Avery, M., Krichmar, J.L., and Dutt, N. (2012). Spiking Neuron Model of Basal Forebrain Enhancement of Visual Attention. Paper to be presented at: International Joint Conference on Neural Networks (Brisbane, Australia).[pdf]
Krichmar, J.L. (2012). A Biologically Inspired Action Selection Algorithm Based on Principles of Neuromodulation. Paper to be presented at: International Joint Conference on Neural Networks (Brisbane, Australia).[pdf][MATLAB script]
Avery, M.C., Nitz, D.A., Chiba, A.A., and Krichmar, J.L. (2012). Simulation of Cholinergic and Noradrenergic Modulation of Behavior in Uncertain Environments. Frontiers in Computational Neuroscience 6, 1-16.[pdf]
Krichmar, J.L., and Wagatsuma, H. (2011). Neuromorphic and Brain-Based Robots. In Biologically Inspired Cognitive Architectures, A.V. Samsonovich, and K.R. Jóhannsdóttir, eds. (IOS Press), pp. 209-214.[pdf]
Krichmar, J.L., Dutt, N., Nageswaran, J.M., and Richert, M. (2011). Neuromorphic Modeling Abstractions and Simulation of Large-Scale Cortical Networks. Paper presented at: IEEE/ACM International Conference on Computer-Aided Design (ICCAD) (San Jose, CA).[pdf]
Richert, M., Nageswaran, J.M., Dutt, N., and Krichmar, J.L. (2011). An efficient simulation environment for modeling large-scale cortical processing. Frontiers in Neuroinformatics 5, 1-15.[pdf][sourcecode]
Nageswaran, J.M., Richert, M., Dutt, N., and Krichmar, J.L. (2010). Towards reverse engineering the brain: Modeling abstractions and simulation frameworks. Paper presented at: VLSI System on Chip Conference (VLSI-SoC), 2010 18th IEEE/IFIP.[pdf]
Zaldivar, A., Asher, D.E., and Krichmar, J.L. (2010). Simulation of How Neuromodulation Influences Cooperative Behavior. In Simulation of Adaptive Behavior: From Animals to Animats, S. Doncieux, J.-A. Meyer, A. Guillot, and J. Hallam, eds. (Berlin Heidelberg, Springer-Verlag Lecture Notes on Artificial Intelligence (LNAI 6226)), pp. 649-660.[pdf]
Asher, D.E., Zaldivar, A., and Krichmar, J.L. (2010). Effect of Neuromodulation on Performance in Game Playing: A Modeling Study. Paper presented at: 2010 IEEE 9th International Conference on Development and Learning (Ann Arbor, Michigan, IEEE Xplore).[pdf]
Nageswaran, J.M., Dutt, N., Krichmar, J.L., Nicolau, A., and Veidenbaum, A.V. (2009). A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors. Neural Networks 22, 791-800.[ScienceDirect-pdf]
Cox BR, Krichmar JL. (2009) Neuromodulation as a Robot Controller: A Brain Inspired Design Strategy for Controlling Autonomous Robots. IEEE Robotics & Automation Magazine September 2009. [pdf] [see CARL-1 videos]
Moorkanikara Nageswaran, J., Dutt, N., Krichmar, J.L., Nicolau, A., and Veidenbaum, A.
(2009). Efficient Simulation of Large-Scale Spiking Neural Networks Using CUDA
Graphics Processors Paper presented at: IJCNN (Atlanta, GA)[pdf]
Krichmar, J.L. (2008). The Neuromodulatory System - A Framework for Survival and Adaptive Behavior in a Challenging World. Adaptive Behavior, 16, 385-399. [pdf]
McKinstry, J.L., Seth, A.K., Edelman, G.M., and Krichmar, J.L. (2008). Embodied Models of Delayed Neural Responses: Spatiotemporal Categorization and Predictive Motor Control in Brain Based Devices. Neural Networks 21, 553-561. [pdf]
J.G. Fleischer and J.L. Krichmar (2007). Sensory integration and remapping in a medial temporal lobe model during maze navigation by a brain-based device. Journal of Integrative Neuroscience, 6(3):403-431. [pdf]
J.G. Fleischer, J.A. Gally, G.M.
Edelman, and J.L. Krichmar (2007) Retrospective and prospective
responses arising in a modeled hippocampus during maze navigation
by a brain-based device. Proc Nat Acad Sci USA 104(9):3556-3561. [pdf]
J.L. Krichmar and G.M. Edelman (2006). Principles Underlying the Construction of Brain-Based Devices, In Adaptation in Artificial and Biological Systems, T. Kovacs, and J. A. R. Marshall, eds. (Bristol UK: Society for the Study of Artificial Intelligence and the Simulation of Behaviour), pp. 37-42. [pdf]
J.L. McKinstry, G.M. Edelman, J.L. Krichmar (2006) A cerebellar model for predictive motor control tested in a brain-based device Proc Natl Acad Sci USA, 103: 3387-3392. [pdf]
J.G. Fleischer, B. Szatmáry, D.B. Hutson, D.A. Moore,
J.A. Snook, G.M. Edelman, J.L. Krichmar (2006) A neurally
controlled robot competes and cooperates with humans in Segway
Sooccer. In Proceedings of the IEEE International Conference on
Robotics and Automation, to appear. [pdf]
B. Szatmáry, J.G. Fleischer, D.B. Hutson, D.A. Moore,
J.A. Snook, G.M. Edelman, J.L. Krichmar (2006) A Segway-based
human-robot soccer team. In Proceedings of the IEEE International
Conference on Robotics and Automation, to appear. [pdf]
Krichmar, J.L. and G.M. Edelman, (2005) Brain-Based Devices for the Study of Nervous Systems and the Development of Intelligent Machines. Artificial Life, 11(1-2): p. 63-78.[pdf].
J.L. Krichmar, A.K. Seth, D.A. Nitz, J.G. Fleischer, G.M. Edelman (2005) Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions. Neuroinformatics, 3(3), pp. 197-222 [pdf].
A.K. Seth, O. Sporns, J.L. Krichmar (2005) Neurorobotic models in neuroscience and neuroinformatics. Neuroinformatics 3(3), pp. 167-170 [pdf].
J.L. Krichmar, D. A. Nitz, J.A. Gally, and G. M. Edelman (2005).
Characterizing functional hippocampal pathways in a brain-based device
as it solves a spatial memory task. Proc Natl Acad Sci USA, 102:
2111-2116. [Abstract]
[Full Text]
[Figures
Only] [PDF]
[Supporting
Information]
A.K. Seth, J.L. McKinstry, G.M. Edelman, and J.L. Krichmar (2004).
Visual binding through reentrant connectivity and dynamic
synchronization in a brain-based device. Cerebral Cortex, 14:11,
1185-99. Article is reprinted, with permission, from Oxford University
Press. [full
text/pdf]
A.K. Seth, J.L. McKinstry, G.M. Edelman, J.L. Krichmar (2004) Texture
discrimination by an autonomous mobile brain-based device with
whiskers. Proceedings of the 2004 IEEE International Conference on
Robotics & Automation (ICRA), New Orleans, LA, April 2004.
pp. 4925-4930 [pdf].
J.L. Krichmar, G.M. Edelman (2003). Brain-Based Devices: Intelligent
Systems Based on Principles of the Nervous System. In IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS). pp.
940-945: Las Vegas, NV, [pdf].
J.L. Krichmar, G.M. Edelman, (2002) Machine Psychology: Autonomous
Behavior, Perceptual Categorization and Conditioning in a Brain-Based
Device, Cerebral Cortex 12:818-830.[pdf].
Article is reprinted, with permission, from Oxford University Press.
J.L. Krichmar, J.A. Snook (2002) A Neural Approach to Adaptive Behavior
and Multi-Sensor Action Selection in a Mobile Device, Proceedings of
the 2002 IEEE International Conference on Robotics and Automation,
3864-3869 [pdf].
J.L. Krichmar, J.A. Snook, G.M. Edelman, O. Sporns, (2000)
Experience-dependent Perceptual Categorization in a Behaving Real-World
Device, From Animals to Animats 6: Proceedings of the Sixth
International Conference on the Simulation of Adaptive Behavior, MIT
Press [pdf].
Article is reprinted, with permission, from From
Animals To Animats 6, published by the MIT Press.
Contact Jeff Krichmar for more information.