Jeffrey L. Krichmar

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 73

Top Venues

CoRR

IJCNN

Frontiers Neurorobotics

Neural Networks

Publications

Lars Niedermeier, Jeffrey L. Krichmar
An Integrated Toolbox for Creating Neuromorphic Edge Applications. CoRR (2024)
Nicholas Alonso, Jeffrey L. Krichmar, Emre Neftci
Understanding and Improving Optimization in Predictive Coding Networks. AAAI (2024)
Harrison Espino, Robert Bain, Jeffrey L. Krichmar
A Rapid Adapting and Continual Learning Spiking Neural Network Path Planning Algorithm for Mobile Robots. CoRR (2024)
Jeffrey L. Krichmar, Chuanxiuyue He
Importance of Path Planning Variability: A Simulation Study. Top. Cogn. Sci. 15 (1) (2023)
Lars Niedermeier, Jeffrey L. Krichmar
Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations. IJCNN (2023)
Harrison Espino, Robert Bain, Jeffrey L. Krichmar
Selective Memory Replay Improves Exploration in a Spiking Wavefront Planner. IJCNN (2023)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
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)
Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability. CoRR (2022)
Jeffrey L. Krichmar, Tiffany Hwu
Design Principles for Neurorobotics. Frontiers Neurorobotics 16 (2022)
Nick Alonso, Beren Millidge, Jeffrey L. Krichmar, Emre O. Neftci
A Theoretical Framework for Inference Learning. NeurIPS (2022)
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) (2022)
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) (2022)
Jinwei Xing, Xinyun Zou, Praveen K. Pilly, Nicholas A. Ketz, Jeffrey L. Krichmar
Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning. SAB (2022)
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) (2022)
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)
Jeffrey L. Krichmar, James Leland Olds, Juan Vicente Sánchez-Andrés, Huajin Tang
Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives. Frontiers Neurorobotics 15 (2021)
Jeffrey L. Krichmar
Edelman's Steps Toward a Conscious Artifact. CoRR (2021)
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) (2021)
Jeffrey L. Krichmar
Gerald Edelman's Steps Toward a Conscious Artifact. J. Artif. Intell. Conscious. 8 (2) (2021)
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)
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) (2021)
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)
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 (2021)
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)
Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. CoRR (2021)
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 (2021)
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 (2021)
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) (2021)
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 (2021)
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)
Tiffany Hwu, Jeffrey L. Krichmar
A neural model of schemas and memory encoding. Biol. Cybern. 114 (2) (2020)
Marwen Belkaid, Jeffrey L. Krichmar
Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine. Neural Networks 125 (2020)
Tiffany Hwu, Hirak Jyoti Kashyap, Jeffrey L. Krichmar
A Neurobiological Schema Model for Contextual Awareness in Robotics. IJCNN (2020)
Kexin Chen, Tiffany Hwu, Hirak Jyoti Kashyap, Jeffrey L. Krichmar, Kenneth Stewart, Jinwei Xing, Xinyun Zou
Neurorobots as a Means Toward Neuroethology and Explainable AI. Frontiers Neurorobotics 14 (2020)
Andrea A. Chiba, Jeffrey L. Krichmar
Neurobiologically Inspired Self-Monitoring Systems. Proc. IEEE 108 (7) (2020)
Xinyun Zou, Tiffany Hwu, Jeffrey L. Krichmar, Emre Neftci
Terrain Classification with a Reservoir-Based Network of Spiking Neurons. ISCAS (2020)
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 (2020)
Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. IJCNN (2020)
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 (2020)
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) (2020)
Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar
Neuromodulated attention and goal-driven perception in uncertain domains. Neural Networks 125 (2020)
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)
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 (2019)
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) (2019)
Hirak Jyoti Kashyap, Charless C. Fowlkes, Jeffrey L. Krichmar
Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes. CoRR (2019)
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 (2019)
Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar
Neuromodulated Goal-Driven Perception in Uncertain Domains. CoRR (2019)
Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. CoRR (2019)
Soheil Kolouri, Nicholas Ketz, Xinyun Zou, Jeffrey L. Krichmar, Praveen K. Pilly
Attention-Based Structural-Plasticity. CoRR (2019)
Jeffrey L. Krichmar
A Neurobiologically Inspired Plan Towards Cognitive Machines. AAAI Spring Symposium: Towards Conscious AI Systems (2019)
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)
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 (2019)
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)
Jeffrey L. Krichmar, William Severa, Salar M. Khan, James Leland Olds
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future. CoRR (2018)
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)
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) (2018)
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) (2018)
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 (2018)
Jeffrey L. Krichmar
Neurorobotics - A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots. Frontiers Neurorobotics 12 (2018)
Jeffrey L. Krichmar, Ting-Shuo Chou
A Tactile Robot for Developmental Disorder Therapy. APAScience (2018)
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 (2018)
Tiffany Hwu, Jeffrey L. Krichmar, Xinyun Zou
A complete neuromorphic solution to outdoor navigation and path planning. ISCAS (2017)
Tiffany Hwu, Jacob Isbell, Nicolas Oros, Jeffrey L. Krichmar
A self-driving robot using deep convolutional neural networks on neuromorphic hardware. IJCNN (2017)
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 (2017)
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 (2017)
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 (2017)
Jeffrey L. Krichmar
Path planning using a spiking neuron algorithm with axonal delays. CEC (2016)
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)
Tiffany Hwu, Jacob Isbell, Nicolas Oros, Jeffrey L. Krichmar
A Self-Driving Robot Using Deep Convolutional Neural Networks on Neuromorphic Hardware. CoRR (2016)
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 (2015)
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)
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) (2015)
Michael C. Avery, Jeffrey L. Krichmar
Improper activation of D1 and D2 receptors leads to excess noise in prefrontal cortex. Frontiers Comput. Neurosci. 9 (2015)
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 (2015)
Jeffrey L. Krichmar, Jörg Conradt, Minoru Asada
Neurobiologically Inspired Robotics: Enhanced Autonomy through Neuromorphic Cognition. Neural Networks 72 (2015)
Derrik E. Asher, Jeffrey L. Krichmar, Nicolas Oros
Evolution of biologically plausible neural networks performing a visually guided reaching task. GECCO (2014)
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) (2014)
Liam D. Bucci, Ting-Shuo Chou, Jeffrey L. Krichmar
Sensory decoding in a tactile, interactive neurorobot. ICRA (2014)
Andrew Zaldivar, Jeffrey L. Krichmar
Allen Brain Atlas-Driven Visualizations: a web-based gene expression energy visualization tool. Frontiers Neuroinformatics 8 (2014)
Kristofor D. Carlson, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar
GPGPU accelerated simulation and parameter tuning for neuromorphic applications. ASP-DAC (2014)
Kristofor D. Carlson, Jayram Moorkanikara Nageswaran, Nikil D. Dutt, Jeffrey L. Krichmar
Design space exploration and parameter tuning for neuromorphic applications. CODES+ISSS (2013)
Jeffrey L. Krichmar
The Cognitive Anteater Robotics Laboratory (CARL) at the University of California, Irvine. IEEE Intell. Informatics Bull. 14 (1) (2013)
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)
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 (2013)
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 Conference (2013)
Jeffrey L. Krichmar, Florian Röhrbein
Value and reward based learning in neurorobots. Frontiers Neurorobotics 7 (2013)
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) (2013)
Jeffrey L. Krichmar
A neurorobotic platform to test the influence of neuromodulatory signaling on anxious and curious behavior. Frontiers Neurorobotics 7 (2013)
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 (2013)
Michael C. Avery, Jeffrey L. Krichmar, Nikil D. Dutt
Spiking neuron model of basal forebrain enhancement of visual attention. IJCNN (2012)
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) (2012)
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) (2012)
Derrik E. Asher, Shunan Zhang, Andrew Zaldivar, Michael D. Lee, Jeffrey L. Krichmar
Modeling individual differences in socioeconomic game playing. CogSci (2012)
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 (2012)
Jeffrey L. Krichmar
A biologically inspired action selection algorithm based on principles of neuromodulation. IJCNN (2012)
Suhas E. Chelian, Nicolas Oros, Andrew Zaldivar, Jeffrey L. Krichmar, Rajan Bhattacharyya
Model of the interactions between neuromodulators and prefrontal cortex during a resource allocation task. ICDL-EPIROB (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jeffrey L. Krichmar