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Jeffrey 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
- [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
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
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
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
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks 161: 228-241 (2023) - [j57]Adarsha Balaji
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
Selective Memory Replay Improves Exploration in a Spiking Wavefront Planner. IJCNN 2023: 1-8 - [c46]Lars Niedermeier
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
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j53]Pawel Ladosz
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
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
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
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
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
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
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
Dynamic Reliability Management in Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 17(4): 63:1-63:27 (2021) - [j47]Hirak Jyoti Kashyap
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
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. AAAI 2021: 10452-10459 - [c40]Xinyun Zou
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
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. ICONS 2021: 10:1-10:9 - [c38]Kexin Chen
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
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
A neural model of schemas and memory encoding. Biol. Cybern. 114(2): 169-186 (2020) - [j45]Kexin Chen
Neurorobots as a Means Toward Neuroethology and Explainable AI. Frontiers Neurorobotics 14: 570308 (2020) - [j44]Marwen Belkaid
Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine. Neural Networks 125: 10-18 (2020) - [j43]Xinyun Zou
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
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
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
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. IJCNN 2020: 1-8 - [c34]Xinyun Zou
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
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
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
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
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
Thermodynamic Computing. CoRR abs/1911.01968 (2019) - 2018
- [j37]Siva Venkadesh
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
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout. Neural Networks 99: 134-147 (2018) - [j34]Huajin Tang
Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems. IEEE Trans. Cogn. Dev. Syst. 10(2): 122-125 (2018) - [j33]Tiffany Hwu
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
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
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
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
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
Neurobiologically Inspired Robotics: Enhanced Autonomy through Neuromorphic Cognition. Neural Networks 72: 1-2 (2015) - [j27]Michael Beyeler
A GPU-accelerated cortical neural network model for visually guided robot navigation. Neural Networks 72: 75-87 (2015) - [c25]Michael Beyeler
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
Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex. Neuroinformatics 12(3): 435-454 (2014) - [c24]Kristofor D. Carlson, Michael Beyeler
GPGPU accelerated simulation and parameter tuning for neuromorphic applications. ASP-DAC 2014: 570-577 - [c23]Derrik E. Asher
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
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
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
Value and reward based learning in neurorobots. Frontiers Neurorobotics 7: 13 (2013) - [j19]Michael Beyeler
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
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
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.
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
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 - [c17]Suhas E. Chelian, Nicolas Oros, Andrew Zaldivar, Jeffrey L. Krichmar
Model of the interactions between neuromodulators and prefrontal cortex during a resource allocation task. ICDL-EPIROB 2012: 1-6 - [c16]Nicolas Oros, Jeffrey L. Krichmar
Neuromodulation, attention and localization using a novel Android™ robotic platform. ICDL-EPIROB 2012: 1-6 - [c15]Michael C. Avery, Jeffrey L. Krichmar
Spiking neuron model of basal forebrain enhancement of visual attention. IJCNN 2012: 1-8 - [c14]Jeffrey L. Krichmar
A biologically inspired action selection algorithm based on principles of neuromodulation. IJCNN 2012: 1-8 - 2011
- [j15]Micah Richert, Jayram Moorkanikara Nageswaran, Nikil D. Dutt
An Efficient Simulation Environment for Modeling Large-Scale Cortical Processing. Frontiers Neuroinformatics 5: 19 (2011) - [c13]Jeffrey L. Krichmar
Neuromorphic and Brain-Based Robots. BICA 2011: 209-214 - [c12]Jeffrey L. Krichmar
Neuromorphic modeling abstractions and simulation of large-scale cortical networks. ICCAD 2011: 334-338 - [c11]Derrik E. Asher, Andrew Zaldivar, Brian Barton, Alyssa A. Brewer, Jeffrey L. Krichmar
The effects of neuromodulation on human-robot interaction in games of conflict and cooperation. IJCNN 2011: 2087 - 2010
- [c10]Derrik E. Asher
Effect of neuromodulation on performance in game playing: A modeling study. ICDL 2010: 155-160 - [c9]Andrew Zaldivar, Derrik E. Asher
Simulation of How Neuromodulation Influences Cooperative Behavior. SAB 2010: 649-660 - [c8]Jayram Moorkanikara Nageswaran, Micah Richert, Nikil D. Dutt
Towards reverse engineering the brain: Modeling abstractions and simulation frameworks. VLSI-SoC 2010: 1-6
2000 – 2009
- 2009
- [j14]Jayram Moorkanikara Nageswaran, Nikil D. Dutt
A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors. Neural Networks 22(5-6): 791-800 (2009) - [j13]Brian R. Cox, Jeffrey L. Krichmar
Neuromodulation as a robot controller. IEEE Robotics Autom. Mag. 16(3): 72-80 (2009) - [c7]Jayram Moorkanikara Nageswaran, Nikil D. Dutt
Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors. IJCNN 2009: 2145-2152 - 2008
- [j12]Jeffrey L. Krichmar
The Neuromodulatory System: A Framework for Survival and Adaptive Behavior in a Challenging World. Adapt. Behav. 16(6): 385-399 (2008) - [j11]Jeffrey L. McKinstry, Anil K. Seth
Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices. Neural Networks 21(4): 553-561 (2008) - [j10]Jeffrey L. Krichmar:
Neurorobotics. Scholarpedia 3(3): 1365 (2008) - 2007
- [c6]Jeffrey L. Krichmar
Design Principles and Constraints Underlying the Construction of Brain-Based Devices. ICONIP (2) 2007: 157-166 - 2006
- [c5]Jason Fleischer, Botond Szatmáry, Donald Hutson, Douglas Moore, James A. Snook, Gerald M. Edelman, Jeffrey L. Krichmar
A Neurally Controlled Robot Competes and Cooperates with Humans in Segway Soccer. ICRA 2006: 3673-3678 - 2005
- [j9]Jeffrey L. Krichmar
Brain-Based Devices for the Study of Nervous Systems and the Development of Intelligent Machines. Artif. Life 11(1-2): 63-77 (2005) - [j8]Anil K. Seth
Neurorobotic models in neuroscience and neuroinformatics. Neuroinformatics 3(3): 167-170 (2005) - [j7]Jeffrey L. Krichmar
Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions. Neuroinformatics 3(3): 197-221 (2005) - 2004
- [j6]Anil K. Seth
Active Sensing of Visual and Tactile Stimuli by Brain-based Devices. Int. J. Robotics Autom. 19(4) (2004) - [c4]Anil K. Seth, Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar:
Texture Discrimination by an Autonomous Mobile Brain-based Device with Whiskers. ICRA 2004: 4925-4930 - 2003
- [c3]Jeffrey L. Krichmar, Gerald M. Edelman:
Brain-based devices: intelligent systems based on principles of the nervous system. IROS 2003: 940-945 - 2002
- [c2]Jeffrey L. Krichmar, James A. Snook:
A Neural Approach to Adaptive Behavior and Multi-Sensor Action Selection in a Mobile Device. ICRA 2002: 3864-3869 - 2001
- [j5]Jeffrey L. Krichmar
Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines. Complex. 6(3): 51-53 (2001) - [j4]Slawomir J. Nasuto
Relation between neuronal morphology and electrophysiology in the Kainate lesion model of Alzheimer's Disease. Neurocomputing 38-40: 1477-1487 (2001) - 2000
- [j3]Stuart D. Washington, Giorgio A. Ascoli, Jeffrey L. Krichmar
A statistical analysis of dendritic morphology's effect on neuron electrophysiology of CA3 pyramidal cells. Neurocomputing 32-33: 261-269 (2000) - [j2]Giorgio A. Ascoli, Jeffrey L. Krichmar
L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology. Neurocomputing 32-33: 1003-1011 (2000)
1990 – 1999
- 1999
- [j1]Jeffrey L. Krichmar
A solution to the feature correspondence problem inspired by visual scanpaths. Neurocomputing 26-27: 769-778 (1999) - 1997
- [c1]Jeffrey L. Krichmar
A Model of Cerebellar Saccadic Motor Learning Using Qualitative Reasoning. IWANN 1997: 133-145
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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