017) - 2016
- [c27]Jeffrey L. Krichmar:
Path planning using a spiking neuron algorithm with axonal delays. CEC 2016: 1219-1226 - [c26]Emily L. Rounds, Eric O. Scott, Andrew S. Alexander, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar:
An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks. PPSN 2016: 537-547 - [i1]Tiffany Hwu, Jacob Isbell, Nicolas Oros, Jeffrey L. Krichmar:
A Self-Driving Robot Using Deep Convolutional Neural Networks on Neuromorphic Hardware. CoRR abs/1611.01235 (2016) - 2015
- [j31]Michael C. Avery, Jeffrey L. Krichmar:
Improper activation of D1 and D2 receptors leads to excess noise in prefrontal cortex. Frontiers Comput. Neurosci. 9: 31 (2015) - [j30]Ting-Shuo Chou, Liam D. Bucci, Jeffrey L. Krichmar:
Learning touch preferences with a tactile robot using dopamine modulated STDP in a model of insular cortex. Frontiers Neurorobotics 9: 6 (2015) - [j29]Jeffrey L. Krichmar, Philippe Coussy, Nikil D. Dutt:
Large-Scale Spiking Neural Networks using Neuromorphic Hardware Compatible Models. ACM J. Emerg. Technol. Comput. Syst. 11(4): 36:1-36:18 (2015) - [j28]Jeffrey L. Krichmar, Jörg Conradt, Minoru Asada:
Neurobiologically Inspired Robotics: Enhanced Autonomy through Neuromorphic Cognition. Neural Networks 72: 1-2 (2015) - [j27]Michael Beyeler, Nicolas Oros, Nikil D. Dutt, Jeffrey L. Krichmar:
A GPU-accelerated cortical neural network model for visually guided robot navigation. Neural Networks 72: 75-87 (2015) - [c25]Michael Beyeler, Kristofor D. Carlson, Ting-Shuo Chou, Nikil D. Dutt, Jeffrey L. Krichmar:
CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks. IJCNN 2015: 1-8 - 2014
- [j26]Andrew Zaldivar, Jeffrey L. Krichmar:
Allen Brain Atlas-Driven Visualizations: a web-based gene expression energy visualization tool. Frontiers Neuroinformatics 8: 51 (2014) - [j25]Michael Beyeler, Micah Richert, Nikil D. Dutt, Jeffrey L. Krichmar:
Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex. Neuroinformatics 12(3): 435-454 (2014) - [c24]Kristofor D. Carlson, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar:
GPGPU accelerated simulation and parameter tuning for neuromorphic applications. ASP-DAC 2014: 570-577 - [c23]Derrik E. Asher, Jeffrey L. Krichmar, Nicolas Oros:
Evolution of biologically plausible neural networks performing a visually guided reaching task. GECCO 2014: 145-152 - [c22]Liam D. Bucci, Ting-Shuo Chou, Jeffrey L. Krichmar:
Sensory decoding in a tactile, interactive neurorobot. ICRA 2014: 1909-1914 - 2013
- [j24]Alexis B. Craig, Derrik E. Asher, Nicolas Oros, Alyssa A. Brewer, Jeffrey L. Krichmar:
Social contracts and human-computer interaction with simulated adapting agents. Adapt. Behav. 21(5): 371-387 (2013) - [j23]Jeffrey L. Krichmar:
The Cognitive Anteater Robotics Laboratory (CARL) at the University of California, Irvine. IEEE Intell. Informatics Bull. 14(1): 1-4 (2013) - [j22]Michael C. Avery, Nikil D. Dutt, Jeffrey L. Krichmar:
A large-scale neural network model of the influence of neuromodulatory levels on working memory and behavior. Frontiers Comput. Neurosci. 7: 133 (2013) - [j21]Jeffrey L. Krichmar:
A neurorobotic platform to test the influence of neuromodulatory signaling on anxious and curious behavior. Frontiers Neurorobotics 7: 1 (2013) - [j20]Jeffrey L. Krichmar, Florian Röhrbein:
Value and reward based learning in neurorobots. Frontiers Neurorobotics 7: 13 (2013) - [j19]Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar:
Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule. Neural Networks 48: 109-124 (2013) - [c21]Kristofor D. Carlson, Jayram Moorkanikara Nageswaran, Nikil D. Dutt, Jeffrey L. Krichmar:
Design space exploration and parameter tuning for neuromorphic applications. CODES+ISSS 2013: 20:1-20:2 - [c20]Matthew E. Phillips, Michael C. Avery, Jeffrey L. Krichmar, Rajan Bhattacharyya:
Top-Down Executive Control Drives Reticular-Thalamic Inhibition and Relays Cortical Information in a Large-Scale Neurocognitive Model. FLAIRS 2013 - [c19]Kristofor D. Carlson, Micah Richert, Nikil D. Dutt, Jeffrey L. Krichmar:
Biologically plausible models of homeostasis and STDP: Stability and learning in spiking neural networks. IJCNN 2013: 1-8 - 2012
- [j18]Michael C. Avery, Douglas A. Nitz, Andrea Chiba, Jeffrey L. Krichmar:
Simulation of cholinergic and noradrenergic modulation of behavior in uncertain environments. Frontiers Comput. Neurosci. 6: 5 (2012) - [j17]Frederick C. Harris Jr., Jeffrey L. Krichmar, Hava T. Siegelmann, Hiroaki Wagatsuma:
Guest Editorial: Biologically Inspired Human-Robot Interactions - Developing More Natural Ways to Communicate with our Machines. IEEE Trans. Auton. Ment. Dev. 4(3): 190-191 (2012) - [j16]Derrik E. Asher, Andrew Zaldivar, Brian Barton, Alyssa A. Brewer, Jeffrey L. Krichmar:
Reciprocity and Retaliation in Social Games With Adaptive Agents. IEEE Trans. Auton. Ment. Dev. 4(3): 226-238 (2012) - [c18]Derrik E. Asher, Shunan Zhang, Andrew Zaldivar, Michael D. Lee, Jeffrey L. Krichmar:
Modeling individual differences in socioeconomic game playing. CogSci 2012